Transforming the logistics of liver transplantation with normothermic machine perfusion: Clinical impact versus cost.

Normothermic machine perfusion (NMP) facilitates utilization of marginal liver allografts. It remains unknown whether clinical benefits offset additional costs in the real-world setting. We performed a comparison of outcomes and hospitalization costs for donor livers preserved by NMP versus static cold storage (SCS) at a high-volume center.

Obesity modulates NK-cell activity via LDL & DUSP1 signaling for Populations with Adverse Social Determinants.

African American (AA) women are disproportionally affected by obesity and hyperlipidemia, particularly in the setting of adverse social determinants of health (aSDoH) contributing to health disparities. Obesity, hyperlipidemia, and aSDoH appear to impair Natural Killer cells (NKs). As potential common underlying mechanisms are largely unknown, we sought to investigate common signaling pathways involved in NK dysfunction related to obesity and hyperlipidemia in AA women from under-resourced neighborhoods.

Not the Models You Are Looking For: Traditional ML Outperforms LLMs in Clinical Prediction Tasks.

Objectives: To determine the extent to which current Large Language Models (LLMs) can serve as substitutes for traditional machine learning (ML) as clinical predictors using data from electronic health records (EHRs), we investigated various factors that can impact their adoption, including overall performance, calibration, fairness, and resilience to privacy protections that reduce data fidelity.

Materials And Methods: We evaluated GPT-3.5, GPT-4, and ML (as gradient-boosting trees) on clinical prediction tasks in EHR data from Vanderbilt University Medical Center and MIMIC IV.

π-HuB: the proteomic navigator of the human body.

The human body contains trillions of cells, classified into specific cell types, with diverse morphologies and functions. In addition, cells of the same type can assume different states within an individual's body during their lifetime. Understanding the complexities of the proteome in the context of a human organism and its many potential states is a necessary requirement to understanding human biology, but these complexities can neither be predicted from the genome, nor have they been systematically measurable with available technologies.