Sanchita Bhattacharya

Benchmarking Large Language Models for Predictive Modeling in Biomedical Research With a Focus on Reproductive Health

This study evaluates large language models' ability to generate predictive modeling code for reproductive health using standardized datasets, finding R code generation more successful than Python and some models matching top DREAM challenge teams.

Transplant-Agents: A Multi-Agent Artificial Intelligence Framework for Reproducibility Assessment of Post-Transplant Risk Prediction and Rejection Biomarkers

Transplant-Agents uses a multi-agent AI framework to identify reproducible biomarkers and predict transplant rejection risk with high AUROC scores across multiple datasets.

ImmuneFM: Pre-training Foundation Model from Cytometry Data for Immunology Research

The paper develops ImmuneFM, a foundation model pre-trained on cytometry data for immunology, showing superior performance on eight downstream tasks with limited labeled samples.

A robust and interpretable, end-to-end deep learning model for cytometry data

This paper introduces a deep learning model for cytometry data that accurately diagnoses latent CMV infection and identifies associated cell populations.

Meta-analysis of Cytometry Data Reveals Racial Differences in Immune Cells

MetaCyto enables meta-analysis of flow and mass cytometry data, revealing racial differences in immune cell populations across 2926 samples.