Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...
The Law of Mass action predicts that all adverse drug reactions are related to the concentration of the drug at the site of action, and therefore to the administered dose. In other words, there is no ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...
Background Motor and cognitive dysfunctions are common and disabling features in multiple sclerosis (MS) that remain challenging to treat. Here, we aimed to explore the effect of exergames as a ...
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