8 research outputs found

    Almanac: Retrieval-Augmented Language Models for Clinical Medicine

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    Large-language models have recently demonstrated impressive zero-shot capabilities in a variety of natural language tasks such as summarization, dialogue generation, and question-answering. Despite many promising applications in clinical medicine, adoption of these models in real-world settings has been largely limited by their tendency to generate incorrect and sometimes even toxic statements. In this study, we develop Almanac, a large language model framework augmented with retrieval capabilities for medical guideline and treatment recommendations. Performance on a novel dataset of clinical scenarios (n = 130) evaluated by a panel of 5 board-certified and resident physicians demonstrates significant increases in factuality (mean of 18% at p-value < 0.05) across all specialties, with improvements in completeness and safety. Our results demonstrate the potential for large language models to be effective tools in the clinical decision-making process, while also emphasizing the importance of careful testing and deployment to mitigate their shortcomings

    Formulation and evaluation of polyherbal anti-diabetic tablet for oral drug delivery system

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    The Present Investigation was aimed to develop a Polyherbal tablet formulation for effective treatment of diabetes mellitus. Polyherbal tablets containing various Herbal extracts were prepared using different super disintegrants in varying concentrations to achieve minimum disintegration time. Pre-compression Parameters for all blends were within acceptable range of pharmacopoeial specifications. Formulation F4 showed minimum disintegration time of 14.20 minutes. Hence, it was selected as an optimised formulation and subjected to stability study. Stability study results revealed that, formulation F4 was a stable formulation having better disintegration time and % friability and could be used for effective treatment of diabetes mellitus

    Viability of preloaded Descemet membrane endothelial keratoplasty grafts with 96-hour shipment

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    Objective To assess feasibility and compare the effects of 96-hour shipment of Descemet membrane endothelial keratoplasty (DMEK) grafts as a scroll or a tri-fold on cell viability.Methods and analysis DMEK grafts were prepared at the Rocky Mountain Lions Eye Bank. Twenty pre-stripped DMEK grafts, paired from 10 donors, were either tri-folded in an endothelium-in configuration using microforceps and loaded into a plastic Treyetech cartridge, or suctioned in a scrolled endothelium-out configuration into a modified Jones Tube. Grafts were shipped via FedEx to a secondary location and back for 48 hours each way, resulting in a total shipping time of 96 hours. After shipping, grafts were removed from inserters onto glass slides and unfolded using viscoelastic with endothelium facing upwards. Calcein-AM stained grafts were imaged with a fluorescent microscope and endothelial cell loss (ECL) was measured using trainable segmentation in Fiji by a masked grader.Results A total of 20 grafts were shipped for 96 hours, split between preloaded tri-folded (n=10) and preloaded scrolled (n=10) tissues. No significant difference in ECL was observed across groups after prolonged shipping (14.8% vs 13.7% ECL respectively, p=0.68).Conclusion For preloaded DMEK after 96 hours, both scrolled and tri-folded tissue demonstrated clinically acceptable levels of ECL. The data suggest a wider window of time for endothelial cell viability and is promising for the prospect of international shipment of preloaded grafts

    The Liver as an Endocrine Organ—Linking NAFLD and Insulin Resistance

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