A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
11d
A machine learning model may enable liver cancer risk prediction with routine clinical information
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary factors contributing to driving under the influence, according to a new analysis ...
Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...
Machine learning identifies HLA structural features linked to graft failure, improving prediction and donor selection in ...
Que.com on MSN
The next frontier of machine learning: 2026 breakthroughs and the rise of world models
The Next Frontier of Machine Learning: 2026 Breakthroughs and the Rise of World Models The landscape of artificial ...
We conducted a retrospective, country-level study integrating GLOBOCAN 2022 incidence and mortality data, ClinicalTrials.gov records (2004-2025), and socioeconomic indicators (United Nations ...
IAEA launches a new research project on data-driven prediction of structural changes in polymers induced by radiation. The IAEA is inviting research organizations to join a new project that will use ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
12don MSNOpinion
AI agents are flashy, but machine learning still pays the bills
As agent hype fades, machine learning quietly proves it’s still essential.
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