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How AI Machine Learning Is Transforming Driving Decisions

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Scientific Research Publishing

Multimodal Digital Phenotyping for Bipolar Disorder: Robust Mood-State Classification and Early Relapse Risk Monitoring ()

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...
Medical Dialogues

Machine Learning Reliably Predicts Early Dysphagia After Stroke, suggests study

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
Security Info Watch

AI and Machine Learning in Security: Building Smarter, Integrated Systems for a Safer Future

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
IEEE

Spam No More: A Cross-Model Analysis of Machine Learning Techniques and Large Language Model Efficacies

Abstract: With the increasing sophistication of phishing scams, financial fraud, and malicious cyber-attacks, the need for effective spam detection mechanisms to safeguard users is more critical than ...
Analytics Insight

Data Science: Building Machine Learning Models, Harvard University

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...
Journal of Medical Internet Research

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...
The American Journal of Managed Care

New 9-Gene Classifier May More Accurately Predict Metastasis Across STS, Other Cancers

Producing the highest accuracy, the 9-gene set produced became the basis of the final classifier. When applied to multiple STS datasets, the model consistently separated patients into low-risk and ...
EurekAlert!

Computational breakthroughs poised to accelerate the fight against antimicrobial resistance

A comprehensive review in Current Molecular Pharmacology highlights how machine learning, molecular dynamics simulations, and hybrid AI-MD platforms are revolutionizing antimicrobial discovery. These ...
Frontiers

Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer

Background: Breast cancer (BC) ranks among the most prevalent malignant tumors in women globally, with mitochondrial dysfunction constituting one of its pathogenic mechanisms. Objectives: To ...