‘A Big Step in Combating a Pervasive Myth’: What We Heard This Week

‘A Big Step in Combating a Pervasive Myth’: What We Heard This Week

July 17, 2022 0 By Jennifer Walker

“This is a big step in combating a pervasive myth that continues to cause very real harms to Americans.” — Ryan Marino, MD, of University Hospitals in Cleveland, on a video taken down by the CDC after complaints it misled law enforcement officers about their risk of fentanyl overdose on the job.

“As our [monkeypox] infection rates continue to rise, the system as it is now makes it nearly impossible to adequately scale up treatment.” — Mary Foote, MD, MPH, of New York City’s Office of Emergency Preparedness and Response, on red tape and supply limitations around monkeypox vaccines and treatments.

“It’s unsurprising that people who were previously highly functioning, who are now debilitated, can’t work, and can’t financially support themselves, would seek treatments elsewhere.” — Shamil Haroon, MBChB, of the University of Birmingham in England, on long COVID patients seeking unproven apheresis treatments.

“It was one of the most incredible things to see a pig heart pounding away and beating inside the chest of a human being.” — Robert Montgomery, MD, PhD, of NYU Langone Health, on two xenotransplants given to brain-dead persons to advance the science.

“The idea of blocking senescence has tremendous implications for the entire body.” — Abdhish Bhavsar, MD, of Retina Consultants of Minnesota in Minneapolis, on pilot results with an investigational drug targeting senescent cells for macular conditions.

“You’re going to, simply, for generations just repeat the cycle of generational poverty, low [economic] mobility, and everything else that comes with that.” — Camille Busette, PhD, of the Brookings Institution, speaking during a webinar about the implications of the Supreme Court decision overturning Roe v Wade.

“We view our work as contributing to the emergence of digital biomarkers for Alzheimer’s and dementia.” — Ioannis Paschalidis, PhD, of Boston University, on a machine-learning model that identified mild cognitive impairment and dementia from digital voice recordings.