Andrew Beam on Muck Rack

Andrew Beam

Boston
As seen in: NEJM AI Grand Rounds, Nature, Wiley Online Library, Educational Studies, MDPI, Flipboard, JAMA (The Journal of the American Medical Association), JAMA: Journal of the American Medical Association, The New England Journal of Medicine, STAT, The Lancet and
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Articles

The need for guardrails with large language models in pharmacovigilance and other medical safety critical settings - Scientific Reports

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By Andrew Beam
| Nature
Abstract Large language models (LLMs) are useful tools with the capacity for performing specific types of knowledge work at an effective scale. However, LLM deployments in high-risk and safety-critical domains pose unique challenges, notably the issue of “hallucinations”, where LLMs can generate fabricated information. This is particularly concerning in settings such as drug safety, where inaccuracies could lead to patient harm.
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The need for guardrails with large language models in pharmacovigilance and other medical safety critical settings

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By Joe Hakim, Jeffery L Painter, Darmendra Ramcharran, Vijay Kara, Greg Powell, Paulina Sobczak, Chiho Sato, andrew bate, Andrew Beam
| Flipboard
10 Feline Love Languages and How to Recognize Them Cats have long been the enigmatic companions of humans, their mysterious ways often leaving us pondering the depths of their affection. Have you ever …
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Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopy - npj Digital Medicine

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By Neslihan Dilruba Koseoglu, Andrew Beam
| Nature
Abstract Neuropathic corneal pain (NCP) is an underdiagnosed ocular disorder caused by aberrant nociception and hypersensitivity of corneal nerves, often resulting in chronic pain and discomfort even in the absence of noxious stimuli. Recently, microneuromas (aberrant growth and swelling of the corneal nerve endings) detected using in vivo confocal microscopy (IVCM) have emerged as a promising biomarker for NCP.
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