The FDA isn’t issuing one-off wearable clearances any more - it’s building a regulatory architecture for continuous diagnostic surveillance. Cardiac, metabolic, neurodx, and RPM all moving in parallel. Medicine needs to catch up fast. #DigitalHealth #FDAclearance #ClinicalAI
Can a weight loss and diabetes drug treat long COVID? – San Diego Union-Tribune sandiegouniontribune.com/202…
Jay Pandit retweeted
Our @NatureMedicine paper on glucose spikes (CGM sensor) and their relationship with physical activity, gut microbiome, genomics, food intake, and sleep via multimodal A.I. Helps identify people with prediabetes who have high risk of progression (cf HbA1c)
nature.com/articles/s41591-0…
@GiorgioQuer @ScrippsRTI @scrippsresearch @segal_eran @JayPandit
Jay Pandit retweeted
SCALE-HF Study Results just published in most recent @JCardFail issue! Work led by my friends @FudimMarat and Adam DeVore at @DCRINews but involving multiple centers.
1/🧵
onlinejcf.com/article/S1071-…
Jay Pandit retweeted
The hospital-at-home movement is in its early days. Lots of potential using multimodal #AI remote monitoring and validation via randomized trials
washingtonpost.com/health/20… by @FenitN w/ @JayPandit
nature.com/articles/s41746-0…
Jay Pandit retweeted
This study from @ScrippsRTI examined wearable data like step count, resting heart rate, & sleep to track changes in people with + without #LongCovid over a year.
Those with Long #Covid_19 had significantly different resting heart rate & activity levels. They were also more likely to be women, younger, unvaccinated, & report more acute-phase symptoms.
nature.com/articles/s41746-0…
Jay Pandit retweeted
🎙️ Just listened to an enlightening podcast with @JayPandit on how biosensors are revolutionizing medicine! 🩺✨ Discover how these tiny devices are transforming diagnostics and patient care. #Biosensors #HealthcareInnovation
magazine.scripps.edu/podcast…
Jay Pandit retweeted
Now out in JACC Advances, our viewpoint on AI within HF and how the future may look with the help of multimodality large language models @JayPandit
www-sciencedirect-com.turing…
Acute care at home has all the ingredients to improve health care outcomes and costs and is the ideal place to test the impact of multimodal inpatient and outpatient health data streams. Let’s do the trials to show this!
nature.com/articles/s41746-0…
Jay Pandit retweeted
The hospital-at-home in the era of multimodal #AI
Our new review @Nature_NPJ of the prospects
by @JayPandit @ScrippsRTI @scrippsresearch and collaborators
nature.com/articles/s41746-0…
Jay Pandit retweeted
Preliminary work by @ScrippsRTI & @eMedCertified show unexpectedly high proportion of COVID-19 rebound cases in untreated people, and those treated with Paxlovid. @JayPandit & the team now hope to assess the role of variants and the immune system response scripps.edu/news-and-events/…
Jay Pandit retweeted
Just published
A prospective, systematic assessment of rebound after Paxlovid vs Covid untreated controls
academic.oup.com/cid/advance… @JayPandit @michaelmina_lab
Viral rebound
Paxlovid 14.2% | Controls 9.3%
Symptom rebound
Paxlovid 18.9% | Controls 7.0%
RIP Pele!! To the King, who made millions fall in love with Joga Bonito!! #Pele #JogaBonito
First report of our prospective paxlovid rebound study showing rebound of Covid sx more than previously reported, in both treated and untreated cohorts. More studies needed to understand this peculiar phenomenon, to clear myths causing underprescription.
Our prospective Paxlovid rebound study with controls preprint is posted
By symptoms: ~12% rebound (19% Pax vs 7% controls)
By positive testing: ~5% rebound (14% Pax vs 9% controls)
Much lower than many estimates
medrxiv.org/content/10.1101/… by @JayPandit @michaelmina_lab @ScrippsRTI
Heard this quote again today and had to share. “Science is not truth. Science is finding the truth. When science changes its opinion, it didn't lie to you. It learned more.” - Mohamed Safa. #science @scrippsresearch @ScrippsDTC
Digital health tools like smartphone apps and wearables are here to stay. We hope our work sheds light on the promises and challenges of their power to serve as supplementary population health tools. @ScrippsDTC @scrippsresearch @NUFeinbergMed
Just published @NatureBiotech
Our review of smartphone apps for Covid-19: outbreak epidemiology, individual screening, contact tracing and their future
by @JayPandit @jmradin @GiorgioQuer @ScrippsRTI @scrippsresearch
nature.com/articles/s41587-0…
Thank you for letting me continue to share my story.
“An individual has not started living until he/she can rise above the narrow confines of individualistic concerns to the broader concerns of all humanity” - MLK Jr
The Farewell ja.ma/3Hy6AGR via @JAMA_current
RIP Dr. Farmer. Thank you for constantly reminding us that we are part of the human tribe.
Excellent article and to the point! The time to be proactive was yesterday! Let’s do something about misinformation as it only amplifies distrust in a time we need it most. @EricTopol erictopol.substack.com/p/wha…
Jay Pandit retweeted
#Wearables provide a way to continuously track physiological & behavioral metrics before, through, & after having COVID. Do you qualify for a free wearable through the @detect_study? Learn more at detect.scripps.edu

























