Artificial intelligence (AI)-supported mammography identifies more cancers during screening and reduces the rate of breast ...
Deep learning analysis of FDG PET-CT improves survival prediction in non-metastatic breast cancer, outperforming standard staging and single modality models while supporting interpretable and ...
Apollo Athenaa Women's Cancer Centre in the national capital has implemented an advanced MRI-guided breast biopsy method to ...
As Breast Cancer Awareness Month draws attention to early detection and women’s health, researchers and scientists are developing technologies and treatments that could redefine the fight against ...
Study involved over 1 lakh women who were randomly assigned to either AI-supported breast cancer screening or standard screening without AI & followed up over 2 yrs. Median age was 54.
Breast cancer screening tech has come a long way in recent years, with improvements in accuracy and convenience in new methods. Now, researchers at the University of Buffalo are hoping to make it even ...
Innovative deep proteomic profiling reveals promising results from a blood-based test for early breast cancer, showcasing high sensitivity and specificity, explains Justin Drake, PhD. Current standard ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...