AI + Genomics for Cancer & Human Disease
AI + Genomics for Cancer & Human Disease
We build interpretable AI to turn genomes into mechanisms—and mechanisms into better prevention, diagnosis, and treatment.
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AI-Driven Precision Treatment
From tumor transcriptomes, we prioritize drug candidates, combinations, and gene targets, with patient-level, explainable predictions.
2. Predictive Biology
Large language models forecast emergent gene/protein traits and interpret variants, linking sequence to mechanism and phenotype.
3. Immune Response Analysis
Single-cell and spatial data map tumor–immune circuits and microenvironment states to reveal biomarkers of response and resistance.
We pair model development with experimental validation and share models, data, and benchmarks to accelerate translation.
Jan 2025: Ala will graduate this May and begin his journey as an Assistant Professor in October! He’s the first graduate student from the TumorAI Lab.
Jan 2025: Ala will graduate this May and begin his journey as an Assistant Professor in October! He’s the first graduate student from the TumorAI Lab.
Nov 2024: Preliminary Protein2text (protein2text.tumorai.org) model is live! It predicts protein function from amino acid sequences. Congrats Ala! Note: This is an early version and may hallucinate. Use with caution—full release coming soon. Stay tuned!
Nov 2024: Preliminary Protein2text (protein2text.tumorai.org) model is live! It predicts protein function from amino acid sequences. Congrats Ala! Note: This is an early version and may hallucinate. Use with caution—full release coming soon. Stay tuned!
Sept 2024: Access to world's most powerful supercomputer. With over 37,000 GPU, we are ready to tackle computational challenges that typical on-premise clusters or cloud cannot handle.
Sept 2024: Access to world's most powerful supercomputer. With over 37,000 GPU, we are ready to tackle computational challenges that typical on-premise clusters or cloud cannot handle.
Sept 2024: Submitted two Manuscripts on Graphs. Congrats Mikaela, Luis, and Yue, and co-authors! Oct is coming!
Sept 2024: Submitted two Manuscripts on Graphs. Congrats Mikaela, Luis, and Yue, and co-authors! Oct is coming!
Sept 2024: Our AI research at thewas recently featured on KOAT News! https://www.koat.com/article/new-mexico-unm-cancer-center-ai-research/62073232
Sept 2024: Our AI research at thewas recently featured on KOAT News! https://www.koat.com/article/new-mexico-unm-cancer-center-ai-research/62073232
Sept 2024: ScDist accepted to Nature Comm! Statistically principled approach for identifying pertubation in single cell data. https://www.nature.com/articles/s41467-024-51649-3
Sept 2024: ScDist accepted to Nature Comm! Statistically principled approach for identifying pertubation in single cell data. https://www.nature.com/articles/s41467-024-51649-3
Aug 2024: LitGene, a transformer leveraging text knowledge for gene representations, predicting disease risk genes, grounding predictions to published literature. In bioArxiv now https://doi.org/10.1101/2024.08.07.606674 . Also the website https://litgene.avisahuai.com/
Aug 2024: LitGene, a transformer leveraging text knowledge for gene representations, predicting disease risk genes, grounding predictions to published literature. In bioArxiv now https://doi.org/10.1101/2024.08.07.606674 . Also the website https://litgene.avisahuai.com/
June 2024: Submitted Four Manuscripts for New Multimodal Approaches from TumorAI. Submitted four new manuscripts featuring innovative multimodal approaches DeepVul, MedGraphNet, Histopath-fusion, and Genen. Congratulations to Kushal, Ala, Macaulay, Yue, Kaibin, David, Luis, Mikaela, and Michael. Your hard work has truly paid off. Fingers crossed!
June 2024: Submitted Four Manuscripts for New Multimodal Approaches from TumorAI. Submitted four new manuscripts featuring innovative multimodal approaches DeepVul, MedGraphNet, Histopath-fusion, and Genen. Congratulations to Kushal, Ala, Macaulay, Yue, Kaibin, David, Luis, Mikaela, and Michael. Your hard work has truly paid off. Fingers crossed!
March 2024: Luis' Expert Guidance Propels Our High School Trainee Ganesh to Prestigious Awards! With Luis' mentorship, Ganesh topped in the Senior Division - Medicine & Health Sciences, also getting Donald Partridge Memorial Neuroscience and Richard Bild Memorial Research Challenge Awards.
March 2024: Luis' Expert Guidance Propels Our High School Trainee Ganesh to Prestigious Awards! With Luis' mentorship, Ganesh topped in the Senior Division - Medicine & Health Sciences, also getting Donald Partridge Memorial Neuroscience and Richard Bild Memorial Research Challenge Awards.
March 2024: GeneLLM accepted at the ICLR 2024. A hearty congratulations to Ala, Macaulay, David, Kushal, and the rest!
March 2024: GeneLLM accepted at the ICLR 2024. A hearty congratulations to Ala, Macaulay, David, Kushal, and the rest!
February 2024: Dr Kushal Virupakshappa gets awarded the 2024 AAI Intersect Fellowship for Computational Scientists and Immunologists: Congratulations!
February 2024: Dr Kushal Virupakshappa gets awarded the 2024 AAI Intersect Fellowship for Computational Scientists and Immunologists: Congratulations!
Jan 2024: Dr. Sarah Adams' project on DOD Ovarian Cancer Clinical Trials Academy has been funded! Our lab is thrilled to be part of the ACCELERATOR, an AI tool for ovarian cancer trials.
Jan 2024: Dr. Sarah Adams' project on DOD Ovarian Cancer Clinical Trials Academy has been funded! Our lab is thrilled to be part of the ACCELERATOR, an AI tool for ovarian cancer trials.
December 2023: Our New H100 Machine Running: Happy holidays!
December 2023: Our New H100 Machine Running: Happy holidays!
November 2023: David Arredondo Joins the Lab as Postdoctoral Trainee: David earned his degree from the UNM School of Engineering, specializing in DNA Nanotechnology and Molecular computing
November 2023: David Arredondo Joins the Lab as Postdoctoral Trainee: David earned his degree from the UNM School of Engineering, specializing in DNA Nanotechnology and Molecular computing
November 2023: Explore TumorAI Lab's Research in Avi's Presentation at UNM Grand Rounds.
November 2023: Explore TumorAI Lab's Research in Avi's Presentation at UNM Grand Rounds.
See the presentation here
ScDist in nature communication
ScDist in nature communication
Our latest publication in Nature Communications, in collaboration with Rafa Irizarry's Lab, introduces scDist—a principled approach to address variability in single-cell data. This rigorous tool enhances accuracy and uncovers robust perturbations in DC, pDC, and NK cells in COVID-19 and immunotherapy responses. As single-cell datasets grow, we’re excited to advance the intersection of AI, statistics, and biology.
Our Cancer Discovery publication
Our Cancer Discovery publication
unveils a new class of bipotent drugs for cancer therapy. This approach targets key regulators to simultaneously shut down cancer pathways and boost tumor immunity. Read this publication here. | View all our Publications.
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