Microsoft and Bristol Myers Squibb have signed a new pact aimed at identifying lung cancer cases more quickly. | Microsoft ...
Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...
Microsoft and Bristol Myers Squibb join forces to advance AI lung cancer detection, aiming to improve early diagnosis and ...
Bristol Myers Squibb (NYSE: BMY, "BMS"), a global leader in oncology, today announced an agreement with Microsoft, a market leader in AI-powered radiology and clinical workflow technologies, aiming to ...
A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Novel Graph Neural Network (N-GNN) Model Achieves Superior Accuracy in Early Lung Cancer Detection, Paving the Way for Enhanced Diagnostic Capabilities. The research, a collaboration between BioMark's ...
Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Researchers at the Ludwig-Maximilians-Universität München (LMU) have now reported on a method ...
Abdus Sobur receives a 2025 Global Recognition Award for developing artificial intelligence models that support earlier ...
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