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Early warning for diabetes: AI model identifies prediabetes risk with high accuracy
By Priyanjana Pramanik, MSc. By combining oxidative stress biology with advanced machine learning, researchers show how a ...
Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...
A research team led by Dr. Jinung An of the Division of Intelligent Robotics at DGIST has developed a new AI foundation model ...
Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.
Introduction Cervical cancer screening is a critical preventive measure to reduce the burden of cervical cancer. Yet, ...
Objectives We hypothesise that women with type 2 diabetes and hypertension are less likely than comparable men to receive renin–angiotensin system (RAS)-inhibiting antihypertensive treatment, ...
New AI models are underperforming on SEO tasks. Discover why accuracy is down and how to adapt before these regressions ...
A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...
This early experimentation has allowed the company to take a step back and avoid getting swept up in the frantic AI agent ...
SLMs are not replacements for large models, but they can be the foundation for a more intelligent architecture.
Nexus proposes higher-order attention, refining queries and keys through nested loops to capture complex relationships.
An artificial intelligence (AI) model created by integrating clinical, molecular, and histopathological data significantly ...
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