A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.

From matchboxes to transformers, the entire arc of AI unfolds as a single elegant idea: that predicting patterns, across vision, games, language, and motion, is sufficient to produce genuine ...

Foundation model-powered dual-module system establishes a new performance benchmark for AI-driven peptide drug ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Researchers have developed an uncertainty quantification-based framework for predicting degradation trends in proton exchange ...

Artificial intelligence (AI) is emerging as a powerful force in breast cancer research, but the future of personalized care ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Love Life Predictions for April 18, 2026: Choose the right time and setting for meetings. Move forward only after learning ...

In A Nutshell AI tools that track how the body’s molecular networks change over time may detect diseases like cancer, ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

Alumna, author and machine learning expert Vivienne Ming explains why the best defense against AI's downsides is investing in ...