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

Research and developments, with a clear point of view.

On the relationships between apathy, depression and anhedonia.

On the relationships between apathy, depression and anhedonia.

Exploring Apathy, Depression, and Anhedonia: Key Findings from a Comprehensive Study 🧠📊

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Emerging perspectives in cardiovascular medicine.

Emerging perspectives in cardiovascular medicine.

Emerging trends in cardiovascular care: AI diagnostics, risk stratification, and rare cardiomyopathies. 📈❤️

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Evaluating EPR Usability Data and Its Impact on NHS

Evaluating EPR Usability Data and Its Impact on NHS

Evaluating EPR usability data may significantly influence NHS efficiency and patient care. Insights from...

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Explainable machine learning for long-term cardiovascular disease risk prediction in Chinese middle-aged and older adults: a 9-year longitudinal cohort study with web-based risk calculator.

Explainable machine learning for long-term cardiovascular disease risk prediction in Chinese middle-aged and older adults: a 9-year longitudinal cohort study with web-based risk calculator.

Machine learning predicts cardiovascular risk in Chinese adults: 22% incidence, AUC 0.829, waist circumference...

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Antimicrobial discovery from underexplored environments: unlocking specialized metabolism.

Antimicrobial discovery from underexplored environments: unlocking specialized metabolism.

Exploring new antibiotic sources: AI, multi-omics, and ecology combat AMR crisis. 🦠🔬📈

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Mandatory Professional Registration for Digital Health Staff in NHS

Mandatory Professional Registration for Digital Health Staff in NHS

NHS England mandates digital health staff to register with professional bodies. This aims to...

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SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification.

SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification.

SGA-DT framework enhances healthcare predictions by addressing missing data with adaptive strategies. 📊🤖 Robust,...

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FDP Benefits Limited by Central Clarity Issues

FDP Benefits Limited by Central Clarity Issues

FDP benefits are hindered by unclear guidance from central authorities, impacting digital health advancements....

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Radiomics and artificial intelligence-based prediction of tumor response in digestive system neoplasm: a systematic review and meta-analysis.

Radiomics and artificial intelligence-based prediction of tumor response in digestive system neoplasm: a systematic review and meta-analysis.

Radiomics & AI enhance tumor response prediction in GI neoplasms. Key findings: ORs range...

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