Chocoana! Mostly a follower in this network; however, sometimes I get things to say. Opinions are my own and do not represent the entities I am affiliated with.
Joined May 2011
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Our article reporting results of a external validation of an AI-enabled digital ausculation system in detecting murmurs associated with valvular heart disease is now published. We found highly variable sensitivity across valvular heart disease types. authors.elsevier.com/c/1j~by…
Clara Mosquera-Lopez retweeted
Digital twins are an exciting technology that could significantly improve personalized care in #diabetes and other aspects of health care. @ClaraMosq and I have a new review article out this month on the topic at cell press, @Trends_Endo_Met.
doi.org/10.1016/j.tem.2024.0…
Clara Mosquera-Lopez retweeted
“Nobody works harder than a person who doesn’t like asking people for anything.”
Our new review/opinion paper on digital twins and artificial intelligence in metabolic disease research has been published online. This is an exciting approach with great potential in personalized medicine.
cell.com/trends/endocrinolog…
Clara Mosquera-Lopez retweeted
Tweeting your research paper boosts engagement but not citations nature.com/articles/d41586-0…
Clara Mosquera-Lopez retweeted
Announcing guidelines on best practices & pitfalls in #MachineLearning in #diabetes. Available in @IEEEembs 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…
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/advan…
Clara Mosquera-Lopez retweeted
Great paper @ClaraMosq and @petergjacobs1 team: Combining uncertainty-aware predictive modeling and a bedtime Smart Snack intervention to prevent nocturnal hypoglycemia in people with type 1 diabetes on multiple daily injections academic.oup.com/jamia/artic… – at Toronto, Ontario
Clara Mosquera-Lopez retweeted
Exciting paper published by @Sci_Tai, @ClaraMosq 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/S2…
Clara Mosquera-Lopez retweeted
¿Sabe de la Beca Crédito Condonable Hipólita para población NARP? (Negros, Afrocolombianos, Raizales, y Palenqueros) de @ICETEX portal.icetex.gov.co/Portal/… Abro hilo
New article by @petergjacobs1 in the Lancet Digital Health on integrating wearables into AID systems for improving glucose management around physical activity in T1D. Very proud of being part of the team! thelancet.com/journals/landi…
Clara Mosquera-Lopez retweeted
PhD students, don't worry. Technologies, trends, and even whole fields come and go. A PhD makes you an expert in a field but, more importantly, teaches you how to become an expert. Once you know that you can learn anything, you can adapt to major disruptions in your field.
Clara Mosquera-Lopez retweeted
New article published today by @ClaraMosq on new #MachineLearning #algorithm to automatically detect meals and estimate size of meal for use within fully automated insulin delivery for people with #T1D
nature.com/articles/s41746-0…
Clara Mosquera-Lopez retweeted
New article! Read Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence dlvr.it/SkpHTc in npj Digital Med
Our new paper on automated meal detection in closed-loop systems!
A #machinelearning model for meal detection & carbohydrate content estimation can be integrated into automated insulin delivery systems to improve postprandial glucose control by significantly reducing time above target range.
nature.com/articles/s41746-0…
Clara Mosquera-Lopez retweeted
The AIMs lab is again offering a paid #internship for summer 2023, specifically for underrepresented minority students. The Bias Equity and Inclusion in Artificial Intelligence In Medical Systems (BeInAIMS) internship is 8 weeks in Portland Oregon at OHSU. Reach out if interested
Clara Mosquera-Lopez retweeted
Paper published today on our many years of work collecting large public data set
Examining the Acute Glycemic Effects of Different Types of Structured Exercise Sessions in Type 1 Diabetes in a Real-World Setting: The Type 1 Diabetes and Exercise Initiative diabetesjournals.org/care/ar…
Clara Mosquera-Lopez retweeted
This study was a massive “lift” for everyone involved. Over 7,000 #exercise events with #CGM diabetes-related data and continuous activity monitoring. We hope others use this data gift from @HelmsleyTrust to answer more questions
Adults with type 1 #diabetes experienced the largest drop in glucose level with aerobic #exercise followed by interval and resistance exercise, regardless of #insulin delivery modality. A real world study #T1D @MCRiddell1 @DiabetesCareADA diabetesjournals.org/care/ar…
Clara Mosquera-Lopez retweeted
Published today @DiabetesCareADA is the #T1DEXI cohort study. Thanks to all the #T1DEXI participants who have taught us all so much about #realword #exercise and #T1D. Thanks also to @HelmsleyTrust for supporting us and to JAEB for running it!
doi.org/10.2337/dc22-1721
Clara Mosquera-Lopez retweeted
I am grateful for the generous support of @HelmsleyTrust for new funding to combine AI-based decision support app with behavioral health coaching to improve glucose outcomes in people with #type1diabetes on injection therapy. news.ohsu.edu/2023/01/10/art…