Institutional investors face complex decisions—where to allocate capital, which managers to trust, how to weather volatility. These choices can’t rely on instinct alone. They require data, structure, ...

Stanford Health Policy researchers built a model to test whether AI could effectively manage disease spread between prisons ...

The study of bone health and disease has traditionally relied on standard imaging approaches such as dual-energy X-ray absorptiometry (DXA) to evaluate bone ...

Crafting a winning ET AI Awards 2025 nomination requires more than technical excellence. It demands clarity of purpose, ...

Introduction The mental health first aid (MHFA) training is an evidence-based programme that is known to improve undergraduate students’ attitudes towards mental illness and confidence in helping ...

Key market opportunities in China's population health management sector include cloud and on-premise deployments, software and services components, and targeting both SMEs and large enterprises. Focus ...

AI, ML, and statistical algorithms guide solubilization method selection, demonstrated with compound CVN424. In a poster presentation at AAPS PharmSci 360, by Dineli Ranathunga, PhD, indicates that AI ...

The study warns against a purely mechanistic view of AI adoption. Without adequate reskilling, change management, and internal communication, even the most advanced AI infrastructures fail to deliver ...

Introduction Body image disturbance (BID) is a complex construct that includes cognitive-affective, perceptual and behavioural characteristics, influencing how people perceive and feel about their ...

Saudi Arabia's AI infrastructure market offers opportunities in segments like hardware, cloud, and hybrid deployment. Key growth drivers include demand for machine and deep learning technologies ...

USC researcher and philosopher Leah McClimans leads research efforts towards understanding the deeper parts of patient ...