BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:America/Chicago X-LIC-LOCATION:America/Chicago BEGIN:DAYLIGHT TZOFFSETFROM:-0600 TZOFFSETTO:-0500 TZNAME:CDT DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0500 TZOFFSETTO:-0600 TZNAME:CST DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260202T201322Z LOCATION:241 DTSTART;TZID=America/Chicago:20251117T090000 DTEND;TZID=America/Chicago:20251117T123000 UID:submissions.supercomputing.org_SC25_sess205@linklings.com SUMMARY:The 11th Computational Approaches for Cancer Workshop (CAFCW25) DESCRIPTION:As cancer research becomes increasingly data-driven, the impac t of high performance computing continues to grow, bridging the gap betwee n scientific discovery and clinical application. HPC plays a transformativ e role in advancing cancer research and improving patient care by enabling the analysis of complex, large-scale biological data at unprecedented spe ed and scale. These capabilities accelerate the development of precision m edicine approaches, allowing for more accurate diagnoses and tailored ther apies. In addition, HPC supports large-scale clinical data integration, he lping to uncover patterns and outcomes that inform evidence-based care.\n\ n\nThis year's workshop will bring together a wide range of researchers in terested in advancing the use of computation to better understand, diagnos e, treat, and prevent cancer. Participants include clinicians, cancer biol ogists, mathematicians, data scientists, computational scientists, enginee rs, developers, vendors, thought leaders – and students. The special empha sis for CAFCW25 will build on the theme 'HPC Ignites Innovations in Cancer Research and Care' with presenters who show novel uses of HPC technologie s in enabling efforts, clinical applications, translation for patient impa ct, and improving communication with visualization and education around ca ncer.\n\nBayesian Inference for Patient-Specific Digital Twins in Oncology \n\nPredictive digital twins are poised to make an impact in the bourgeoni ng field of precision oncology by coupling mathematical and computational models with patient-specific data. The inherent inter-patient heterogeneit y in cancer physiology and response to therapy hinders development of ther apies at...\n\n\nGraham Pash, Umberto Villa, David Hormuth II, Thomas Yank eelov, and Karen Willcox (University of Texas at Austin, Oden Institute)\n ---------------------\nStretch Break\n---------------------\nAn AI Agentic Framework for Understanding Low-Dose Radiation Effects on Human Lung Epit helial Cells\n\nWhile data modalities like scRNASeq, histology, and DNA me thylation offer valuable insights into cellular responses to external pert urbations, learning from such datasets is often limited by the user’s abil ity to analyze large data, and familiarity with the existing knowledge bas e and tools. M...\n\n\nJoshua-James Claybon (Argonne National Laboratory ( ANL), Rice University); Sohum Kashyap (Argonne National Laboratory (ANL), Illinois Mathematics and Science Academy); Mitchell Conery, Alex Rodriguez , and Zilinghan Li (Argonne National Laboratory (ANL)); John Wu (Argonne N ational Laboratory (ANL), Harvard University); and Tarak Nandi and Ravi Ma dduri (Argonne National Laboratory (ANL))\n---------------------\nProgramm atic Innovations in Cancer Team Data Science\n\nInnovation in cancer care and research come about in many ways. High performance computing (HPC) has expanded the frontier for innovation in cancer and promises accelerated i mpact on the massive challenge of cancer. Yet even with visionary inspirat ion, vast quantities of data, and a growing capacity...\n\n\nEric A. Stahl berg, Bissan Al-Lazikani, Heiko Enderling, Jeffrey H. Siewerdsen, Linghua Wang, Yinyin Yuan, Amy Moreno, Stephanie T. Schmidt, Andrea Hawkins-Daarud , Shuhan Yang, David A. Jaffray, and Caroline Chung (The University of Tex as MD Anderson Cancer Center)\n---------------------\nWrap up and closing remarks\n---------------------\niSTaRT - in Silico Targeted Radionuclide T herapy: Designing Inhibitor-Chelator Conjugates\n\niSTaRT - in Silico Targ eted Radionuclide Therapy: Designing Inhibitor-Chelator Conjugates\n\nTarg eted radiopharmaceutical therapy (TRT) offers a precise and potent cancer treatment modality by delivering radioactive payloads directly to tumor ce lls. However, designing effective TRT agents - those that...\n\n\nDebsindh u Bhowmik (Oak Ridge National Laboratory) and John Vant and Van Ngo (Oak R idge National Laboratory (ORNL))\n---------------------\nPoster Session Hi ghlights\n---------------------\nPathLlama: A Language Model for Automated Cancer Surveillance\n\nTransforming unstructured information into structu red common\ndata models (CDM) is a critical step for enabling cancer\nsurv eillance and advancing precision medicine. CDMs standardize\nthe structure and content of oncologic data extracted\nfrom electronic health records. Unfortunately, traditional Extra...\n\n\nPatrycja Krawczuk, John Gounley, Abhishek Shivanna, and Mayanka Chandrashekar (Oak Ridge National Laborator y (ORNL)); Elizabeth Hsu (National Cancer Institute); and Heidi Hanson (Oa k Ridge National Laboratory (ORNL))\n---------------------\nMorning Break - Computational Approaches for Cancer Workshop (CAFCW25)\n---------------- -----\nPathPCNet: Pathway Principal Component-Based Interpretable Framewor k for Drug Sensitivity Prediction\n\nBackground: Precision medicine aims t o identify significant biomarkers and effective drugs based on individual genomic profiles, enabling personalized treatment strategies. Drug efficac y is commonly assessed via drug response, typically measured by the concen tration required to inhibit a biological ...\n\n\nBikhyat Adhikari, Masrur Sobhan, Ananda Sutradhar, Giri Narasimhan, and Ananda Mohan Mondal (Flori da International University)\n---------------------\nThe Eleventh Computat ional Approaches for Cancer Workshop (CAFCW25)\n\nThe importance of high p erformance computing is ever increasing as a critical component of cancer research and clinical applications. The current global cancer ecosystem in cludes new scientific methods, AI, ever expanding sources of data, and use of simulations. These dynamic changes have set the st...\n\n\nEric Stahlb erg (The University of Texas MD Anderson Cancer Center), Patricia Kovatch (Icahn School of Medicine at Mount Sinai), Lauren Lewis (Frederick Nationa l Laboratory for Cancer Research), Sally Ellingson (University of Kentucky Markey Cancer Center), Lynn Borkon (Frederick National Laboratory for Can cer Research), and Sean Hanlon (National Cancer Institute)\n-------------- -------\nPanel Session #1: AI, Cancer, the Future\n\nSally Ellingson (Univ ersity of Kentucky), Heidi Hanson (Oak Ridge National Laboratory (ORNL)), Eric Stahlberg, and Sunita Chandrasekaran (University of Delaware)\n\nReco rding: Livestreamed, Recorded\n\nRegistration Category: Technical Program Reg Pass, Workshop Reg Pass\n\nSession Chairs: Eric Stahlberg (MD Anderson Cancer Center, University of Texas); Sally Ellingson (University of Kentu cky); Lynn Borkon (Frederick National Laboratory for Cancer Research); Pat ricia Kovatch (Icahn School of Medicine at Mount Sinai); Lauren Lewis (Fre derick National Laboratory for Cancer Research); and Sean Hanlon (National Institutes of Health (NIH), National Cancer Institute (NCI)) END:VEVENT END:VCALENDAR