yesilscience - Yesil Science

A time-efficient continuous ramp protocol for data-driven walking energy expenditure estimation across multiple speeds.

A time-efficient continuous ramp protocol for data-driven walking energy expenditure estimation across multiple speeds.

Efficient walking energy expenditure estimation via continuous ramp protocol shows 10.7% error, outperforming traditional methods. 🚶‍♂️📊

October 3, 2025

Cultural opportunities involving spiritual, existential, religious, or theological (SERT) themes: Three practical approaches.

⚖️ AI Ethics 🧠 Mental Health 🧑‍🏫 Health Education

Cultural opportunities involving spiritual, existential, religious, or theological (SERT) themes: Three practical approaches.

Enhancing spiritual competencies in therapy: 3 practical approaches for clinicians. 📚✨

October 2, 2025

AI Identifies Subtle Signs of Depression in Student Facial Expressions

🤖 Machine Learning 🧠 Mental Health 📰 News

AI Identifies Subtle Signs of Depression in Student Facial Expressions

AI detects subtle facial signs of depression in students, aiding early intervention and mental health monitoring. 🤖😟

October 2, 2025

Advances in IoT networks using privacy-preserving techniques with optimized multi-head self-attention model for intelligent threat detection based on plant rhizome growth optimization.

💵 Health Economics 🤖 Internet of Things (IoT)🤖 Machine Learning

Advances in IoT networks using privacy-preserving techniques with optimized multi-head self-attention model for intelligent threat detection based on plant rhizome growth optimization.

Innovative IoT security: 99.11% accuracy in threat detection using optimized multi-head self-attention model! 🔒📊

October 2, 2025

West Yorkshire Launches Pilot for Digital Twin Technology in Kidney Disease Management

🧠 Digital Therapeutics 🏥 General Practice 🤖 Internet of Things (IoT)📰 News 🌍 Public Health

West Yorkshire Launches Pilot for Digital Twin Technology in Kidney Disease Management

West Yorkshire pilots digital twin technology for chronic kidney disease management, aiming to enhance patient care and reduce NHS pressures. 🏥💻

October 2, 2025

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

🖼️ Computer Vision 🤖 Machine Learning 🌍 Public Health

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! 🤖🌍

October 2, 2025

Psicon and MHS Collaborate to Enhance ADHD Assessment Accessibility

🎓 Digital Health Education 💼 Health Entrepreneurship 🧠 Mental Health 📰 News

Psicon and MHS Collaborate to Enhance ADHD Assessment Accessibility

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

October 1, 2025

Using Medical Named Entity Recognition in Automatic ICD Prediction.

🏥 General Practice 🧠 LLM's 🤖 Machine Learning

Using Medical Named Entity Recognition in Automatic ICD Prediction.

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

October 1, 2025

AI Tool Enhances Visualization of Disease Mechanisms

🧪 Drug Discovery 🧠 LLM's 🤖 Machine Learning 📰 News 🌍 Public Health

AI Tool Enhances Visualization of Disease Mechanisms

AI tool ProRNA3D-single enhances visualization of disease mechanisms, aiding drug discovery for viruses and Alzheimer’s. 🧬💡

October 1, 2025

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

🧠 Digital Therapeutics 🦠 Epidemiology 💵 Health Economics 🤖 Machine Learning

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 and further validation. 📊🩺

October 1, 2025

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Author: yesilscience

A time-efficient continuous ramp protocol for data-driven walking energy expenditure estimation across multiple speeds.

Cultural opportunities involving spiritual, existential, religious, or theological (SERT) themes: Three practical approaches.

AI Identifies Subtle Signs of Depression in Student Facial Expressions

Advances in IoT networks using privacy-preserving techniques with optimized multi-head self-attention model for intelligent threat detection based on plant rhizome growth optimization.

West Yorkshire Launches Pilot for Digital Twin Technology in Kidney Disease Management

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

Psicon and MHS Collaborate to Enhance ADHD Assessment Accessibility

Using Medical Named Entity Recognition in Automatic ICD Prediction.

AI Tool Enhances Visualization of Disease Mechanisms

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

AI Analysis of Body Composition Predicts Cardiometabolic Risks

Acoustic signatures of organic lesions and the role of artificial intelligence in voice disorder diagnostics.

DCFFNet: A New Dual-channel Cross-Feature Fusion Net for Evaluating the Degree of Aortic Valve Calcification Based on Echocardiographic Images.

Use of artificial intelligence tools by audiologists and speech-language therapists: an international survey of academicians.

A Window Into Vulnerability and Support: At-Risk Mothers’ Perinatal Experiences and Perspectives on mHealth-Based Care.

Weekly Health & AI Digest – October 20, 2025

Shaping the Clinician II: Artificial Intelligence-Taught Endodontic Skills.

Prediction of suicidal ideation and depression in the general population with subthreshold insomnia using machine learning models.

Artificial intelligence in myeloid malignancies: Clinical applications of machine learning in myelodysplastic syndromes and acute myeloid Leukemia.

AI Model Suggests 40% of Breast Cancer Patients May Skip Axillary Surgery