|
Presenting Author |
Abstract Title |
Presentation |
|
Antunes, Dinler |
Structure-guided cancer immunotherapy design with HLA-Arena 2.0 |
talk |
|
Belleau, Pascal |
RAIDS—Software Framework for robust ancestry inference from challenging human molecular data |
talk |
|
Beruldsen, Finn |
Composition-aware modeling of T-cell clonal competition in cancer immunotherapy |
talk |
|
Borges, Pamella |
CrossDome 2.0—Improved off-target toxicity prediction through database expansion and algorithm refinement |
talk |
|
Byrd, Anna |
ChEA-KG and ChEA-KG-TS—Network-based transcription factor enrichment analysis tool with a time series workflow |
poster |
|
Byrd, Anna |
Identifying tumor-specific membrane targets, therapeutics, and matching cell lines for experimental validation with the Multiomics2Targets2 workflow |
talk |
|
Carri, Ibel |
Systematic identification of noncanonical neoantigens from the dark genome in CEDAR using PEPMatch |
talk |
|
Carri, Ibel |
The Cancer Epitope Database and Analysis Resource (CEDAR) |
poster |
|
CHIN, B B |
Robust PET lesion detection using cross attention and patch contrastive learning |
poster |
|
Clarke, Daniel J |
Codon-64—Scalable creation of bioinformatics tools with vibe coding |
talk |
|
Davis, Sean |
Cancer genomics: Integrative and scalable solutions in R/Bioconductor—Progress update |
poster |
|
Del Fiol, Guilherme |
GARDE chatbot platform for digital health interventions in cancer prevention |
talk |
|
Diamant, Ido |
ARCHS4—Uniformly mining, processing, and serving human and mouse transcriptomics datasets from the Gene Expression Omnibus |
poster |
|
Dou, Yongchao |
SEPepQuant2 enables interpretable protein isoform quantification for cancer proteogenomic studies |
talk |
|
Evangelista, John Erol |
ARCHS4-seq—A metadata wheel user interface to interact with the ARCHS4 Database |
poster |
|
Fedorov, Andriy |
NCI Imaging Data Commons—Cloud-based open access to 100 TB of cancer imaging with AI-enhanced discovery |
talk |
|
Gardner, John K |
Perturb-Seqr—Comprehensive signature search engine integrating connectivity maps from multiple sources |
poster |
|
Goecks, Jeremy |
Artificial intelligence and machine learning advances in the Galaxy Computational Workbench |
talk |
|
Goldman, Mary |
UCSC Xena for embedding and mapping cancer single cell data using the Universal Cell Embedding (UCE) foundation model |
talk |
|
Gonzalez Camara, Pablo |
ImmunoPheno—A computational framework for data-driven design and analysis of immunophenotyping experiments |
talk |
|
Griffin, Tim |
Extensions to the immunopeptidogenomics (iPepGen) pipeline for characterizing the dark immunopeptidome and advancing immuno-oncology research |
talk |
|
Griffith, Malachi |
AI-assisted, expert-governed curation of clinical cancer variant knowledge in CIViC |
poster |
|
Griffith, Obi |
Advancing open somatic cancer variant interpretation through CIViC and ClinGen somatic cancer |
talk |
|
Hanauer, David |
Chatting with clinical notes—Incorporating LLM-based question-and-answer capabilities into the EMERSE search engine and text processing tool |
talk |
|
Harris, Gordon |
Open Health Imaging Foundation (OHIF) Viewer—Enhancing interoperability between the OHIF web viewer and 3D Slicer server-side applications |
talk |
|
Hochheiser, Harry |
DeepPhe-Viz 2.0—Interactive cancer cohort discovery from electronic medical records |
poster |
|
Isaac, Kathryn |
Impact of the ITN's educational support for cancer researchers |
talk |
|
Karchin, Rachel |
From variants to insights—LLM-driven genomic annotation with the OpenCRAVAT MCP server |
talk |
|
Lee, Michael J |
Resolving drug mechanisms of action using the MEDUSA web portal. |
talk |
|
Liang, Han |
The Cancer Proteome Atlas—New web platform and foundation models for functional proteomics |
talk |
|
Lindsay, James |
cBioPortal Chat—A work in progress to develop a tool-grounded conversational interface to access cancer genomics data |
talk |
|
Luo, Runpeng |
Inferring allele-specific copy number aberrations across different sequencing technologies |
talk |
|
Nebbia, Giacomo |
Learning temporal acetowhitening patterns for lesion localization in cervical colposcopy with quantum variational rewinding |
talk |
|
Nguyen, Tin C |
BioGnosia—A graph-enhanced retrieval-augmented generation system for biomedical question answering |
talk |
|
Oh, Sehyun |
MetaHarmonizer—A calibrated, locally deployable framework for biomedical schema matching and ontology grounding |
talk |
|
Osmanbeyoglu, Hatice U |
DGAT—A dual-graph attention network for inferring spatial protein landscapes from transcriptomics |
talk |
|
Prabhakaran, Abinanda |
Agentic AI report generation for the potential associations between understudied genes and liver diseases |
poster |
|
Prasanna, Prateek |
Treatment-aware digital twins in oncology using diffusion models and standard-of-care tumor dynamics |
talk |
|
Roncali, Emilie |
AI and theranostics digital twins for liver cancer radioembolization |
talk |
|
Rose, Johnie |
Building PopCASE, a population cancer research tool—2 years in |
talk |
|
Shah, Pratik |
Generative deep learning for computational destaining and restaining of unregistered digital pathology images |
talk |
|
Stein, Lincoln |
Conversational AI workflows for cancer genomics data discovery and pathway interpretation |
talk |
|
Surana, Pallavi |
Variant-informed pipeline for evidence-based drug target ranking (ViC targets) |
talk |
|
Taub, Lily |
Integrating connectivity mapping resources with primary tumors, PDX models, and cell lines to prioritize drug candidates for individual triple negative breast cancer patients |
poster |
|
Tran, Vietbao N |
Generative deep learning of immunohistochemistry staining patterns from native H&E whole slide images for cancer diagnosis |
talk |
|
Uttam, Shikhar |
Three-dimensional spatial methods for characterizing the tumor microenvironment |
talk |
|
Wagner, Alex |
Scaling cancer knowledge sharing with GA4GH standards |
poster |
|
Wang, Chi |
Identification and evaluation of predictive biomarkers using ratios of time-to-event outcomes |
talk |
|
Yu, Haiyuan |
Integrating structural homology with deep learning to achieve highly accurate 3D interactome modeling at full protoeme scale |
talk |