Machine Learning Pinpoints Two Genes Behind Radiotherapy Resistance in Esophageal Cancer
By integrating single-cell and bulk RNA sequencing with machine learning and laboratory validation, researchers have identified MAP1LC3B and HSD17B10 as ...
By integrating single-cell and bulk RNA sequencing with machine learning and laboratory validation, researchers have identified MAP1LC3B and HSD17B10 as ...
A new review maps how artificial intelligence is transforming oncology drug discovery, clinical decision-making, and regulatory science from molecule design ...
A multicenter study combined DCE-MRI radiomics with clinical risk factors and machine learning to preoperatively predict lymphovascular invasion in breast ...
A University of Minnesota study found that a hybrid open-source OCR pipeline extracted Oncotype DX breast cancer recurrence scores from ...
Melanoma remains one of the most aggressive and treatment-resistant forms of human cancer, and although immune checkpoint inhibitors have transformed ...
Artificial intelligence may soon be able to detect one of breast cancer's most dangerous hidden features before a surgeon ever ...
A rare and particularly aggressive form of primary liver cancer may soon be easier to assess at the bedside, thanks ...
The fight against metastatic breast cancer has taken a significant step forward, as researchers in China have completed one of ...
A machine learning model developed by researchers in China may soon help surgeons answer one of the most persistent questions ...
Everyday chemicals that quietly interfere with hormones—from the bisphenols lining food cans to the "forever chemicals" lingering in drinking water—may ...
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© 2025 Scienmag - Science Magazine