jeffgenome.bsky.social
@jeffgenome.bsky.social
Computational biologist using AI to understand biology and cancer from tissue images
Pinned
For a great summary of how Tissue AI is revolutionizing the field of biology and especially cancer, check out this writeup of the science in my lab and others at The Jackson Laboratory. www.jax.org/news-and-ins...
Tissue AI: The future of tumor imaging
Tissue AI is like upgrading from a paper atlas to a high-resolution, interactive GPS system. Traditional imaging methods are like a basic street map—outlining major landmarks but missing the fine deta...
www.jax.org
I am excited to announce a new review by Javad Noorbakhsh, Ali Foroughi pour, and myself on Emerging AI Approaches for Cancer Spatial Omics, published in GigaScience. We discuss concepts important for the development of this fast moving field.
doi.org/10.1093/giga...
Emerging AI Approaches for Cancer Spatial Omics
Abstract. Technological breakthroughs in spatial omics and artificial intelligence (AI) have the potential to transform the understanding of cancer cells a
doi.org
October 16, 2025 at 7:59 PM
AACR story about our team's work on sarcoma diagnosis from histology images. www.aacr.org/blog/2025/07...
Eye on AI: How Artificial Intelligence Could Transform Care for Children with Sarcoma
New AI-driven models unveiled at the AACR Annual Meeting 2025 could revolutionize how we diagnose pediatric sarcomas.
www.aacr.org
July 18, 2025 at 6:03 PM
My terrific student Adam Thiesen has a preprint up on Multicenter Histology Image Integration and Multiscale Deep Learning for Machine Learning-Enabled Pediatric Sarcoma Classification. This work was led by Jill Rubinstein , in collab with teams at JAX, Yale, MGH, and Penn. doi.org/10.1101/2025...
Multicenter Histology Image Integration and Multiscale Deep Learning for Machine Learning-Enabled Pediatric Sarcoma Classification
Purpose Pediatric sarcomas are rare and diverse, often leading to misclassification that hampers prognosis and treatment planning. We collected and harmonized histology images from multiple medical ce...
www.medrxiv.org
July 16, 2025 at 6:07 PM
My colleagues Javad Noorbakhsh, Ali Foroughi pour and I have posted a preprint of a review summarizing Emerging AI Approaches for Cancer Spatial Omics. arxiv.org/abs/2506.23857
Emerging AI Approaches for Cancer Spatial Omics
Technological breakthroughs in spatial omics and artificial intelligence (AI) have the potential to transform the understanding of cancer cells and the tumor microenvironment. Here we review the role ...
arxiv.org
July 1, 2025 at 9:44 PM
Belated congratulations to my MD/PhD student Adam Thiesen for being selected for the newsworthy article session at the AACR 2025 meeting on his work "Multicenter Histology Image Integration and Multiscale Deep Learning for Machine Learning-Enabled Pediatric Sarcoma Classification."
May 7, 2025 at 9:40 PM
Thanks to all who came by the poster for my PhD student Sam Liu on "Spatially Resolved Immunologic Hallmarks of Response to Neoadjuvant Immune Checkpoint Blockade in Metastatic Melanoma" at AACR 2025. We are excited about this work with our collaborator Pei-Ling Chen from Moffitt Cancer Center.
May 7, 2025 at 9:39 PM
Great job by Jie Zhou, an outstanding student about to graduate with her PhD from my lab, for her poster at AACR 2025. Thanks to all who came to her poster on "Unveiling the spatial landscape of tumor and stroma heterogeneity in colorectal cancer with spatial transcriptomics and deep learning"
May 7, 2025 at 9:37 PM
Thanks to my colleagues at the PDXNet Annual Meeting last week in Chicago! It was an incredibly valuable discussion on new cancer treatment letters of intent coming out of patient-derived xenografts research, as well as basic research important to the use of these model systems.
May 7, 2025 at 9:33 PM
For a great summary of how Tissue AI is revolutionizing the field of biology and especially cancer, check out this writeup of the science in my lab and others at The Jackson Laboratory. www.jax.org/news-and-ins...
Tissue AI: The future of tumor imaging
Tissue AI is like upgrading from a paper atlas to a high-resolution, interactive GPS system. Traditional imaging methods are like a basic street map—outlining major landmarks but missing the fine deta...
www.jax.org
May 7, 2025 at 9:30 PM
Congrats to my amazing grad student Adam Thiesen for getting a podium talk at the Society for Surgical Oncology meeting, mentored by Dr. Jill Rubinstein. He’s speaking today on Deep Learning for Pediatric Rhabdomyosarcoma Subtype Classification from Histology Images.
March 28, 2025 at 11:09 AM