Human survival post-LGM relied on adaptation, cooperation, and innovation. Neanderthal and Denisovan genes shaped immunity and metabolism, but uniform modern diets clash with these traits, fueling chronic disease. Embracing diversity can drive health and resilience.

MAKAAO website for autoantibodies and autoimmune diseases

Computational pipeline for antigen-specific tolerogenic vaccine design—predicting MHC-II epitopes, scoring tolerance potential, and assembling candidate multi-epitope mRNA constructs (starting with ITP).

This repository integrates multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) with deep learning models to predict autoimmune and neurodegenerative diseases.

turning biometric AI data into a megaphone for patient care. Because being "loud" is more effective when you have the receipts.

Code for Zhang, Wei, Slowikowski, Fonseka, Rao, et al, Nature Immunology, 2019. Single-cell transcriptomics and proteomics data analysis and integration for rheumatoid arthritis synovial tissue. These integrative strategies can be generalized to any other diseases.

Links to interesting papers, blogs, software etc. related to immunology

Using scRNA-seq, machine learning, and online datasets to find candidate target antigens for repurposing CAR T-cell therapy for autoimmune diseases.

Archived preliminary version of the scRNA-seq analysis of Sjögren’s syndrome (superseded by updated dual-pipeline repository).

A multi-agent healthcare advocate system that reduces ER visits by 40% through personalized care, pattern learning, and validated early interventions for autoimmune conditions.

Source code for the At-Risk RA work

AAbAAC: An Annotated Corpus for Autoimmunity Information Extraction