This study describes the current opportunities and obstacles associated with Medicare Diabetes Prevention Program implementation from the novel perspective of program suppliers across the US.
Experts weigh in on the most promising AI applications, from diabetic retinopathy screening to smarter insulin delivery, and the barriers that remain to widespread adoption and access.
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Genetic risk scores fail to predict survival after diagnosis
Research indicates that disease susceptibility genetics poorly predict survival, while longevity PGSs offer stronger ...
Genetic screening can mean that people at risk of type 1 diabetes get earlier treatment and better outcomes This article is ...
Objectives: This study aimed to evaluate the effectiveness of value-based care (VBC) interventions in slowing the progression of chronic kidney disease (CKD), as measured by changes in estimated ...
Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...
At SlatorCon Silicon Valley 2025, Cohere’s Multilingual Team Lead shared an inside look at building multilingual LLMs and ...
Using nothing but mud, grass, and patience, a builder creates a frame hut that feels alive within the forest. Each piece, shaped by hand, turns raw earth into a peaceful home. See which Democrats ...
Nvidia (NASDAQ:NVDA) intends to invest up to $100B in Microsoft (NASDAQ:MSFT)-backed OpenAI progressively to build and deploy at least 10 gigawatts of AI data centers with Nvidia systems, the two ...
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