Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...
A team led by investigators at the Mass General Brigham Cancer Institute has discovered that a particular marker on tumor ...
Shame can shape how early patients get diagnosed, and how aggressively they pursue treatment, if at all. In a 2014 study, Dr.
Abdus Sobur receives a 2025 Global Recognition Award for developing artificial intelligence models that support earlier ...
The researchers developed an AI model to design peptides (short proteins) that are targeted by enzymes called proteases, ...
Abstract: Lung cancer is very common and most dangerous among all cancers because of its quick progression and late diagnosis. Treatment results and patient survival rates are greatly enhanced by ...
Skin cancer is the most commonly diagnosed cancer in the United States, affecting one in five Americans during their lifetime. While basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs) ...
A UK research team has developed a pioneering blood test that could change the way lung cancer is detected and monitored. The research team—which brings together academics from University Hospitals of ...
Objective: To develop a differential diagnostic prediction model for distinguishing large opacities in pneumoconiosis from peripheral lung cancer based on CT radiomics. Results: A total of 108 ...
Kentucky has historically led the nation in lung cancer rates, but the statistics are turning around thanks to a decade-long statewide effort to engage more people in screening. Kentucky’s lung cancer ...
Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...
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