Large Language Models for More Efficient Reporting of Hospital Quality Measures.

Hospital quality measures are a vital component of a learning health system, yet they can be costly to report, statistically underpowered, and inconsistent due to poor interrater reliability. Large language models (LLMs) have recently demonstrated impressive performance on health care-related tasks and offer a promising way to provide accurate abstraction of complete charts at scale. To evaluate this approach, we deployed an LLM-based system that ingests Fast Healthcare Interoperability Resources data and outputs a completed Severe Sepsis and Septic Shock Management Bundle (SEP-1) abstraction.

A Reduction in Mitophagy Is Associated with Glaucomatous Neurodegeneration in Rodent Models of Glaucoma.

Glaucoma is a heterogenous group of optic neuropathies characterized by the degeneration of optic nerve axons and the progressive loss of retinal ganglion cells (RGCs), which could ultimately lead to vision loss. Elevated intraocular pressure (IOP) is a major risk factor in the development of glaucoma, and reducing IOP remains the main therapeutic strategy. Endothelin-1 (ET-1), a potent vasoactive peptide, has been shown to produce neurodegenerative effects in animal models of glaucoma.

The role of exercise in the prevention and treatment of Alzheimer's disease and mild cognitive impairments.

Large retrospective cohort studies have consistently shown that people who exercise regularly are at a markedly reduced risk of dementias such as Alzheimer's Disease (AD). Animal studies have also found that exercise can prevent cognitive decline, and recent studies have identified possible mechanisms. However, randomized controlled trials of exercise interventions in AD and mild cognitive impairment have not reached a consensus regarding the efficacy of this treatment, hampering clinical adoption of this technique.

Identification of FOXM1 as a novel protein biomarker and therapeutic target for colorectal cancer progression: Evidence from immune infiltration and bioinformatic analyses.

Colorectal cancer (CRC) remains a major global health challenge, with its underlying molecular mechanisms, particularly the role of FOXM1, not yet fully understood. This study employed an integrated approach combining bioinformatics along with experimental validation to explore the role of FOXM1 in CRC. Using advanced computational tools and experimental techniques, we aimed to clarify the biological significance of FOXM1 and its potential impact on CRC progression and treatment.