Disease combinations are often unique – anonymization of health data is therefore particularly complex. An interview on ...

This article explores how AI-augmented laboratories optimize high-throughput experimentation and improve efficiency in ...

What is the neuropsychological basis for the brain's ever-changing contextualized goals? I explore this question from the perspective of the Affect Management Framework (AMF).

A large fossil study shows young shark and ray species vanish faster, while older species stay stable over time.

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Madison Logic, a B2B marketing technology company focused on performance-first strategies, today announced the results of a new survey conducted on their behalf by The Harris Poll among over 300+ ...

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 ...

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) ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...