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Experts at City of Hope, a cancer research and treatment center, believe that AI tools will continue to improve precision medicine, streamline patient care and increase access to clinical trials.
Leveraging the power of AI and machine learning technologies, researchers at Weill Cornell Medicine developed a more effective model for predicting how patients with muscle-invasive bladder cancer will respond to chemotherapy.
Experts say the approach could also save millions of pounds by cutting projects or clinical trials that would otherwise fail.
This review discusses the current state of multicancer early detection tests, the role of machine learning in their development, and their implications for oncology practice and patient care.
The field of cancer treatment has long struggled with the immense costs and time-consuming nature of drug development. Traditional methods often take over a decade and billions of dollars to bring a single drug to market,
Sheba Medical Center has a long-standing reputation for providing exceptional medical care, conducting impactful research, and driving healthcare transformation
First Ascent Biomedical, a Miami biotech company and cancer researcher, will receive $2 million in funding from the Florida Cancer Innovation Fund. The grant is intended to accele
UNC Charlotte researchers are contributing to pioneering breakthroughs in cancer therapeutics, communicable disease forecasting and prevention, optical applications for health care, and use of AI and other innovative computational tools — and more.