Ayya Keshet

94 posts

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Ayya Keshet

Ayya Keshet

@AyyaKeshet

Data Scientist | Researcher | PhD in Computational Biology | Machine Learning in Healthcare

Rockville, MD Katılım Mayıs 2019
110 Takip Edilen131 Takipçiler
Ayya Keshet
Ayya Keshet@AyyaKeshet·
As I turn the page, I’m looking forward to new challenges, continued learning, and contributing to meaningful work at the intersection of data science, machine learning, and health. (And yes, I finally updated my bio 😅) 3/3
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Ayya Keshet
Ayya Keshet@AyyaKeshet·
These years shaped how I think, challenged me in the best ways, and gave me the chance to work with brilliant and generous colleagues on questions I care deeply about. 2/3
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Ayya Keshet
Ayya Keshet@AyyaKeshet·
After several intense, rewarding, and truly incredible years, I’m excited to share that I’ve officially completed my PhD at the Weizmann Institute of Science. 🎓 1/3
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Ayya Keshet
Ayya Keshet@AyyaKeshet·
Special thanks to Francisco Gude Sampedro and Fernando Gómez Peralta for organizing this meeting and heartfelt gratitude to @MarcosMatabuena for the invitation. 4/4
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Ayya Keshet
Ayya Keshet@AyyaKeshet·
The openness of clinicians to AI advancements and the eagerness of statisticians and data scientists to see their work applied in clinical settings truly stood out. 3/4
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Ayya Keshet
Ayya Keshet@AyyaKeshet·
This past weekend, I had the privilege of presenting my PhD research on Continuous Glucose Monitoring (CGM) and its potential to enhance our understanding of metabolic health and clinical diagnostics at the Diabetes Statistics and Clinical Meeting (DISC). 1/4
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Ayya Keshet
Ayya Keshet@AyyaKeshet·
🙏 Huge thanks to my PI, @segal_eran , and all the Segal Lab members. This work couldn't have been done without your support and expertise. We hope this research paves the way for groundbreaking discoveries in using the microbiome to improve metabolic health.
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Ayya Keshet
Ayya Keshet@AyyaKeshet·
🔎 Multiple sensitivity analyses were conducted. Adjusting for dietary habits via real-time food logging showed minimal impact on our core results. BMI associations also replicated in an independent cohort, highlighting their generalizability. 4/5
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Ayya Keshet
Ayya Keshet@AyyaKeshet·
🎉 Thrilled to share that my latest paper (w/ @segal_eran) on the gut microbiome's role in host metabolic health has just been published in @NatureComms! Dive into our insights📄✨ #article-info" target="_blank" rel="nofollow noopener">nature.com/articles/s4146… 1/5
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Satchin Panda
Satchin Panda@SatchinPanda·
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…
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Ayya Keshet
Ayya Keshet@AyyaKeshet·
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
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Eran Segal
Eran Segal@segal_eran·
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 FG based on the first FG measurement, 40% and 3% would have been reclassified as having glucose in the prediabetes and diabetes ranges, respectively, based on sequential measurements throughout the study. We thus propose that continuous glucose monitoring should be used to classify people's glycemic status We further find that FG levels rise 0.23 mg/dl per year with age, and reveal other associations of FG levels and clinical measures Our analyses are based on data from the Human Phenotype Project (HPP), which researchers can access here: tinyurl.com/4y5x47f7 Great work led by @AyyaKeshet @smadarshilo @H_Rossman @nastya_godneva
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Ayya Keshet
Ayya Keshet@AyyaKeshet·
This underscores the potential of continuous glucose monitoring to enhance diabetes diagnosis in clinical settings. And I'm genuinely looking forward to seeing how CGM will impact clinical settings in the future. 3/4
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Ayya Keshet
Ayya Keshet@AyyaKeshet·
Excited to see our latest paper published in @NatureMedicine! nature.com/articles/s4159… We investigated glucose levels in a large cohort of more than 8,000 individuals, highlighting significant fluctuations in morning fasting glucose. 1/4
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