This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

By bridging the gap between theoretical logic and practical application, the syllabus fosters the technical proficiency and ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

Transparent Tribe (APT36) is linked to new cyber-espionage attacks using malicious LNK files, adaptive RATs, and long-term ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Artificial intelligence (AI) is no longer limited to tech labs. OpenAI launched ChaGPT in 2022. Since then AI chatbots have ...

Background Amyloid transthyretin (ATTR) amyloidosis is a rare, life-threatening disease frequently manifesting with ...

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

Underneath the screens, the Afeela 1 is no gimmick. A 91 kWh battery powers dual electric motors in an all-wheel-drive setup, ...

Weekly roundup exploring how cyber threats, AI misuse, and digital deception are reshaping global security trends.

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 ...