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 ...
Oncology Nurse Advisor

Machine Learning Model Predicts Nutritional Risk in Nasopharyngeal Carcinoma

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
European Medical Journal

Machine Learning Shows Promise in Predicting RA Treatment Response

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
IEEE

Generating Informative Benchmarks for Reinforcement Learning

Abstract: Reinforcement learning (RL) benchmarking has long relied on learning curves and cumulative reward tables, yet these metrics fail to capture critical design challenges, such as environment ...

Centaurs, canaries and J-curves: Pitfalls and productivity potential of AI

The lack of gains in productivity from AI could stall adoption and burst the economic bubble. Is there a rational explanation ...

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
IEEE

Reflection Curves and Machine Learning-Based Tissue Characterization for Early Diagnosis of Breast Cancer with Microwave Imaging

Abstract: In this study, the feasibility of extracting information about tissue dimensions, types, and distances to the antenna using the reflection coefficient of a single antenna, intended for early ...