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As machine learning and deep learning technologies advance thanks to advances in computation, algorithms and data availability, the possibilities of the technology continue to expand in medicine. While these AI-driven approaches have real potential, such systems demand large volumes of representative data, careful privacy and security scrutiny and thoughtful long-term strategic planning. In this Q&A, Kathryn Rough, associate director of the Center for Advanced Evidence Generation at IQVIA, discusses the impact of deep learning on healthcare delivery and recommends steps to take during the design, training, evaluation and deployment phases to increase the likelihood that these models will be safe, effective and ethical when trained on real-world health data. Rough also explores the role of epidemiologists in evaluating these technologies as part of multidisciplinary teams and provides advice for health…The psychedelic neuroplasticity and safety conundrum: Reaping the rewards of neuroplasticity with caution
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Evidence continues to build that serotonergic psychedelics such as psilocybin, DMT, and LSD promote neuroplasticity. Cortical atrophy is involved in the development of a broad swathe of neuropsychiatric conditions ranging from depression to substance use disorder. But it remains unclear how psychedelics may potentially treat mood disorders and other conditions. Despite their therapeutic potential, these compounds continue to remain unpopular in some quarters and could be contraindicated for many individuals even if they ultimately win regulatory approval.Drug developers, such as Boston-based Delix Therapeutics and Onsero Therapeutics, aim to develop compounds that trigger neuroplasticity in what they deem to be a safer and more accessible therapeutic option than classic psychedelics.
Meanwhile, players such as Compass Pathways (Nasdaq:CMPS) and Small Pharma (CVE:DMT), are wo…