Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...

Enterprises are scrambling to figure out their AI stack, built not just for capability or scale, but for trust in the quality ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

FDA researchers present case studies using soft sensors to predict critical quality attributes and monitor crystallinity and ...

A computational model mechanistically links spinal circuit reorganization to recovered locomotion after incomplete spinal cord injury.

The growth of the Data Analysis Software Market is primarily driven by the exponential rise in structured and unstructured ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

The APAN program recently unveiled new concentrations: Emerging Technologies (on technological advances in analytics) and Quantitative Management (on algorithmic decision-making, quantitative risk ...

In this interview Satinder Pal Singh explains how AWS custom silicon is reshaping AI economics, enabling enterprises to cut ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

The company’s cross-disciplinary team lead by a Triple-Dr, Berenika Maciejewicz, applies bioengineering and AI towards human lifespan and healthspan extension.