High numbers of rural patients cross state lines for cancer care

In a new study, researchers from Huntsman Cancer Institute at the University of Utah (the U) found that 7% of Medicare patients cross state borders for cancer care, and rates were nearly double for those who lived in rural areas. This has important implications for telehealth policies and physician licensure, says Tracy Onega, Ph.D., MA, MPAS, MS, senior author of the study, senior director of population sciences at Huntsman Cancer Institute, and professor of population sciences at the U. A key research priority at Huntsman Cancer Institute is working to enhance access to care for cancer patients who live far from a major medical center.
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ACP’s Best Practice Advice addresses use of cannabis, cannabinoids for chronic noncancer pain

The American College of Physicians (ACP) has issued Best Practice Advice for clinicians whose patients are considering or using cannabis or cannabinoids for management of chronic, noncancer pain. Cannabis or Cannabinoids for the Management of Chronic Noncancer Pain: Best Practice Advice From the American College of Physicians, was published today in Annals of Internal Medicine.
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‘Master regulator’ gene could lead to more effective treatment for patients with ovarian cancer

In a study co-led by the University of Maryland School of Medicine (UMSOM), researchers have identified a “master regulator” gene, ZNFX1, that may act as a biomarker to help guide treatment in future clinical trials involving patients with therapy-resistant ovarian cancer, according to a study recently published in Cancer Research.
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AI can recommend if you need to be screened for cancer

Currently, recommendations for cancer screening are primarily based on the age of the patient. Therefore, practitioners may not encourage younger at-risk individuals to be screened for cancer. They may unnecessarily encourage older low-risk individuals to screen for cancer. Artificial intelligence (AI) can change this. Farrokh Alemi at George Mason University has edited a collection of five articles by colleagues and students on how data science can be used to predict risk of cancer and enable risk-based AI systems to recommend cancer screening. Their research shows that risk-based models have predict between 60–90% of based on the cancers:
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Preventable pediatric cancer mortality surges in areas of armed conflict, exceeding rates in non-conflict regions

More than half of all pediatric cancer deaths worldwide occur in regions of armed conflict, according to a new study led by investigators from St. Jude Children’s Research Hospital, Duke University and other collaborators. The study demonstrated that pediatric cancer diagnoses and mortality are significantly impacted in areas of armed conflict and documented the significant contribution these troubled areas make to the global burden of childhood cancer.
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