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The 11th Computational Approaches for Cancer Workshop (CAFCW25)
DescriptionAs cancer research becomes increasingly data-driven, the impact of high performance computing continues to grow, bridging the gap between scientific discovery and clinical application. HPC plays a transformative role in advancing cancer research and improving patient care by enabling the analysis of complex, large-scale biological data at unprecedented speed and scale. These capabilities accelerate the development of precision medicine approaches, allowing for more accurate diagnoses and tailored therapies. In addition, HPC supports large-scale clinical data integration, helping to uncover patterns and outcomes that inform evidence-based care.


This year's workshop will bring together a wide range of researchers interested in advancing the use of computation to better understand, diagnose, treat, and prevent cancer. Participants include clinicians, cancer biologists, mathematicians, data scientists, computational scientists, engineers, developers, vendors, thought leaders – and students. The special emphasis for CAFCW25 will build on the theme 'HPC Ignites Innovations in Cancer Research and Care' with presenters who show novel uses of HPC technologies in enabling efforts, clinical applications, translation for patient impact, and improving communication with visualization and education around cancer.
Presentations
9:00am - 9:05am CSTThe Eleventh Computational Approaches for Cancer Workshop (CAFCW25)
9:05am - 9:45am CSTPanel Session #1: AI, Cancer, the Future
9:45am - 10:00am CSTPoster Session Highlights
10:00am - 10:30am CSTMorning Break - Computational Approaches for Cancer Workshop (CAFCW25)
10:30am - 10:50am CSTiSTaRT - in Silico Targeted Radionuclide Therapy: Designing Inhibitor-Chelator Conjugates
10:50am - 11:10am CSTAn AI Agentic Framework for Understanding Low-Dose Radiation Effects on Human Lung Epithelial Cells
11:10am - 11:30am CSTPathLlama: A Language Model for Automated Cancer Surveillance
11:30am - 11:35am CSTStretch Break
11:35am - 11:55am CSTProgrammatic Innovations in Cancer Team Data Science
11:55am - 12:10pm CSTPathPCNet: Pathway Principal Component-Based Interpretable Framework for Drug Sensitivity Prediction
12:10pm - 12:25pm CSTBayesian Inference for Patient-Specific Digital Twins in Oncology
12:25pm - 12:30pm CSTWrap up and closing remarks