Geisel School of Medicine student Lucy Skinner ’22 is lead author on a paper published today in the New England Journal of Medicine (NEJM) that examines the aging physician workforce in rural populations—a demographic shift with important implications for the future—and offers strategies to forestall the projected diminishing access to healthcare.
Post Tagged with: "research"
There is a strong association between the amount that U.S. states spend on their residents through statewide taxation and state government expenditures and middle-aged mortality rates, according to a new Dartmouth study in the journal PLOS One.
Ilana Cass, MD, vice chair of Obstetrics & Gynecology (OB-GYN) at Cedars-Sinai Medical Center in Los Angeles and professor of OB-GYN at Cedars Sinai Medical Center and at the David Geffen School of Medicine at UCLA, has been appointed Chair of OB-GYN at the Geisel School of Medicine at Dartmouth and Dartmouth-Hitchcock.
Dartmouth researchers have found a machine learning method that can predict the likelihood that a high-risk type of breast lesion is cancerous, potentially saving some women from unnecessary surgeries and overtreatment.
Surgical pioneer Andrea Hayes-Jordan, MD, D ’87 MED ’91, describes how majoring in religion while taking premed courses helped her grow her mind.
Are you a researcher? Writing a research proposal? Getting ready to publish? Attend Gear Up on January 24th, 2019 from 2:00 – 4:00 pm at DHMC Auditoria A-C to learn about Dartmouth and DHMC research support services and meet the people who provide the support. Gear Up is an information fair that gives you the opportunity get answers directly from the source – Dartmouth and DHMC departments that help with the research process. For more information, check out the Gear Up for Research website.
Steven D. Leach, MD, director of the Dartmouth-Hitchcock Norris Cotton Cancer Center and the Preston T. and Virginia R. Kelsey Distinguished Chair in Cancer at the Geisel School of Medicine at Dartmouth, has been named a Fellow of the American Association for the Advancement of Science.
Results from an innovative new study conducted by a team of researchers at Geisel are the first to show that machine learning approaches can be used to identify potential substance use risk behavior, such as alcohol use, among social media users.
Every year, hundreds of Dartmouth undergraduates learn the ins and outs of research with Geisel faculty.
Dedicated to mentoring Geisel students interested in research, Paul Barr, PhD, values their perspective and views them as a natural conduit between the medical and research communities.