Tag: Prevention

Deepchecks raises $14m in seed funding for its new open-source platform focused on validating machine-learning models with a focus on safety & predictability. It offers monitoring across different stages to simplify non-critical tasks and is being used in finance & healthcare sectors.

UC Riverside researchers use machine learning to uncover personalized COVID-19 treatment regimens. The study discovered the most effective drug combinations, as well as the influence of patient factors on treatment effectiveness. The research highlights the potential of machine learning in healthcare and the importance of ongoing COVID-19 research.

A new study flags the possibility of early onset obesity in children aged 2-4 years using machine learning methods. The tracker identifies factors that lead to the condition, allowing policymakers to develop better prevention methods.

It's a sad truth but AI technology misuse is outgrowing commonplace security checks. A Fujian case of 4.3 million yuan stolen in 10 minutes using WeChat, highlights the danger of AI-generated images and voices. To combat this, experts are advocating prevention and caution before using AI technology and getting consent for images. Let's stay ahead of the curve and protect against potential misuse of AI.

This article explores the benefits of machine learning in diagnosis of myocardial infarctions (MI). It suggests that better integration of cardiac troponin concentrations and clinical features, could lead to a faster diagnosis and treatment to prevent unnecessary admissions, reduce healthcare inequalities, and make diagnosis more equitable. Discover the research of Professor Elizabeth Varker, Director of Cardiology Research at the George Institute for Global Health, that could simplify diagnosis process & improve patient care.