Ayya Keshet
@AyyaKeshet
Data Scientist | Researcher | PhD in Computational Biology | Machine Learning in Healthcare
Perfect timing as I approach the end of my PhD — thrilled to share our latest paper exploring the effect of antibiotic treatment on microbiome development in premature infants, which I had the pleasure of leading together with the brilliant @smadarshilo 🩺
Development of antibiotic resistome in premature infants dlvr.it/TK1zLN
Analyses of Continuous Glucose Monitor data from 8000+ "healthy adults" offers many insights. ~40% who had a morning fasting glucose in "normal range" turned out to be prediabetic and 3% were diabetic. Wearing a CGM once a year is worth it. nature.com/articles/s4159…
I had the opportunity to present my PhD research today at @CHILconference. Grateful for the chance to share insights and connect with researchers at the intersection of Health and Machine Learning. And thanks to the organizers for an inspiring conference! #CHIL2024
The variability in fasting glucose measurements in non diabetic adults further highlighted here using CGM data @NatureMedicine @segal_eran @WeizmannScience #diabetes nature.com/articles/s4159…
So thrilled to see this out!
Analysis of continuous #GlucoseMonitoring measurements from nondiabetic individuals uncovered inter- & intraindividual variabilities, w/ implications for diagnostic cutoffs for #Diabetes diagnosis & several cardiometabolic clinical measures. @segal_eran nature.com/articles/s4159…
Our new paper @NatureMedicine is out: tinyurl.com/4ckhwcc9 We measured glucose levels continuously in 8,315 people and show high intrapersonal variability in morning fasting glucose (FG) levels We find that for 5,328 individuals who would have been considered to have normal…