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A focused stream of research, industry developments and ideas selected for people building the future of health.

Yusuf Yeşil, MD, MIS
Curated by Yusuf Yeşil, MD, MIS Clinical Biochemist & Health AI
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LATEST SIGNALS

Research and developments, with a clear point of view.

Mount Sinai Introduces ChatGPT Edu for Medical Education

Mount Sinai Introduces ChatGPT Edu for Medical Education

Mount Sinai introduces ChatGPT Edu for medical education, enhancing AI skills for students and...

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Estimating oxygen uptake in simulated team sports using machine learning models and wearable sensor data: A pilot study.

Estimating oxygen uptake in simulated team sports using machine learning models and wearable sensor data: A pilot study.

Machine learning models accurately estimate VO2 in team sports using wearable sensors. Key findings:...

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Omada Health Submits IPO Filing with SEC

Omada Health Submits IPO Filing with SEC

Omada Health files for IPO with SEC, focusing on chronic care management. Revenue growth...

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Current updates in the epidemiology and comorbidities of atopic dermatitis.

Current updates in the epidemiology and comorbidities of atopic dermatitis.

Epidemiology of atopic dermatitis reveals 10-20% prevalence globally, with significant comorbidities like asthma and...

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AI’s Role in Addressing Radiology’s Data Challenges

AI’s Role in Addressing Radiology’s Data Challenges

AI aids in managing radiology's data challenges, addressing radiologist shortages and increasing imaging demands....

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Innovative, Technology-Driven, Digital Tools for Managing Pediatric Urinary Incontinence: Scoping Review.

Innovative, Technology-Driven, Digital Tools for Managing Pediatric Urinary Incontinence: Scoping Review.

Exploring digital tools for pediatric urinary incontinence: 66 studies reveal innovative solutions! 📊💡

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Weekly Health & AI Digest – May 12, 2025

Weekly Health & AI Digest – May 12, 2025

Here are the latest breakthroughs in health & AI (May 12, 2025 week) 🔹...

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AI Model Predicts Pediatric Brain Cancer Relapse with High Accuracy

AI Model Predicts Pediatric Brain Cancer Relapse with High Accuracy

AI predicts pediatric brain cancer relapse with 75-89% accuracy, improving care for children with...

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Decoding per- and polyfluoroalkyl substances (PFAS) in hepatocellular carcinoma: a multi-omics and computational toxicology approach.

Decoding per- and polyfluoroalkyl substances (PFAS) in hepatocellular carcinoma: a multi-omics and computational toxicology approach.

PFAS exposure linked to hepatocellular carcinoma: 6 key genes identified! 🧬🔬 Study reveals molecular...

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