$3.2 million NIH grant funds USC study of age-related inflammation and cancer
Grant and Award Announcement
Updates every hour. Last Updated: 23-Oct-2026 22:16 ET (24-Oct-2026 02:16 GMT/UTC)
Dr. Aaron Schimmer officially steps into his role as President and Scientific Director of the Ontario Institute for Cancer Research (OICR) today, marking a new chapter for cancer research in the province.
Schimmer brings a wealth of scientific, clinical, strategic and operational expertise to lead OICR. An internationally recognized hematologist, blood cancer scientist and research leader, he most recently served as Director of Research at University Health Network’s (UHN) Princess Margaret Cancer Centre, where he is also a longtime clinician-scientist.
As President and Scientific Director of OICR, Schimmer will lead the Institute and deliver on OICR’s provincial mandate to accelerate cancer research in Ontario for better health and a stronger economy.
CAMBRIDGE, Mass. — Aug 4, 2026 — Insilico Medicine (“Insilico”), a clinical-stage generative artificial intelligence (AI)-driven biotechnology company, today announced the publication of a collaborative study in the journal npj Precision Oncology. The peer-reviewed paper demonstrates how advanced artificial intelligence combined with comprehensive multi-omic analysis can successfully identify promising therapeutic targets in one of the rarest and least understood forms of head and neck cancer.
A new study led by Swansea University has laid bare the devastating impact that soaring infant formula milk prices are having on the health, finances, and mental wellbeing of UK parents and their children.
AMHERST, Mass. — Radiopharmaceutical therapy (RPT) has made great strides over the last 50 years, having only recently received FDA approval to treat prostate cancer. But despite the progress—and billions of dollars of industry investments—one area that has lagged behind is dosing, which is still one-size-fits-all. Now, researchers at the University of Massachusetts Amherst have developed an AI model that can inform treatment individualization by generating a patient’s radiation dose map that matches gold-standard accuracy in under 23 seconds.