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 ...

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Overview AI enhances farm productivity by detecting crop diseases early and optimizing resource usage efficiently.Livestock ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

Study: Microbiome and metabolome integrated analysis: exploring potential diagnostic approaches for Parkinson’s disease using tongue coating samples. Image credit ...

Researchers and physicians alike are interested in identifying biomarkers from minimally invasive samples like blood to aid in disease detection and monitoring. However, so far, most targets observed ...

CRISPR technology has revolutionized genetic testing and disease detection, offering precise, rapid, and cost-effective diagnostic solutions. This gene-editing tool has been adapted for molecular ...

Dar es Salaam. A locally developed mobile application, kilimoAI, is assisting smallholder farmers in Tanzania by enabling early detection of crop pests and diseases.This tool addresses a longstanding ...