True innovation in healthcare requires us to look beyond the obvious. For years, DNA sequencing has been the key pillar of precision medicine, offering insights into disease predispositions, mechanisms, and diagnosis that inform treatment.
The American Society of Clinical Oncology and Google Cloud have developed a tool called the ASCO Guidelines Assistant to help oncologists parse through and interpret clinical practice guidelines.
In the rapidly evolving field of oncology, the integration of big data and artificial intelligence is revolutionizing our approach to cancer research and treatment. The future of precision oncology requires integrating computational approaches with clinical practice.
The National Institute for Health Care Management Foundation is now accepting letters of inquiry for the 2025-2026 funding cycle of NIHCM Foundation’s Research Grant program. We will be awarding a total of $500,000 in grants to support innovative, independent, investigator-initiated research that has the potential to inform managed care organizations, policymakers, and related stakeholders to improve the affordability and quality of U.S. health care.
An artificial intelligence technique for detecting DNA fragments shed by tumors and circulating in a patient’s blood, developed by Johns Hopkins Kimmel Cancer Center investigators, could help clinicians more quickly identify and determine if pancreatic cancer therapies are working.
Artera, the developer of multimodal artificial intelligence-based prognostic and predictive cancer tests, announced the publication of a validation study in the JCO Clinical Cancer Informatics on Artera’s MMAI model.
An artificial intelligence-based model developed by UT Southwestern Medical Center researchers can accurately predict which kidney cancer patients will benefit from anti-angiogenic therapy, a class of treatments that’s only effective in some patients.
Avenda Health has announced study results showing that its cancer mapping tool, Unfold AI, predicts cancer spread more accurately than MRI.
We are at a transformational period in oncology; the overall mortality from cancer is gradually declining in the United States.
With recent leaps in artificial intelligence, there is major potential to turn computing advances into gains for human health.
