Yoshua Bengio, considered by many to be one of the godfathers of AI, has long been at the forefront of machine-learning ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

The global market for Data Center Chips was estimated at US$97.4 Billion in 2024 and is projected to reach US$109.3 Billion by 2030, growing at a CAGR of 1.9% from 2024 to 2030. This comprehensive ...

By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on Machine Learning have been presented. According to news reporting from Hong Kong, People’ s Republic of China, by ...

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...

The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

Quiq reports on key questions surrounding AI, covering its capabilities, risks, ethical challenges, and future implications ...

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...