BioMark Diagnostics Announces Publication of Peer-Reviewed Validation of Machine Learning Models for Lung Cancer Detection in Frontiers in Oncology

Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...
Government Technology

Using Machine Learning to Understand College Closures

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
PharmTech

Integrating AI and Machine Learning in Drug Discovery and Development

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
IEEE Spectrum on MSN

Machine learning system monitors patient pain during surgery

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

AI model identifies how every country can improve its cancer outcomes

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
Healio

Researchers create AI model to predict sepsis in pediatric EDs

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
College of Natural Sciences

UT Undergrad Uncovers Country-Specific Factors Linked to Improved Cancer Outcomes

UT biochemistry major Milit Patel collaborated with researchers at Memorial Sloan Kettering Cancer Center on research published in a top cancer journal.