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Signals shaping
health AI.

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
Clinical AI Large Language Models Digital Health Computer Vision Health Economics AI Ethics
LATEST SIGNALS

Research and developments, with a clear point of view.

Intelligent Sensing: The Emerging Integration of Machine Learning and Soft Sensors Based on Hydrogels and Ionogels.

Intelligent Sensing: The Emerging Integration of Machine Learning and Soft Sensors Based on Hydrogels and Ionogels.

Exploring intelligent sensing: Machine learning meets hydrogels & ionogels for health monitoring and beyond!...

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Evaluating the Performance of ChatGPT-4V in Detecting Inflammatory Magnetic Resonance Imaging Findings of Sacroiliitis: Potentials, Challenges, and Limitations.

Evaluating the Performance of ChatGPT-4V in Detecting Inflammatory Magnetic Resonance Imaging Findings of Sacroiliitis: Potentials, Challenges, and Limitations.

AI in MRI: ChatGPT-4V shows 95.5% sensitivity for bone marrow edema in sacroiliitis detection....

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Anaerobic microbial degradation of persistent organic pollutants in aquatic sediments: implications of climate change.

Anaerobic microbial degradation of persistent organic pollutants in aquatic sediments: implications of climate change.

Anaerobic microbes can boost POP degradation by 50% under moderate warming, aiding climate change...

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Artificial Intelligence in Supportive Oncology and Symptom Management Opportunities.

Artificial Intelligence in Supportive Oncology and Symptom Management Opportunities.

AI in Oncology: Enhancing Symptom Management & Patient Care 🤖💊

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The ADVANCE toolkit: Automated descriptive video annotation in naturalistic child environments.

The ADVANCE toolkit: Automated descriptive video annotation in naturalistic child environments.

Revolutionizing video analysis in child behavior studies with ADVANCE toolkit: 2-5 individuals tracked accurately!...

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SHAP-based interpretable machine learning for injury risk prediction in university football players: a multi-dimensional data analysis approach.

SHAP-based interpretable machine learning for injury risk prediction in university football players: a multi-dimensional data analysis approach.

SHAP analysis reveals key injury risk factors in university football players: stress, sleep, and...

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Preparing for the Next Influenza Pandemic: Vaccine Progress, Challenges, and Prospects.

Preparing for the Next Influenza Pandemic: Vaccine Progress, Challenges, and Prospects.

Influenza pandemic preparedness hinges on effective vaccines amid rapid mutations and emerging strains. Key...

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Deep learning with refined single candidate optimizer for early polyp detection.

Deep learning with refined single candidate optimizer for early polyp detection.

Revolutionary deep learning model enhances early polyp detection in colonoscopy, improving accuracy and precision...

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Machine learning models incorporating genotype and ancestry improve severe asthma risk prediction.

Machine learning models incorporating genotype and ancestry improve severe asthma risk prediction.

Machine learning enhances severe asthma risk prediction by integrating genotype and ancestry data. AUC...

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