Are wearables worth the hype?
September 29, 2020Read moreProbably the most important implication of digital biomarkers derived from commonly used devices, such as mobile phones, is that the discovery and publishing of such biomarkers is open to the world, allowing individuals to better track and understand their own health and healthcare.
Q&A with Gayle Tzemach-Lemmon, Award-Winning Author and Member of the Veterans Advisory Council
September 28, 2020Read moreGayle Tzemach-Lemmon, a New York Times bestselling author, adjunct senior fellow at the Council on Foreign Relations and Chief Marketing and Policy Officer at AI for national security firm Shield AI, is a member of the Veterans Advisory Council (VAC). We had the opportunity to speak with Gayle about why she joined VAC, current issues facing Veterans and how to change the narrative around PTSD and TBI.
NAVREF Annual Conference – September 14-16, 2020
September 16, 2020Read moreWe’re honored to sponsor and participate in NAVREF’s Annual Conference 2020. We look forward to sharing our innovations from the frontlines of Veterans brain research. Our team members will be presenting on advancing precision therapeutics and policy efforts to improve Veterans brain health.
ECNP Congress Virtual – September 12-15, 2020
September 14, 2020Read moreDr. Chantelle Ferland-Beckham, our Director of Policy & Advocacy, is presenting at the 33rd ECNP Congress Virtual on 9/12 – 9/16, a global meeting dedicated to innovation in the treatment of brain disorders.
Global Preclinical Data Forum and European College of Neuropsychopharmacology Announce the Winner of the 2020 Best Negative Data Prize
September 14, 2020Read moreThe Global Preclinical Data Forum (GPDF), a jointly sponsored U.S. and European initiative, funded by Cohen Veterans Bioscience (CVB) and the European College of Neuropsychopharmacology (ECNP), announced today the winner of the 2020 “Best Negative Data Prize.” The prize is awarded to the researcher or research group whose neuroscience study best exemplifies data where the outcomes do not confirm the expected results or working hypothesis.
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