AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

North America Captures a Significant Revenue Share in the Automated Machine Learning Market, Supported by Government-Backed ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

MicroRNAs, whose discovery was recognized with the 2025 Nobel Prize in Physiology or Medicine, are central regulators of gene ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...

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 ...

Protein scientists could improve reproducibility and coordination across the field by rallying around a small, shared set of ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

As markets become faster and increasingly data-heavy, crypto trading platforms are no longer judged by access alone, but by ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green chemical processes and carbon dioxide capture has surged. Ionic liquids (ILs) ...