Can better gut health help patients with ovarian cancer tolerate chemotherapy?
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Updates every hour. Last Updated: 24-Oct-2026 03:16 ET (24-Oct-2026 07:16 GMT/UTC)
Michigan Medicine experts outline strategies to prepare for gene editing in common diseases, including improving safety, expanding access and addressing ethical concerns.
Despite advances in early-stage lung cancer treatment, a significant number of patients experience disease recurrence after surgery or initial therapy. A novel study has now demonstrated that a blood test (liquid biopsy) can reliably detect lingering lung cancer traces even in the earliest clinical stages, long before a tumor is large enough to show up on a scan. This real-time genetic monitoring detailed in an article appearing in The Journal of Molecular Diagnostics, published by Elsevier, accurately predicts relapse risk, opening a critical window for timely, personalized therapeutic interventions.
A new study reveals that people are willing to sacrifice thousands of dollars to protect their privacy. By analyzing a legal reform that allowed personal injury plaintiffs to remain anonymous in court, the researchers found that insurance settlements increased by 12–17% once the risk of public exposure of sensitive health and financial information was removed. The findings provide rare real-world evidence that privacy has substantial economic value.
New conditions for Medicaid eligibility may pose grave challenges for physicians and the practice of medicine as a whole, according to a new Perspective by Boston University School of Public Health researchers in the New England Journal of Medicine. Physicians will be expected to adhere to new rules for determining and documenting Medicaid enrollees who are exempt or excluded from these requirements, including people who are “medically frail” and deemed to have certain limitations impacting their ability to work.
A 2026 study addresses how families of transgender youth fared after the start of the second Trump administration.
This study develops and tests DROID-RV, a deep learning model that estimates right ventricular size and function from echocardiograms, and assesses how those estimates relate to later health outcomes.