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Photo Essay: College of Science and Engineering Research Showcase
Fourth-year Mechanical Engineering major Jess Visaya and Fourth-year Mechanical Engineering major Dorette Pirie show off their soft robots. The robots are made to mimic worms, whose bodies bunch up before extending to propel themselves forward. The robots use pneumatic actuators to make linear movement outwards. Visaya and Pirie set up two of their worms with syringes attached to tubing which was then threaded through the end cap into the worms. Visitors to their station were encouraged to race the two worms by pumping the attached syringes. Third-year Biochemistry major Ira Evetts worked in Dr. Christopher Whidbey’s lab studying the vaginal microbiome, in an attempt to better understand the different microbes that build it up and how it affects health outcomes. Evetts’ research was specifically focused on lactobacillus iners, one of several bacteria naturally present in a healthy vaginal microbiome, and methylation systems. Fourth-year Mechanical Engineering major John Diesko Boehm and Fourth-Year Mechanical Engineering major Ian Agopsowicz hold up their “DAQMobile.” They built their project, a modified RC kit car, to help teach mechanical engineers about circuits and electrical design through real-world application. Fourth-year Mechanical Engineering major Ben Murphy holds up his mole crab and crawfish-inspired burrower. Murphy wanted to imitate the motion of a crab’s legs through robotics, with the primary goal to “turn the rotation of one motor into four alternating legs that would successfully displace soil.” Murphy was inspired by works that take inspiration from the natural world, and he found mole crabs particularly interesting. Although a mole crab is at an advantage with its burrowing being underwater, thus the sand being fluidized and easier to displace, Murphy’s machine is able to successfully burrow three centimeters into the ground. Second-year Mechanical Engineering major and Physics major Arabelle Miller shows off her rubber gripper, inspired by kirigami and origami. She took a piece of rubber and strategically cut slits into it to make it fold the way she needed, then glued googly eyes to the front. The gripper is able to hold up to 38 times its weight, or 226 grams. Third-year Mechanical Engineering major Joonseong Park talked about how his project took an unused and broken 3-D printer and transformed it into a testing platform for soft robotic grippers. The former-printer was reprogrammed and had its extruder part modified to be a mount for the grippers. Park shows off some of the other grippers that can be attached to the testing platform. Park classified grippers into two large categories. The first set of grippers is designed to deal with small delicate objects with great precision, and the second is made to lift heavy or large objects. Third-year Mechanical Engineering major Jiashuo Liu set out with a goal to deploy free open-source AI models to pre-existing robots to integrate object recognition and retrieval and command. The models are used to process the data received from the robots’ cameras in order to detect certain objects and their locations. Fourth-year Mechanical Engineering major Cole Purohit focused on agricultural automation of raspberry picking. His project utilizes kirigami to make grippers to close around a raspberry when the two ends are pulled. “Nobody wants to eat a squished raspberry,” Purohit said. Fourth-Year Biochemistry major Mariel Nolan’s project focused on bacteria and proteins within the bacteria whose functions are unknown. Nolan’s research is finding a way to isolate those proteins with the ultimate goal of determining their functions. Fourth-year Mechanical Engineering major Kai Boydon and Fourth-year Mechanical Engineering major Evan Nguyen show off their project, which uses custom extensors to help with the rehabilitation of stroke patients. They compared their project to a “party-popper” in the way it unfurls itself when placed under a patient’s fingers, helping the stroke patient rehabilitate finger movement. Boydon shows off the testing rig built for their project. It works as a mount for their extensor, as a way to test against resistance. Their program inflates the extensor through an air pump, which then makes the extensor push against the bed whilst an arduino calculates the force created and air pressure associated with the force. Navigate Left Navigate Right
How State Public Health and Medicaid Agencies Can Build Partnerships to Improve Outcomes
Throughout the country, states are working to improve health outcomes with the efficient use of resources. In particular, they are building partnerships between public health and Medicaid agencies to better align programs, funding, and expertise around shared goals.
Arizona’s poet laureate: Humanities an essential part of health care
Alberto Ríos had a story to tell.Ríos, Arizona’s inaugural poet laureate and director of Arizona State University’s Virginia G. Piper Center for Creative Writing, was taking part in a fireside chat as the featured guest for ASU Health’s “Narrative Medicine and Impact on Health Outcomes” event, part of the Grand Rounds speaker series.
What does voter suppression have to do with health?
Public health researchers have long examined how societal forces can shape health outcomes. Decades after redlining was outlawed, for example, researchers continue to document its lasting effects on life ...
Advancing Women's Health Through Collaboration, Innovation and Entrepreneurship - Small Business & Entrepreneurship Council
White House initiative connects government, researchers, and private-sector innovators to accelerate discoveries and improve women’s health outcomes. By Karen Kerrigan – On October 19, I had the opportunity to attend the White House signing ceremony for President Donald Trump’s executive order, Advancing Women’s Health to Improve Outcomes in All Phases of Life, an initiative championed […]
Advancing Women's Health Through Collaboration, Innovation and Entrepreneurship - Small Business & Entrepreneurship Council
White House initiative connects government, researchers, and private-sector innovators to accelerate discoveries and improve women’s health outcomes. By Karen Kerrigan – On October 19, I had the opportunity to attend the White House signing ceremony for President Donald Trump’s executive order, Advancing Women’s Health to Improve Outcomes in All Phases of Life, an initiative championed […]
Toledo residents share concerns about long-term health impacts from chemical leak
Exposure risks might have died down, but there are concerns about what living through the chemical leak means for future health outcomes.
Birth centers are linked to better health outcomes, research shows, but 10 states have none
Birth centers are an option for those with low-risk pregnancies and are correlated with more positive health outcomes, but 10 states do not have any birth centers at all, and more could be built with certain state policy solutions and different models of care, a new report suggests.
Every Mother Counts Board Visits With UAMS Institute for Community Health Innovation, Ignite
Members of the Every Mother Counts Board of Directors recently visited the University of Arkansas for Medical Sciences (UAMS) Institute for Community Health Innovation and Ignite Professional Studies and saw first-hand how community leaders are paving the way to improve maternal health outcomes in Arkansas. Founded by Christy Turlington Burns,…
How Rutgers Is Training Tomorrow’s Public Health Heroes
Since its launch in 2024, the Rutgers Health Service Corps has connected students with faculty and staff to improve population health outcomes throughout New Jersey
AltaCair Foundation hosts conference on bridging AI and health outcomes
The focus of Accelerator 2026 was on the practical role of AI in healthcare, access, whole person care, and community impact.
Louisiana renews deals with 4 Medicaid providers; lawmakers want better health outcomes
Louisiana lawmakers renewed state contracts Thursday with four private managed care organizations that provide Medicaid coverage, calling on state health officials to ensure the money results in better health outcomes.
Women’s Health Conference highlights 50th anniversary of Nurses’ Health Study | Harvard T.H. Chan School of Public Health
Speakers highlighted solutions for improving women's health outcomes, and marked the 50th anniversary of the landmark Nurses' Health Study.
Federal maternal, infant health data collection system remains weak, puts health outcomes in jeopardy | Harvard T.H. Chan School of Public Health
Medicaid funding cuts are jeopardizing the health of U.S. mothers and infants—and with a weak federal database to monitor maternal health outcomes, the consequences may be invisible, according to Harvard Chan School experts.
Studies examine the connection between primary care provider resources and health outcomes for type 2 diabetes patients
Within the medical ecosystem, health guidelines aim for timely diagnosis and regular follow-up of chronic illnesses, such as type 2 diabetes, to ensure that no patient gets left behind. However, two studies ...
Applications for N.C. rural health fund open next week, expanding healthcare access in rural communities
The N.C. Rural Health Innovation Fund aims to improve rural health outcomes through technological innovation.
Trusted support improves mental health in LGBQ+ teens
Gay or bisexual teens who have someone to turn to with a serious problem have significantly better mental health outcomes than those who don't, according to a new study from Tulane University researchers.
Having someone to talk to linked to better mental health among LGBQ+ teens
Gay or bisexual teens who have someone to turn to with a serious problem have significantly better mental health outcomes than those who don't, according to a new study from Tulane University researchers.
Meet our new faculty: Leo Martinez
Dr. Martinez’s research uses epidemiologic and quantitative methods to study tuberculosis prevention, transmission, and long-term health outcomes.
This Workout Timing Shift Could Boost Your Health Outcomes
Wakey wakey, time to get your heart healthy
New Editorial Calls for Investing in Hospital Nursing Workforce to Address Health Impacts of Extreme Heat
Hospitals should make nurse staffing and supportive nurse work environments a core part of extreme heat emergency preparedness, according to a new editorial from Penn Nursing’s Center for Health Outcomes and Policy Research (CHOPR), as record-breaking temperatures and heat-related emergency department visits continue to rise across the United States. The editorial appears in Public Health Nursing.
TempraMed Announces VIVI Cap Smart Connectivity with Apple Health and Google Fit, Providing Better Health Outcomes and Data Tracking
VIVI Cap Smart transforms injectable medication protection into a connected health-data layer, enabling patients, caregivers and digital-health platforms to capture medication-use, temperature and adherence signals.Toronto, Ontario--(Newsfile Corp. - October 5, 2026) - TempraMed Technologies Ltd. (CSE: VIVI) (OTCQB: TMPTF) (FSE: 9DY) ("TempraMed" or the "Company"), a medical technology company transforming the storage, protection and management of temperature-sensitive medications, is pleased to
Florida Blue Foundation now accepting grant applications for maternal health initiatives
Getting your Trinity Audio player ready... The Florida Blue Foundation, the philanthropic affiliate of Florida Blue and part of the GuideWell portfolio of companies, now is accepting grant applications from nonprofits focused on improving maternal health outcomes in Florida. The foundation seeks to fund Florida-based nonprofits with innovative and actionable solutions designed to improve maternal […]
It’s Time We Reframe Healthcare Organizational Culture Using Behavioral Science
Data, behavioral insights, and experimentation can be used to understand how stress, motivation, and trust shape company culture. Positively changing company culture leads to direct improvements in patient health outcomes, clinician wellbeing, and company performance.
How you can help your grandparents age well, says researcher—it could benefit your well-being too
Being an involved grandparent is associated with positive health outcomes like a lower risk of mortality. Here's how it can benefit the entire family tree.
Executive Director speech at EMA women’s health multi-stakeholder workshop
Emer Cooke spoke about EMA’s role in helping improve health outcomes for women
Study connects food insecurity to mental health in young mothers
A new review of research from across sub-Saharan Africa found that inadequate access to food is linked to depression, suicide attempts, HIV vulnerabilities, and poorer sexual and reproductive health outcomes among adolescent mothers.
Virginia Tech leads multimillion-dollar project for women's health
The National Institutes of Health (NIH) has funded a Virginia Tech–led research project to better understand and predict women’s health outcomes by investigating how hormones shape the structure and function of vaginal tissue across the lifespan. The award for up to $9.26 million is part of a growing initiative by the NIH Office of Research on Women’s Health.
When “DEI” research is cut, what happens to community health?
“I’m just going to run to the grocery store!” How many times have we said this without thinking about it? For most of us, it's usually an easy walk or a short drive to get the cheese we forgot. In reality, though, 13% of the U.S. population (about 39 million people) live in “food deserts,” which means living more than a mile from a grocery store in urban areas and more than 10 miles in rural areas. This was the case for people in Pittsburgh’s Hill District, where a quick run to buy food wasn’t an option. In the 1930s, federal maps marked the Hill as "hazardous" for lending, a practice known as redlining that steered investment away from Black neighborhoods. Decades of disinvestment followed, and residents went about 30 years without a nearby grocery store. This made it hard to keep healthy eating habits and contributed to chronic disease. When a grocery store finally opened in the area in 2013, researchers saw the opportunity and launched the PHRESH study, which initially compared the health of participants from the Hill district to those in the Homewood district. Over time, the study expanded to other factors such as brain health and Alzheimer's risk. Residents like Roderick Blair overcame initial hesitation to share their health data, trusting it would benefit their neighborhood. Then, in August 2026, the NIH abruptly canceled the study’s grant, citing that it was “subjective” and fell outside their scientific scope—an effect of the administration’s interpretation of diversity, equity and inclusion (DEI). Research like PHRESH can help determine what changes in a neighborhood actually improve health, so cutting it has left that question unanswered. Other canceled studies have examined health issues like maternal health, preterm birth rates, or sickle cell disease. Courts have reversed some of these grant cancellations, but not all of them. If we really want America to be healthier, research into why some communities get sicker than others is absolutely critical. The law that created the federal minority health research institute passed with bipartisan support in 2000. But these days, as evidenced by grant cancellations, the political shift in attitudes toward DEI means we often lose access to the health information we need to help all communities thrive. DEI vs. health equity vs. equality and the overlap (or lack thereof) The letters “DEI” evoke very different reactions depending on who you are in the U.S. DEI programs can address gender, disability, age, and other factors, but the fiercest debate centers on race. For some people, hearing DEI brings to mind policies that may have cost them a job or a college seat because they are white. Others see DEI as a matter of justice: a way to expand representation and opportunity for groups that have been historically marginalized. Both perspectives are rooted in lived experience, and both center on the same question: whether hiring and admissions practices are fair. Hiring and admission practices, though related, are not the same as health equity. Health equity is “the attainment of the highest level of health for all people.” It’s the recognition that some groups of people consistently experience worse health outcomes than others. For instance, black mothers die from pregnancy-related complications at three times the rate of white mothers, and rural Americans are more likely to die from issues such as heart disease and cancer. Equity is also often conflated with “equality,” which leads to misunderstanding of how to actually best support communities. Equality ignores the fact that we aren’t all starting life with the same resources or circumstances, whereas equity is about helping people get what they specifically need based on their situation so they have the chance to achieve the same outcome as anyone else. For example, if every household in Pittsburgh got a $30 grocery gift card, that would be equal. But during the decades the Hill District went without a grocery store, that card wouldn’t have helped much. Equity means making sure everyone can actually access a store in the first place. DEI policies can overlap with health equity in many ways. For example, they may help expand access to quality education and stable, well-paying jobs, which in turn can provide health insurance, safer housing, and improved finances—all of which can reduce health disparities. But to make that happen, we first need data to identify disparities in communities and to develop solutions that effectively address them. What we lose when the research stops Community data is important to health equity because: You can’t fix what you don’t see: Data show which communities are most affected by health factors such as infection, heart disease, and cancer. If we don’t know what is happening and where, then we can’t develop interventions to help. Poor health costs everyone: Chronic disease is expensive—both to the individual person and to the overall economy. Understanding what groups of people are most at risk allows us to develop interventions that can save everyone money. Disparities exist for many communities: Health equity includes disparities that exist due to a whole host of factors, such as family background, race and ethnicity, rural vs. suburban residence, gender and sexual orientation, veteran status, disability, and lower income. This means many Americans can benefit from research into differences in health outcomes and how to improve them. Trust is easy to lose: Some participants in the PHRESH study were initially vocal about their concerns about participating. But that trust was earned because the researchers kept their promises and centered their work on the community. When projects are canceled mid-cycle, researchers have no choice but to leave behind communities they had promised to help. This hurts trust in the long run. It’s also a very inefficient use of resources, and it will take significant time and effort to redo the work when the government realizes this work is important again. How should we talk about health equity? This is hard because the words “equity” and “DEI” are currently very politically charged. So whether you’re a public health professional, teacher, or friend, how we talk about this topic matters. The right framing can help people who might otherwise be skeptical see why health equity research is important and deserves funding. Here are some suggestions to help your conversations: Choose your words strategically: Who are you trying to reach with your message? Are they likely to be resistant to terms like “diversity” and “equity”? If so, find alternative words to use to still get the message across. It is frustrating to be in that position, but the goal of improving health is too important not to try to make inroads. Sometimes simply reframing can help the message reach those who need to hear it. Focus on the problem: The terms “health equity” and “DEI” are abstract. Make it more specific. For example, discuss differences in maternal death or ways to improve health outcomes in rural communities. These still have equity at their core but will likely be better understood by those you’re talking with. Focus on systems: Disparities exist, but if they are communicated poorly, people can mistakenly think the issue is the individual’s fault. Disparities are largely driven by failures of the system—such as lack of access to health care and a long legacy of racism. When discussing the disparities, frame them around these systemic issues to ensure blame isn’t placed on the individuals impacted. Tell stories: Personalize these policies by using stories from those impacted that connect to the data you’re trying to convey. This helps make the policies and outcomes more concrete and meaningful. Bottom line Some communities end up sicker than others. That’s just the facts. We can argue about the best way to do that research, but canceling it simply because it may be linked to DEI doesn’t make anyone healthier. It just leaves communities like the Hill district behind. And in the end, it causes us all to move backward in our efforts to improve health in this country. Love, EM Big thanks to MacKenzie Isaac & Legairre Radden, who reviewed this piece and generously shared their expertise and lived experience to help improve it. Dr. Liz Marnik, PhD, is Executive Director of The Evidence Collective and a science communicator and immunologist working at the intersection of public trust, science, and public health. To discuss communication training on topics like health equity and storytelling, email Liz at liz@yle.health or learn more on our website. Your Local Epidemiologist (YLE) comprises a team of experts, ranging from physicians to immunologists to epidemiologists to nutritionists, working together with one goal: to “translate” ever-evolving public health science so that people are well-equipped to make evidence-based decisions. The YLE suite of newsletters reaches over 475,000 people across more than 132 countries. This newsletter is free to everyone, thanks to the generous support of fellow YLE community members. To support the effort, subscribe or upgrade below: Your Local Epidemiologist is a reader-supported publication. 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Findings from the EHF Texas Health Tracking Poll 2025
The annual EHF Texas Health Tracking Poll 2025 also shows how health care affordability, food insecurity, and health are closely connected. Food-insecure Texans are more than 4.5 times as likely to have medical bill problems as those who are food secure, and health outcomes steadily worsen as food security decreases. Texans who regularly run short...
PAHO and Sint Maarten sign Country Cooperation Strategy to strengthen health system and improve health outcomes
Washington, D.C., 29 September 2026 (PAHO) – The Pan American Health Organization/World Health Organization (PAHO/WHO) and the Government of Sint Maarten today signed the 2026–2031 Country Cooperation Strategy (CCS), establishing a six-year framework to guide cooperation to strengthen the country’s health system and improve the health and well-being of its population.
Syra Health Awarded Three-Year Public Health Analytics Contract with Mississippi State Department of Health
/PRNewswire/ -- Syra Health Corp. (OTCQB: SYRA) ("Syra Health" or the "Company"), an integrated healthcare solutions company powering better health outcomes...
Dietitian wins top science communicator award
A dietitian and researcher investigating the impact of plastics in our diet on health outcomes has won FameLab Australia 2026
WELL Health Subsidiary WELLSTAR Announces Conditional Approval for TSXV Listing and Files Filing Statement
WELLSTAR has received conditional approval from the TSX Venture Exchange as a Tier 1 issuer, subject to satisfaction of the TSXV's customary listing conditions, and is expected to commence trading on or around October 1, 2026, under the ticker symbol "WSTR".Vancouver, British Columbia--(Newsfile Corp. - September 28, 2026) - WELL Health Technologies Corp. (TSX: WELL) (OTCQX: WHTCF) ("WELL"), a digital health company focused on positively impacting health outcomes by leveraging technology to...
Florida Blue Foundation Awards Grants to Address Food Insecurity and Improve Health Outcomes
September 23, 2026 – This September, during Hunger Action Month, Florida Blue Foundation, the philanthropic affiliate of Florida Blue and part of the GuideWell portfolio of companies, is awarding $3.1 million in grants to eight community-based food initiatives across Florida. These grants directly address food insecurity—a critical driver of health—while strengthening communities’ access to nutritious […]
Government inaction, cuts are worsening Louisiana’s health outcomes
Advocates are trying to improve Louisiana’s health rankings. But Louisiana is still ranked last, with few signs of improvement.
Ultra-Processed Foods Linked with Multiple Health Outcomes
Ultra-processed food is linked with multiple chronic disease outcomes with each 100g contributing to an increase in risk, a meta-analysis involving more than eight million people suggests.
Columbia, Maryland ranks as No. 1 city for women due to good job, health outcomes
Columbia, Maryland has been ranked the No. 1 city in the nation for women due to its favorable conditions for good job prospects and positive health outcomes, according to a new survey released by the financial website WalletHub.
Why HIV stigma still shapes health outcomes
Jerrell Hardnett remembers the moment his mother, Stephanie, an HIV nurse, learned he was HIV‑positive. He says she was driving on the highway when “she started crying and praying because […]
Voices: No single organization can address Utah’s mental health crisis alone. We need a new response.
“No single organization can address behavioral health outcomes alone,” Valley Behavioral Health President and CEO Jared Sanford writes in an op-ed. “Progress depends on sustained collaborations.”
Avera Health, USD, SDSU earn joint healthcare grant worth over $11m
It comes with a clear goal – break apart the walls separating research institutions to improve health outcomes for the people of the state.
Experts say Arkansas lacks data about mental health screenings for new mothers, despite state mandate
Since 2023, Arkansas lawmakers have stepped up efforts to improve the state's dismal maternal health outcomes, including a requirement that doctors and other providers offer mental health screenings to women after giving birth.
Experts say Arkansas lacks data about mental health screenings for new mothers, despite state mandate
Since 2023, Arkansas lawmakers have stepped up efforts to improve the state's dismal maternal health outcomes, including a requirement that doctors and other providers offer mental health screenings to women after giving birth.
The Big Holes in Wearable Heart Rate Variability And Readiness Scores
On September 9th, Apple announced it was revamping its Apple Watch Health Sensing System, rolling out a Readiness score (0 to 10), and increasing the frequency of heart rate variability (HRV) outputs 24-fold. This can be viewed as upping its competition with various other consumer wearable sensors. These “readiness scores” as a composite of multiple metrics, with heart rate variability (HRV) being front and center for most. The majority of Americans are now using wearable sensors, which equates to well over 100 million adults. HRV and Readiness scores are increasingly being marketed as a measurement of autonomic nervous system health, a digital marker for future disease, a clock for biological age, and a holistic metric to promote healthspan and even longevity. (Apple also introduced a new longevity tab and “Health Age”.) None of this has been proven. In this edition of Ground Truths I am going to review what we know about heart rate variability and readiness scores. Heart Rate Variability HRV is the variation in normal heart cycle timing. The variability of the heart rate, the barely perceptible millisecond changes in time between consecutive heart beats (see R-R intervals in the Figure below, left panel), is due to interplay between the sympathetic and parasympathetic (vagal nerve) inputs. Distinct from heart rate, individuals with the same heart rate can have very different HRVs. It is a rough reflection of the autonomic nervous system (ANS) activity, inadequate to say whether a person’s ANS function is abnormal. For more than three decades, heart rate variability (HRV) has been measured and several studies have found an association of low HRV and clinical outcomes, particularly a link with higher all-cause and cardiovascular mortality. There have also been less well established links of low HRV to risk of early cognitive impairment, dementia, mental illness, Type 2 diabetes and substance abuse. An important reminder is that HRV is a surrogate marker without any established cause-and-effect relationship. If you increase your HRV, that doesn’t mean it will improve health outcomes. In fact, there is no hard evidence for that. All that work linking to health outcomes was done with electrocardiogram (ECG) derived HRV. Now, in the era of consumer wearables, this is getting assessed differently, by optical pulse (yes, the lights you see) plethysmography (PPG) or what is called pulse rate variability (PRV). They are not the same, as shown below (right panel) and only concordant when the delay between the ECG and pulse is kept constant, which basically means at rest. I should mention there’s also what I will call MPV, a mattress mechanical movement sensor, a derived heart rate variability, that companies like Eight Sleep use, even further away from directly measuring HRV. HRV has not one uniform measurement but many different types of quantification, such as RMSSD, the magnitude of difference between successive R-R intervals of normal sinus beats (N-N) or SDNN, the standard deviation of NN intervals, both in milliseconds. SDNN is one of the so-called frequency domain HRVs (others are LF, HF, LF/HF). Different wearable sensors use different metics; Apple has relied on SDNN and nearly all of the others use RMSSD, which is generally considered the more accurate metric. There’s also the different length of time measured, such as for a matter of minutes, all day, or an overnight’s sleep. Short measurements are especially problematic since they don’t capture enough of respiratory modulation and other factors that influence HRV. Share Ground Truths How well does HRV correlate with PRV? There are very limited studies, especially independently done. One that is commonly cited was conducted by Air Force researchers in only 13 healthy adults assessing Oura ring 3 and 4, Whoop 4.0, and Garmin Fenix 6 and showed a correlation coefficient of 0.88 to 0.97 and a mean absolute percentage error from 6 to 10%. The correlation is not a perfect 1.0, but there’s at least a fairly high level of correlation. HRV is supposed to increase during the night due to takeover of the parasympathetic nervous system, and higher during deep sleep. A recent example of my 1 week, all day “HRV,” and one during sleep is shown below. As you can see, the N of 1 data are inconsistent for the same days from different sensors (Oura, AppleWatch, Fitbit Air, and Eight Sleep) by patterns, absolute numbers, and comparison with prior days and weeks. The largest study in over 8 million Fitbit users (the old version, not Google Fitbit Air, introduced in May 2026) gives you a sense of the effect of age, sex, and the 2 different main HRV (here PRV) metrics, with RMSSD on the left and SDRR (=SDNN) on the right below. That study, from data collected in 2018, is a major outlier, since all the more recent ones are tiny with respect to sample size. Many of the companies have not had independent evaluation of their HRV, such as Eight Sleep, but have published a low standard error on their website. There are some other published studies on the correlation between HRV and PRV, but they are all small and only in healthy adults. A scoping review emphasized the lack of study in underrepresented individuals, including the aged, people of color (which affects the PPG signal), and individuals who are underweight or obese. Add the typical adult age 60 plus with one or more chronic diseases. For example, one study in over 900 adults found poor correlation of HRV and PRV, non-uniformly underestimated across many chronic diseases (cardiovascular, endocrine, neurological, respiratory, and others), concluding PRV is “an invalid surrogate for HRV.” A recent systematic review of 43 studies comparing HRV and PRV found reasonable pooled absolute standardized error (HRV as gold standard) but only 10 of the studies provided quantitative synthesis in ideal conditions. Their main conclusion was similarly cautious: “PPG-derived HRV [PRV] should not be regarded as universally interchangeable with ECG-derived HRV across all devices, populations, and recording contexts.” Factors Affecting HRV and PRV That gets me to the long list of factors that affect HRV (and PRV) besides the device, the type of measurement (RMSSD, SDNN or others), the person’s signal, the sensor site, the duration of data capture, if weighting by sleep stage is used, how artifact is processed and corrected. And this list is not complete!: Oura puts out data from their community of users (who input data) on what affects their overnight HRV. The factors currently provided are: no alcohol (increase 8%), melatonin (increase 2%, float tank (increase 2%), wine (decrease 4%), and party (decrease 14%) in overnight HRV. Must be some big parties! Subscribe What is a PRV measurement good for? It has been falsely characterized as an index of “autonomic balance” and a specific indicator of stress. A 2018 review of the studies available for HRV and its relationship to stress, not using any of the current wearables, found that stress can lower HRV. But so can many other factors. The non-specificity of the signal, indexed to the table above, is striking. Evidence from a UK Biobank study of over 46,000 participants with actual HRV looked at genetically predicted HRV, a genetic risk score, that failed to show the expected HRV-mortality link, indicating that _HRV is likely not causa_l, but rather a reflection of person’s physiologic state. A review of consumer wearable HRV data from 5 longitudinal studies showed that nighttime PRV was not associated with perceived stress, and surprisingly higher HRV, in the largest cohort (N=717 participants), was correlated with higher stress. An Oura ring cohort of 525 first-year college students found a link between overnight PRV and perceived stress, but that was also seen with resting heart rate, sleep, and respiratory rate. Several very small studies have examined the relationship of HRV and athletic injuries or guiding training with mixed, and predominantly negative results. HRV biofeedback training with paced breathing had no significant effect on reducing stress or raising HRV, as demonstrated with sham controlled trials. When HRV for multiple days showed a decline in conjunction with body temperature, the Oura ring published data for prediction of Covid. The WHOOP company sponsored an observational study, published in 2026, of 30,000 users for 72 weeks, without a control group, that reported reduced alcohol intake (5.8 % points) by self-report. That doesn’t tell us much, and particularly about the merits of HRV for behavioral change. If you use the same device and conditions as longitudinal trends for multiple (at least 2-3) weeks that may be the one way to get something useful from the measurements. Data for overnight sleep with minimal motion and using RMSSD is the best proxy for real HRV. The reason to look at trends rather than any given night is that it more likely represents something, even though you won’t know with certainty what the “it” is. Keep in mind there are no data, no peer-reviewed evidence, to show that HRV fluctuation in-person has any correlation with health outcomes. Share Readiness Scores These are proprietary scores that integrate different metrics for each of the wearables: no algorithms have been disclosed. They are unvalidated against health outcomes. In a review of 14 composite health scores of readiness and recovery, HRV contributed 86% to the scores, followed by reading heart rate (79%), physical activity and sleep duration (both at 71%). That review noted the substantial variability in measurement protools and lack of standardization. Sleep staging is notoriously inconsistent and inaccurate by these sensors, which adds further to the HRV uncertainties for what the scores, which use sleep stage data, mean. Only resting heart rate has been shown consistently across devices to be extremely accurate. I’ve made a Table to summarize what we know about which metrics are included, the scores, any peer-reviewed studies that compared the readiness score with health outcomes, and the corresponding (if any, NA-not available) citation. You will note that some companies do not use the term “readiness," such as WHOOP for recovery, and Garmin, which has 2 different scores, one of which is Body Battery. Eight Sleep uses the term “Fitness Score.” They all include HRV; Apple includes a new metric they call “Recovery HRV” which among other components uses 7-days of sleep, but it is unclear what this means or how it is differentiated from other scores (there are clearly no data for outcomes). We have no knowledge of how the different components are weighted or whether any of these scores are better than resting heart rate, HRV alone, physical activity, or any other single metric. Since none of these are standardized, they are not interchangeable, so if you get a 90 for Oura that has no relationship to a 90 on a Google Fitbit Air. Notably, the company can update its algorithm for readiness score at any point without notification to device users. Without any useful evidence of actionability for these scores or established relationship with health outcomes, it is hard to make a case for their value. At the Apple recent announcement they showed their Readiness score (0-10) on the watch (Figure below) but there are no published data on this score, not even on their website. It’s available only on their new Watch Series 12 or Ultra 4 [of course, ;-)]. That exemplifies the problems with these scores, lack of data and evidence for being meaningful to promote health. Perhaps the best study (which isn’t saying much) is the WHOOP Recovery for golfer performance, because it did correlate with an objective outcome, even though there was no control group and the authors were all from the company. Among the 389 pro golfers, an absolute 10-per cent point increase in Recovery score was associated with about 0.5 fewer strokes per round. But that’s hardly a health outcome! WHOOP is also conducting a study in over 2,700 runners to see if their recovery score will be linked to less injuries and improved performance, but that is not yet published and has no control group or randomization. Putting This in Context For two decades I’ve been enthusiastic about the potential for digital health and particularly wearable biosensors. Over the years, we’ve seen some great progress for their ability to promote physical activity and accurately detect atrial fibrillation (the first FDA cleared deep learning AI for consumers). That work was the subject of rigorous research. But there are holes in the data and evidence for other metrics. One notable one is the “VO2 max” story that I wrote about earlier this year. At that time many subscribers asked me to cover heart rate variability, which I finally got to here. When I dived into the research and publication for HRV and readiness scores, I expected to find at least some that were of high quality and demonstrated their utility by linkage to health outcomes. To my surprise, I found none. The wearable sensor measurements for HRV (PRV) are, for the most part, accurate, but that validation work has only been done in small studies of healthy adults and does not take into account the long list of factors, from the device, software side, and the user side, that affect HRV measurements. Moreover, this metric chiefly relies on optical sensing and, as we have learned for heart rate PPG sensing, may be less accurate in people of color. Keep in mind that all of the health outcome association evidence comes from ECG-derived HRV; none are from wearable sensor data. I will repeat the key point: there's no peer-reviewed evidence to show that in-person HRV fluctuation—or efforts to raise your HRV— has any correlation with health outcomes. For those of you who look at your HRV on awakening, or even 2+ week trends of it being low, I hope this context helps to relieve any anxiety. Yes, low HRV (not PRV) has been shown to increase risk of some diseases as summarized above. But efforts to raise your HRV—a surrogate metric— has not been established for improving any health outcomes. HRV does not have any evidence of causality (the genetic evidence actually goes against this possibility). In this summary, I have not included data for other wearable sensors such as Polar, Samsung, Withings, Suunto, Amazfit, Coros, Ultrahuman, or additional mattress sensors. These are beyond my first-hand experience, and as far as I know from my in-depth review none have any peer-reviewed published data that differ from the 6 sensors I’ve reviewed here. From the points I’ve gone over above, we’re not ready for readiness scores. Besides being proprietary, they are predominantly based on metrics that have their own issues. It’s compounding the problem, like building a house without a solid foundation that has never undergone a rigorous inspection, and then selling it. Like I mentioned for PRV, you can look at trends over weeks rather than any single day, to get a handle, but even that may not be helpful. There’s simply no evidence that these scores meaningfully relate to health outcomes. I’d emphasize they might, but that requires doing prospective or randomized studies to prove it. None exist. There’s great promise for HRV/PRV utility_. For example**,**_ Prof Maiken Nedergaard, who discovered the brain glymphatics that are essential in eliminating metabolic waste products from the brain during sleep, has posited that HRV could be a non-invasive marker for neuromodulator oscillations, brain-body regulatory circuits, and brain clearance. That would be extremely useful, but like everything else on HRV and readiness scores it requires solid research and validation. The lay media isn’t helping much to get the story straight. Earlier this year The Economist published a piece entitled “The most useful indicator of your overall health” which ordained HRV as an “accumulated stress score.” That’s akin to the false assertion about VO2max: “V02 max is the singular most powerful marker for longevity.” As I’ve summarized here, that is not established. The fact is that so many things can lower HRV, including physical exercise (especially an intense workout), reduced sleep quality, stress, the list above, no less the device, signal, and software. Whatever fluctuations observed have not been correlated with any health outcome. Sadly, “datamaxxers” are widely using HRV and readiness scores that have never been validated to mean anything. We already know that for some people using the sensors for sleep metrics, it can induce “orthosomnia,” an obsession to get high sleep quality, with associated high levels of anxiety. In an experiment done by a company to promote sleep quality for its employees, “For those employees who did use the trackers, many reported feeling perfectly rested until their tracker told them they had had a terrible night. Others were told that they had slept like a baby when they had actually been lying awake worrying about the quality of their sleep. “ The same problem can result from preoccupation with HRV or readiness scores, with anxiety that would lead to further reduction in both. It you are using a wearable like >100 million American adults, it’s OK to look at these data, but contextualized with the major caveats reviewed here. If you are one to require evidence that HRV or readiness scores are linked to health outcomes, you may not even want to look. The companies make it hard to turn them off! Let me end with the companies that make and sell wearables. Apple’s doubling down on HRV (24-fold more reporting and heart rate very 5 seconds) and introduction of a Readiness score tells us that consumers have bought into these metrics and they are joining the club. However, all of this is occurring with a backdrop of tens millions of users, claims about the data that are not backed up by adequate evidence, marketing way out in front of whatever limited data exists, and not being transparent about their readiness score algorithms. The companies can well afford to do the research that is needed to connect these metrics with health outcomes show, once and for all, that increasing HRV or using readiness scores promotes our health. If they believed and invested in the products they are selling, we’d not be in this position of not knowing. That’s essentially where we are with HRV and readiness scores. Perhaps someday this will change and we’ll have good reason to embrace them. NB: I wrote this post. No AI. I have no conflicts of interest with any of its content. Loading... Ground Truths has 215,000 subscribers from every US state and 214 countries. There are over 300,000 followers of Ground Truths so more than 90,000 folks who can easily convert to be free subscribers. Your subscription to these free essays and podcasts makes my work in putting them together worthwhile. If you’re not a subscriber, please join! If you found this interesting PLEASE share it! Share Ground Truths The proceeds from all voluntary paid subscriptions go to support our summer internship program. It enabled us to accept and support a record number of 62 summer interns that joined us in 2026! These are high school, college and medical students selected from thousands of applicants. We couldn’t do this expanded program without the funds coming in through Ground Truths. Thank you!
An emergent model of food and health
As more Islanders than ever seek food assistance, several local organizations have risen up to meet the demand in new ways. These emergent collaborative efforts have put the Vineyard on the map as a model for food systems that contribute to better health outcomes, according to experts in the field. The model is called “Food […]
Wilmington health tech founder launches new venture
Several years after launching his health tech startup Artemis Immersive, founder Adam Isley is setting his sights on new horizons. Co-founded in 2023 by husband-and-wife Adam Isley and Kaylan Barbrey, along with Matthew Raffa and Bill Blakesley, Artemis Immersive began as a spatial medtech company that created digital renderings of medical scans for viewing in augmented reality (AR). Isley said the firm, which won an NC Tech award in the Biotech + HealthTech Innovation category last year, has raised $1.2 million in total in seed funding since launching. Isley has since created a new venture, Research and Me, building on the Artemis platform. Like Artemis Immersive’s core software, VoxScan, Research and Me combines health data with artificial intelligence in a 3D interactive environment to help patients better understand health outcomes and provide integrative wellness support. While the Artemis product is no longer Isley’s primary focus, he said the company’s technology and ambitions have evolved into different ventures, like Research and Me. "It's a different venture building on the Artemis platform, and there'll probably be more,” Isley said. He added, "I was very disappointed in the quality of the information available to general patients about their healthcare... I wanted to give patients more and a better plate of choices." Research and Me is still in its beta phase, Isley said, with usability testing ongoing in partnership with the firm’s partner, Medicap Pharmacy and Wellness Center, owned by Barbrey. "As someone who's kind of dedicated their life to working in healthcare, I've tried to bring this spirit and passion to it,” he said, “and a lot of the resources that we'll be providing are free — like a base level of free care for any patients, or medical education if they've got specific conditions." Isley describes Research and Me as a “patient-first” platform designed to securely store and pseudonymize health data and use AI and medical literature to generate insights. The insights are presented in an interactive 3D environment for patients and providers to explore conditions, treatments and wellness plans together. "It's almost like a democratization of understanding medical information," Isley said. "We take a whole bunch of clinical data, we take a whole bunch of peer‑reviewed, published studies on PubMed, and we try to turn them into chunks of information that normal humans can understand." Like VoxScan, the Research and Me platform lets users interact with 3D anatomical models for visualization. The platform provides a space for tracking, notes and insights. The platform also supports video conferencing, Isley said, allowing providers or coaches to examine models and data together. "We wanted to create a safe environment where you can start to learn and experiment with new features about your health, using agents to do that,” Isley said. While Research and Me is in beta-phase testing with Medicap Pharmacy, Isley said he envisions the platform serving a wellness-oriented community, working with sports performance clinics and hormone optimization. Isley, who is working towards a wellness-coach board certification, also plans to offer functional wellness consults through the platform. Long‑term, Isley says he wants the platform to embody an “integrative health practitioner” approach, “connecting experts of different fields and specializations in a way that they can make a greater impact in people's lives.” “For people in the state of North Carolina, it's already a win,” Isley said of the Medicap rollout, noting that partner clinics get “immediate resources for learning about their health and wellness conditions… out of the box.” Isley plans to launch Research and Me’s provider portal in 2028 and begin pursuing integrations with larger systems, he said.
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How a Maxwell Professor Uses Radio Dramas to Improve Public Health Outcomes
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