Analysis of eligibility criteria clusters based on large language models for clinical trial design.

Objectives: Clinical trials (CTs) are essential for improving patient care by evaluating new treatments' safety and efficacy. A key component in CT protocols is the study population defined by the eligibility criteria. This study aims to evaluate the effectiveness of large language models (LLMs) in encoding eligibility criterion information to support CT-protocol design.

Designing structured postgraduate training programs using agile methods.

Postgraduate medical education (PGME) is an essential part of medical education and increasingly shifts into focus of educational stakeholders. Structured postgraduate medical training programs are required in the U.S.

Apollo: A comprehensive GPU-powered within-host simulator for viral evolution and infection dynamics across population, tissue, and cell.

Modern sequencing instruments bring unprecedented opportunity to study within-host viral evolution in conjunction with viral transmissions between hosts. However, no computational simulators are available to assist the characterization of within-host dynamics. This limits our ability to interpret epidemiological predictions incorporating within-host evolution and to validate computational inference tools.

BCAS1-positive oligodendrocytes enable efficient cortical remyelination in multiple sclerosis.

Remyelination is a crucial regenerative process in demyelinating diseases, limiting persisting damage to the central nervous system (CNS). It restores saltatory nerve conduction and ensures trophic support of axons. In multiple sclerosis (MS) patients, remyelination has been observed in both white and grey matter and found to be more efficient in the cortex.