MIT researchers developed an interactive, AI-based system that enables users to rapidly annotate areas of interest in new biomedical imaging datasets, without training a machine-learning model in ...
Travis Hoppe, Acting Chief AI Officer at the CDC, discussed the agency’s use of AI to improve decision-making. The CDC has been developing machine learning models for years and is now focusing on data ...
AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.
From CASP to the Virtual Cell Challenge, researchers are leveraging science competitions and high-risk, high-reward grants to ...
Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Discover how AI and data science are revolutionizing sports, from predicting wins to preventing injuries, in ways coaches can actually use.
This article explores the science behind emerging 3D pregnancy scans and what the future holds for preventing pregnancy ...
Presentation of the best paper award at the RoboCup 2025 symposium.
A large language model called Delphi-2M analyzes a person’s medical records and lifestyle to provide risk estimates for more ...
An AI model just cracked the top 10 in a global prediction contest, signaling how machines are reshaping the future of ...
Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that ...
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