Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
Using longitudinal data on more than 370 000 older Japanese adults, we found that living in constituencies represented by pro-tobacco legislators was associated with higher smoking prevalence. The ...
Premenopausal women would benefit from a significantly more accurate diagnostic pathway for ovarian cancer, as a new study ...
Objectives Anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV) is a systemic autoimmune disease where infections ...
Background Coronary microvascular dysfunction (CMD) is associated with a poor prognosis but is difficult to diagnose non-invasively. In a recent paper, ST-segment depression on exercise-ECG was found ...
If you own last year's Apple Watch, is it worth upgrading to the latest model? We compare all the features. Jeff Carlson writes about mobile technology for CNET. He is also the author of dozens of how ...
Introduction Atrial fibrillation (AF), with a prevalence of 1–2%, is the most common cardiac arrhythmia. AF is associated with a fivefold increased risk of cardioembolic events; approximately 20% of ...
The 2026 Winter Olympics, held in Northern Italy in the cities of Milan and Cortina d'Ampezzo, are here. If you're tuning into the action this February, odds are you're going to see some bobsled, luge ...
The feature, called "Dear Algo," lets Threads users personalize what content they see by publicly posting an AI prompt.
Lindsay Curtis is a health & medical writer in South Florida. She worked as a communications professional for health nonprofits and the University of Toronto’s Faculty of Medicine and Faculty of ...
Zero-reliance financial automation is a development in which loss of one point does not extend to the other payment network, lending platforms or trading systems in cases of compromise. It takes ...
Lived experience functions as a form of data. Every woman has experienced bias and, as a result, becomes more attuned when it bleeds into systems. When women lead AI initiatives, questions about who ...