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Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...
Researchers explore DNA methylation patterns for early ovarian cancer detection, aiming to improve survival rates through ...
AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the ...
8don MSN
Multimodal deep learning model improves risk prediction for cervical cancer radiotherapy decisions
Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...
A research team at UCLA, led by Professor Aydogan Ozcan, has introduced BlurryScope, a compact, cost-effective scanning ...
20h
Tech Xplore on MSN'More than just an image': New algorithm can extract hyperspectral info from conventional photos
Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality ...
What are the benefits and challenges of using multiomics approaches to discover cancer biomarkers? Multiomics means that scientists are measuring more than one class of analyte, such as DNA, RNA, or ...
The field of oncology has witnessed remarkable strides in early detection and treatment, yet cancer remains a formidable threat with high mortality rates ...
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