PHE - Resources

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Mike Kurisu: This is an online symposia from my alma mater medical school. I was one of original founders a long time ago. I am not speaking this year but know all the speakers. I have registered and will get access to recordings and have Dennis post them all for you to view at your leisure.

Recommended by Sharon Wampler This is my good friend Beth Baber's company. Maybe potential synergy with PHE/Apollo http://www.tigohealth.com/ Tyler - you may know Beth, she started TNCI (The Nicolas Conner Institute). She was a cancer researcher at TSRI and her husband is faculty there

Mike Kurisu: "a good overview of the science as we know it now..."

"The company, which received about $30 million from the National Institutes of Health to ramp up production capacity, will be able to produce about 100,000 tests a day by January, Parsons says. By March, production should increase to about 250,000 tests a day. By June, productions should hit 1 million a day."

"Abstract Elevated core temperature constitutes an important biomarker for COVID-19 infection; however, no standards currently exist to monitor fever using wearable peripheral temperature sensors. Evidence that sensors could be used to develop fever monitoring capabilities would enable large-scale health-monitoring research and provide high-temporal resolution data on fever responses across heterogeneous populations. We launched the TemPredict study in March of 2020 to capture continuous physiological data, including peripheral temperature, from a commercially available wearable device during the novel coronavirus pandemic. We coupled these data with symptom reports and COVID-19 diagnosis data. Here we report findings from the first 50 subjects who reported COVID-19 infections. These cases provide the first evidence that illness-associated elevations in peripheral temperature are observable using wearable devices and correlate with self-reported fever. Our analyses support the hypothesis that wearable sensors can detect illnesses in the absence of symptom recognition. Finally, these data support the hypothesis that prediction of illness onset is possible using continuously generated physiological data collected by wearable sensors. Our findings should encourage further research into the role of wearable sensors in public health efforts aimed at illness detection, and underscore the importance of integrating temperature sensors into commercially available wearables."

"Although each effort is being conducted separately, all of the studies center around a common principle that by establishing a baseline set of biometrics for every study participant - including temperature, heart rate, and activity and sleep levels - researchers can detect deviations that are suggestive of illness." "Forget precision medicine. This is precision health," said Michael Snyder, Stanford University School of Medicine genetics department chair and director of genomics and personalized medicine.

"On the fourth episode of "Caring for Tomorrow," a podcast from Cleveland Clinic and The Washington Post BrandStudio about the future of health care, host Joan Lunden, a journalist, author and wellness advocate, moderates a discussion about the increasing prevalence of immersive technologies in medical training."

Our 2020 virtual Reimagine event highlighted ISB's cutting-edge brain health research and our unique approach to studying and treating Alzheimer's and other diseases. Specifically, we featured some of our latest findings, the promise of multimodal therapies to slow and even reverse dementia, and testimony from caregivers who watched their loved ones succumb to Alzheimer's disease.

"Using an analysis from the University of Minnesota's COVID-19 Hospitalization Tracking Project, NPR has created a tool that allows you to see how your local hospital and your county overall are faring."

"New findings from a study of thousands of healthcare workers in England show that those who got COVID-19 and produced antibodies against the virus are highly unlikely to become infected again, at least over the several months that the study was conducted. In the rare instances in which someone with acquired immunity for SARS-CoV-2 subsequently tested positive for the virus within a six month period, they never showed any signs of being ill."

"A growing group of lawyers are uncovering, navigating, and fighting the automated systems that deny the poor housing, jobs, and basic services."

"Applying the principles of human-centered design to real-world health care challenges, from drug packaging to early detection of breast cancer."

"Abstract Traditional screening for COVID-19 typically includes survey questions about symptoms and travel history, as well as temperature measurements. Here, we explore whether personal sensor data collected over time may help identify subtle changes indicating an infection, such as in patients with COVID-19. We have developed a smartphone app that collects smartwatch and activity tracker data, as well as self-reported symptoms and diagnostic testing results, from individuals in the United States, and have assessed whether symptom and sensor data can differentiate COVID-19 positive versus negative cases in symptomatic individuals. We enrolled 30,529 participants between 25 March and 7 June 2020, of whom 3,811 reported symptoms. Of these symptomatic individuals, 54 reported testing positive and 279 negative for COVID-19. We found that a combination of symptom and sensor data resulted in an area under the curve (AUC) of 0.80 (interquartile range (IQR): 0.73-0.86) for discriminating between symptomatic individuals who were positive or negative for COVID-19, a performance that is significantly better (P 

Tyler Orion: Just a reminder, there are spots available for more participants in Reyna and Dani's upcoming Qi retreats - "Returning Home. The Journey of YiYuanTi." You can register for a single session, a full day or a 3-day virtual retreat. If you need a good way to shake off the stress of the past few months, this might be a great way to find some healing and joy.

Abstract: Protocol design complexity, and associated study volunteer burden, negatively impact patient recruitment and retention as well as overall research and development productivity. Complex protocols reduce the willingness of potential clinical trial participants to enroll and reduce retention rates. There have been few systematic assessments of protocol design characteristics to determine the burden placed on study volunteers, although such an assessment would offer a compelling opportunity to optimize trial designs and improve recruitment and retention performance. To be useful, an assessment would need to be patient-centric, and focused on the factors that influence participation throughout the clinical trial. Such an assessment would also need to accommodate the unique cost-value trade-off compared with current treatment patterns that each participant makes when choosing to participate and remain in a clinical trial. This article proposes a new methodology to quantify patient burden: the clinical trial patient friction coefficient (PFC). A case example is provided to illustrate the utility of the PFC. A number of applications for the PFC are envisioned: standardizing patient burden assessment to evaluate clinical trial design feasibility, shedding light on the impact of patient burden on clinical trial economics and performance, and conducting sensitivity analyses to identify factors that most reduce patient burden and improve the performance and efficiency of clinical trials. Key words

Scientists like their insights captured via validated instruments that organize data into quantifiable outputs that can be measured and managed. Patients want to tell stories, share anecdotes, and talk about the qualitative factors that affect their quality of life. These disparate communication preferences have made it difficult for the two groups to engage, or for scientists to translate those qualitative stories into systematic assessments that quantify the burden placed on study volunteers.

The COVID-19 pandemic makes it necessary for leading experts from across disciplines and geographies to come together to jointly address the challenges we are facing when coping with the disruptive nature of the coronavirus SARS-CoV-2 pandemic is having on our healthcare system and our society as a whole. The tasks upon us are enormous and include besides decoding the virus and scaling diagnostics, tackling COVID-19 within existing healthcare systems, building health data platforms that support COVID-19 focused health care, accommodating clinical trials in the era of COVID-19, and developing functional vaccines and therapeutics. The next PMWC 2021 on January 25-27 would be a virtual conference and will touch upon these critical developments and ongoing activities while also including the regulatory and investment sides that influence clinical advancements.