Compare No-KYC and DID to discover the future of digital privacy. Analyze security risks and see how Decentralized Identity ...
A new AI model predicts blood loss in high-volume liposuction with 94% accuracy, helping surgeons plan better, reduce risks, ...
Generative AI adoption, regulatory scrutiny, DEI policy shifts, real-world evidence, and rare disease economics emerged as key themes across these most-read Applied Clinical Trials articles shaping ...
HHS Secretary Robert F. Kennedy Jr.s CDC just funneled a $1.6 million dollar grant to researchers to carry out an unethical and scientifically unjustified randomized clinical trial of the birth dose o ...
EL PAÍS tested OpenAI’s child protection filters on three fictitious accounts. Mental health experts criticized the results, arguing that the measures are insufficient and fail to alert parents in tim ...
A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing high-volume liposuction, reports a study in the January issue of Plastic and ...
Explore the top 7 API automation testing tools for software developers in 2025, their features, strengths, pricing, and how they enhance API reliability and performance.
Introduction Compared with other high-income countries, the USA continues to have the highest rates of pregnancy-related and associated mortality and morbidity (PRAMM), particularly in rural areas and ...
A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...
A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing high-volume liposuction, reports a study in the January issue of Plastic and ...
Background In May 2020, England banned menthol as a characterising flavour in cigarettes. However, the sale of menthol accessories (eg, filters, flavour cards) remains permitted. This study assessed ...
A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...