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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
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LATEST SIGNALS

Research and developments, with a clear point of view.

Evaluating the performance of an artificial intelligence-based electronic reader for malaria rapid diagnostic tests across Benin, Côte d’Ivoire, Nigeria and Uganda.

Evaluating the performance of an artificial intelligence-based electronic reader for malaria rapid diagnostic tests across Benin, Côte d’Ivoire, Nigeria and Uganda.

AI in Malaria RDTs: 96.8% Accuracy Across 110,843 Tests in Africa! 🤖🌍

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Psicon and MHS Collaborate to Enhance ADHD Assessment Accessibility

Psicon and MHS Collaborate to Enhance ADHD Assessment Accessibility

Psicon and MHS collaborate to improve ADHD assessments, enhancing accessibility and efficiency for patients....

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Using Medical Named Entity Recognition in Automatic ICD Prediction.

Using Medical Named Entity Recognition in Automatic ICD Prediction.

Innovative algorithm achieves 90% precision in ICD code prediction using Medical NER and ClinicalBERT....

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AI Tool Enhances Visualization of Disease Mechanisms

AI Tool Enhances Visualization of Disease Mechanisms

AI tool ProRNA3D-single enhances visualization of disease mechanisms, aiding drug discovery for viruses and...

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Machine learning fibrosis score for pediatric metabolic dysfunction-associated steatotic liver disease: Promising but premature.

Machine learning fibrosis score for pediatric metabolic dysfunction-associated steatotic liver disease: Promising but premature.

Machine learning fibrosis score for pediatric MASLD shows promise (AUROC 0.92) but requires caution...

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AI-Enhanced CRISPR Technology Aims to Accelerate Gene Therapy Development

AI-Enhanced CRISPR Technology Aims to Accelerate Gene Therapy Development

AI-Enhanced CRISPR technology could speed up gene therapy development, making it accessible to more...

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Electrocardiogram heart rate variability for machine learning diagnosis of obstructive sleep Apnoea: A bayesian meta-analysis.

Electrocardiogram heart rate variability for machine learning diagnosis of obstructive sleep Apnoea: A bayesian meta-analysis.

Machine learning models using ECG-derived HRV show 79% sensitivity & 75% specificity for diagnosing...

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Scotland’s MyCare App Set for Nationwide Launch in April 2026

Scotland’s MyCare App Set for Nationwide Launch in April 2026

Scotland's MyCare App will launch nationwide in April 2026, improving healthcare access and management...

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Introduction to the Special Issue: Integration of Technologies into Cognitive Behavioral Therapies for Fear-Based Conditions.

Introduction to the Special Issue: Integration of Technologies into Cognitive Behavioral Therapies for Fear-Based Conditions.

Exploring tech's role in CBT for fear-based disorders: digital tools enhance access and treatment...

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