RMD Open

Sustained exposure to low- and high-income status and risk of all-cause mortality in individuals with rheumatoid arthritis: a population-based retrospective cohort stud…

Objective Although socioeconomic status has been linked to various rheumatoid arthritis (RA)-related outcomes, evidence on ...
AZoRobotics

The Automation Challenge in Immunogenicity Testing and the Rise of Virtual NAb Assays

Can automation solve the bottlenecks in immunogenicity testing? Dr. Rob Dodge explains the role of robotics and machine ...
AHA/ASA Journals

Designing Medically Tailored Meal Interventions: The Food as Medicine for Families (FAME-F) Factorial Randomized Clinical Trial

BACKGROUND: Medically tailored meals (MTM) have unanswered implementation questions. Providing MTM for a specific individual, ...

Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...
Scientific Research Publishing

Integrating Multi-Agent Reinforcement Learning and Evolutionary Game Theory for Adaptive Virtual Bidding Strategies in Electricity Markets ()

As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...