A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
Abstract: Unless diagnosed and treated early, brain tumors unusual growths may prove to be lethal. Even with the standard methods, such as MRI scans, to precisely diagnose brain cancers, it may be ...
In a significant move aimed at strengthening regulatory clarity for cancer related medical technologies, the Central Drugs ...
Abstract: Timely with precise detection of tumors of brain provides a pivotal role in clinical decision-making as well as improving patient outcomes. Conventional deep learning approaches often adopt ...
A combination of two supplements — resveratrol and copper — reduced the aggressiveness of glioblastoma brain tumors in a small new study. Glioblastoma is among the most deadly and treatment-resistant ...
Medications used to treat type 2 diabetes may influence cancer risk and progression through biological pathways that extend beyond blood sugar control. By affecting inflammation, immune responses, and ...
Science Corporation, founded by former Neuralink president Max Hodak, has unveiled a prototype machine to extend the life of organs for longer periods. Science Corporation, the brain-computer ...
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