Darcie L. Moore

This paper introduces KM-GPT-DCH, a method using LLMs and Bayesian analysis to evaluate and compare biomedical hypotheses by analyzing scientific literature.

This paper introduces a TCSPC-based flow cytometer for real-time single-cell autofluorescence lifetime analysis, demonstrating viability and sensitivity to metabolic changes in various cell types.

The paper uses autofluorescence imaging to identify and track neural stem cell activation states in vitro and in vivo, linking it to transcriptional features and cell behavior.

Directly-reprogrammed human neurons show reduced neurite growth ability with age, mirroring rodent developmental patterns.

The paper shows transcript errors generate amyloid and prion-like proteins in human cells, linking DNA damage to aging and disease.