Investigators from the UCLA Health Jonsson Comprehensive Cancer Center have developed an artificial intelligence model based on epigenetic factors that is able to predict patient outcomes successfully across multiple cancer types.
The Association of Community Cancer Centers released its annual Trending Now in Cancer Care report, including actionable strategies in eight key areas: payer-driven challenges, patient engagement, new care delivery models, workforce issues, business intelligence solutions, artificial intelligence clinical decision support tools, precision medicine, and research and clinical trials.Â
The initial foray into genomic sequencing two decades ago has led to the discovery of key driver mutations and spurred drug development, thereby transforming the management of imminently lethal diseases.
A study shows that an artificial intelligence model co-developed by researchers in the UCLA Jonsson Comprehensive Cancer Center and department of Urology at UCLA can help doctors determine the extent of cancer within the prostate.
Led by Stanford University School of Medicine’s Department of Urology, researchers found that Avenda Health’s machine learning model, Unfold AI, and novel cancer probability metric was shown to be accurate and effective in identifying the extent of the cancer, not just location.Â
SpaceMarkers, a machine learning software developed by researchers at the Johns Hopkins Convergence Institute and the Johns Hopkins Kimmel Cancer Center, can identify molecular interactions among distinct types of cells in and around a tumor, according to a study published in Cell Systems.
Leal, formerly known as Trialjectory, has established a predictive patient platform
ArteraAI and the American Cancer Society formed a collaboration focused on the development of AI-driven cancer therapy personalization.
University of Florida Health researchers and Nuance Communications Inc., a Burlington, Massachusetts, firm that specializes in radiology voice recognition and AI deployment, formed a research alliance to develop artificial intelligence tools to make radiologists’ work more precise, safe, and efficient.
Lucem Health established an early disease detection solution, Lucem Health Reveal, which leverages existing EHR data to identify patients who may be at a higher risk of serious or chronic disease.Â
