An artificial intelligence (AI) system that combines breast cancer tissue images with molecular marker data achieves high ...
Hepatic and pancreatic oncology is at the forefront of medical research due to the persistently high morbidity and mortality associated with these cancers.
A new machine-learning approach for prostate-specific membrane antigen (PSMA) treatment of metastatic castration-resistant prostate cancer (mCRPC) could estimate radiation dose to tumors and healthy ...
Researchers at the Faculty of Information Technology at the University of Jyväskylä have used artificial intelligence to speed up the analysis of colorectal cancer samples and predict the functioning ...
Pediatric oncology is rapidly advancing through precision therapeutics, biomarker-informed trials, and adaptive treatment strategies designed to improve ...
Abstract: In recent years, massive datasets have significantly driven the advancement of visual learning such as multi-modal large model at the expense of high computational costs and extensive ...
Objective: This study aimed to evaluate the effectiveness and cost-effectiveness of an app-based mindfulness breast care (MBC) program in addressing body image distress and stigma for survivors of ...
Abstract: The advancement of machine learning (ML)-driven link adaptation (LA) in Vehicular Ad Hoc Networks (VANETs) is fundamentally constrained by the absence of high-fidelity, publicly available ...
For Rita Wilson, body positivity isn't all sunshine and rainbows. The actress and country music singer, who was diagnosed with breast cancer in 2015, opened up about how the health battle impacted her ...
Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...
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