Pleased to announce publication of our paper on integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trial - The Lancet Digital Health thelancet.com/journals/landi…

Gavin Young has published some of his dissertation work in AJPEndo, Quantifying Insulin-Mediated and Non-Insulin-Mediated Changes in Glucose Dynamics during Resistance Exercise in T1D. New data to see impact of resistance vs aerobic exercise on metabolism journals.physiology.org/doi/abs/10.115…

New article published on Nature npj Digital Medicine where we used physiologic data collected from a smart ring (heart rate, sleep data, temperature, etc) combined with #MachineLearning to forecast if a pregnancy will go past term. nature.com/articles/s4174…

Exciting paper published by @Sci_Tai, Clara Mosquera-Lopez et al on using #smarthome and mobility metrics from #wearablesensors to predict #fallrisk in homes and in time preceding a #fall in people with #MultipleSclerosis. Turns out movement complexity matters. msard-journal.com/article/S2211-…

Our new paper on uncertainty-aware prediction and prevention of nocturnal hypoglycemia in T1D is out. This work includes analysis on how physical activity is associated with nocturnal hypoglycemia risk. Check it out! academic.oup.com/jamia/advance-…

This Saturday morning at the virtual Diabetes Technology meeting at 9:55 AM PST, I will share some new consensus guidelines on using #MachineLearning in #diabetes. Guidelines published soon in #ieee reviews in #Biomedical #engineering. Hope you can make it! diabetestechnology.org/dtm/agenda.sht…

Announcing guidelines on best practices & pitfalls in #MachineLearning in #diabetes. Available in IEEE Engineering Medicine and Biology Society Reviews in Biomed Engr. Honored to work with esteemed coauthors to establish consensus on guidelines. Great for students/postdocs/data scientists ieeexplore.ieee.org/document/10313…

Gavin Young et al show in new article in jdst in Diabetes Technology how #DigitalTwins can be used in a #decisionsupportsystem to improve glucose outcomes during and following exercise in type 1 #diabetes journals.sagepub.com/doi/abs/10.117…

Digital twins are an exciting technology that could significantly improve personalized care in #diabetes and other aspects of health care. Clara Mosquera-Lopez and I have a new review article out this month on the topic at cell press, Trends in Endocrinology & Metabolism. doi.org/10.1016/j.tem.…

Excited to give a talk today at 2:20 PM EST at the ADA conference in Orlando titled 'Artificial Intelligence and the future of diabetes devices' in the livestream symposium on 'How will AI change diabetes practice'. Hope to see you there, W320 Chapin theater, 2-3:30 pm

I'm excited to give the opening talk today on AI and the future of diabetes devices for the Agora diabetes technology 2024 in Parador de Segovia. paradores.es/es/parador-de-…

Position statement guidelines are important for improving patient care. I hope that in the future, data from the real world can inform position statements. This paper by Michael Riddell, PhD and colleagues shows how to do it for #diabetes and #exercise guidelines diabetesresearchclinicalpractice.com/article/S0168-…

New #cgm error grid published that uses trend to quantify risk of inaccurate measurements. journals.sagepub.com/doi/10.1177/19…

Looking forward to the first in person Diabetes Technology Meeting #DTM in a while. I will give a workshop on incorporating #pramlintide into AI-informed automated insulin delivery (AID), and a talk on #AID and #exercise. Hope to see you next week! diabetestechnology.org/dtm/agenda.sht…

Really enjoyed seeing some old #dexcom friends from the early start-up days at the #DTM2024 meeting including Mark Tapsak and Paul Goode, now working on the startup #glucotrack that is making a 3 year fully implantable #cgm in subclavian. Impressive new data presented today.

Great presentation today from #Dexcom and old colleague Jessica Castle at #dtm2024 showing that #cgm data is now integrated into #epic #EHR records. Congrats, huge win for #diabetes care, #endocrinologists, and so useful for data aggregation multmodal #MachineLearning

Excited to present compelling results next week in Amsterdam at attd.kenes.com. Talk at Thursday #AI session 16:40 will show how combining AI meal detection with pramlintide and insulin delivery can lead to remarkable improvements in time in range after meals in #t1d

Excited for Clara Mosquera-Lopez to present her talk on Using Exercise Data in Combination with AI to Help Prevent Nocturnal Hypoglycemia at the 9:30 session at #attd2025 attd.kenes.com in Amsterdam. Hope to see you there!