PHE - Resources

Recommended by Tyler Orion: "Lipid nanoparticles are essential to the Moderna and Pfizer/BioNTech vaccines - and we're staring down a shortage. By Rebecca Heilweil Mar 3, 2021, 11:30am EST"

"Realizing the promise of AI for people with chronic conditions requires rebuilding our health information system so that patients own their own data."

If you're part of an institution that has access, Embase is useful. It's crazy cost-prohibitive for individuals who aren't, and Elsevier is infamous for their huge-profit model, now with increasingly strong and widespread pushback (incl the entire UC system). So maybe aversive on principle. But good to know about.

PDQ @NCI is #1 for cancer, and has a page just for Integr Med

"About this Research Topic Healthcare narratives (such as clinical notes, discharge letters, nurse handover notes, imaging reports, patients posts on social media or feedback comments, etc.) have been used as a key communication stream that contains the majority of actionable and contextualised data, but which - despite being increasingly available in a digital form - is still not routinely analysed, and is rarely integrated with other healthcare data on a large-scale. There are many barriers and challenges in processing healthcare free text, including, for example, the variability and implicit nature of language expressions, and difficulties in sharing training and evaluation data. On the other hand, recent years have witnessed increasing needs and opportunities to process free text, with a number of success stories that have demonstrated the feasibility of using advanced Natural Language Processing to unlock evidence contained in free text to support clinical care, patient self-management, epidemiological research and audit."

Recommended by Tyler Orion: Christina Kantzevekos

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."