Exercise has been shown to offer significant benefits in improving cancer prognosis, yet the precise molecular mechanisms driving these effects remain ...
A large language model scans abstracts and titles for signs that an article was produced by a 'paper-mill' company.
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Pune, a metropolitan city in western India, where this study ...
A machine learning model enhances treatment decisions for hepatocellular carcinoma, optimizing survival outcomes through personalized risk stratification. A machine learning (ML) decision-support ...
Abstract: Recently, deep learning-based image super-resolution (SR) has emerged as an effective and cost-efficient solution for obtaining images that surpass the physical limitation of sensors.
Abstract: Breast cancer is still a major global health issue, and early detection is important for better patient outcomes. This research discusses the use of machine learning algorithms for ...
Clinical Interchangeability of PD-L1 Immunohistochemistry Assays in First-Line Non–Small Cell Lung Cancer Management With Cemiplimab Internal iliac and obturator lymph nodes are common sites of ...
Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, it is becoming increasingly difficult to keep track and to select the ...
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