Environmental exposures increase risk for cardiometabolic disease, but improved predictive tools combining satellite imaging, ...
The AI-based program AlphaFold predicts a protein's 3D structure with remarkable accuracy. However, it tends to reduce heterogeneous structures to a single dominant conformation, or shape, and ...
Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...
Every day, hospitals and health systems are finding new and better ways to care for the people and communities they serve.
Companies such as BTA Sports are focused on data, analytics, and decision-support tools that help users organize and ...
Discover why the transition from AI chatbots to autonomous agents is raising alarms about data loss, action blindness, and ...
Muhsin discussed how BD is rolling out a new medication dispenser and a software platform that pulls together data from the ...
The actuarial methodology powering insurance risk models is advancing faster than most carriers realize. Here is what is ...
Abstract: This work presents a plug-and-play (PnP) machine learning-based model predictive control (ML-MPC) framework for interconnected nonlinear systems. Assuming that each subsystem is ...
Introduction Chronic obstructive pulmonary disease (COPD) is a significant chronic respiratory condition characterised by persistent airway obstruction, leading to substantial morbidity and mortality ...
Introduction Coronary artery bypass grafting (CABG) remains one of the most commonly performed cardiac surgeries worldwide. Despite surgical advancements, a significant proportion of patients ...
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