Abouelkhair Laboratory
AI & Bioinformatics | Cancer Biology | One Health

Using machine learning and OMICs to decode cancer and infectious disease.

Abouelkhair Laboratory applies AI-driven multiomics to identify diagnostic biomarkers and therapeutic candidates for aggressive companion animal cancers, with translational impact for human oncology, and leads innovative approaches for pathogen characterization in One Health.

Explore Research Start a Conversation
  • Cancer biology Tumor microenvironment, biomarker discovery, and immunotherapy for aggressive animal cancers.
  • AI & machine learning Predictive models and AI-assisted OMICs pipelines for diagnostics and therapeutic discovery.
  • One Health Pathogen identification and molecular characterization bridging animal and human health.
Single-Cell RNA-Seq

Tumor microenvironment profiling in canine osteosarcoma

Single-cell RNA sequencing overview of the tumor microenvironment in canine osteosarcoma
Single-cell RNA-seq analysis of the canine osteosarcoma tumor microenvironment.
What the lab studies

Three scientific pillars, one connected research language.

Each pillar is designed to stand alone when needed, but the strength of the program comes from the way immunology, virology, and system-scale analysis inform one another.

Cancer Biology

Tumor microenvironment & immunotherapy

Using machine learning to identify diagnostic biomarkers and therapeutic candidates for aggressive companion animal cancers, with significant translational potential for human oncology.

AI & OMICs

AI-assisted multiomics discovery

Genomics, transcriptomics, proteomics, metabolomics, and CRISPR screening integrated with AI-driven bioinformatics to accelerate biomarker and drug target identification.

One Health

Pathogen characterization across species

Innovative AI-assisted OMICs approaches for pathogen identification and molecular characterization, bridging veterinary and human health at the One Health interface.