Hua Xu

Diagnostic Accuracy of Large Language Models for Rare Diseases: A Systematic Review and Meta-Analysis

This paper evaluates the diagnostic accuracy of large language models for rare diseases through a systematic review and meta-analysis, finding substantial variation in performance across benchmarks and high risk of bias in all studies.

A layered standards framework for integrating single-cell and spatial omics data into brain cell atlases

This paper introduces a standards framework for integrating single-cell and spatial omics data into brain cell atlases, enabling interoperable and reusable knowledge-ready resources.

The BRAIN Initiative Cell Census Data Ecosystem: A User's Guide

The paper provides a guide to the BRAIN Initiative Cell Census Network (BICCN) data ecosystem, its tools, and resources for analyzing brain cell types across species.

Learning from local to global - an efficient distributed algorithm for modeling time-to-event data

The paper introduces ODAC, a privacy-preserving distributed algorithm for multi-center Cox proportional hazard models, showing it matches pooled estimates and outperforms meta-analysis for rare events.

DATS: the data tag suite to enable discoverability of datasets

The paper introduces DATS, a metadata model for dataset discoverability, and describes its implementation for the DataMed data discovery index.

DataMed: Finding useful data across multiple biomedical data repositories

DataMed enhances data discoverability by creating a unified index of biomedical datasets across repositories, supporting FAIR principles for better knowledge discovery.