The paper by Sajiki et al 1 gives us a fascinating glimpse of the potential benefits of applying machine learning to large ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Dynamic prediction of cancer-associated thrombosis to guide prophylactic anticoagulation. Age distribution of metastatic cancer patients and chemotherapy discontinuation rates.

An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...

Development and Validation of an 18F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography–Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal ...

Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...