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UID:submissions.supercomputing.org_SC25_sess205_ws_cafcw117@linklings.com
SUMMARY:Programmatic Innovations in Cancer Team Data Science
DESCRIPTION:Eric A. Stahlberg, Bissan Al-Lazikani, Heiko Enderling, Jeffre
 y H. Siewerdsen, Linghua Wang, Yinyin Yuan, Amy Moreno, Stephanie T. Schmi
 dt, Andrea Hawkins-Daarud, Shuhan Yang, David A. Jaffray, and Caroline Chu
 ng (The University of Texas MD Anderson Cancer Center)\n\nInnovation in ca
 ncer care and research come about in many ways. High performance computing
  (HPC) has expanded the frontier for innovation in cancer and promises acc
 elerated impact on the massive challenge of cancer. Yet even with visionar
 y inspiration, vast quantities of data, and a growing capacity in HPC, the
 re are many key technical, scientific, organizational and cultural challen
 ges that remain in realizing impactful patient outcomes. \n \nThe volume o
 f real-world patient data at The University of Texas MD Anderson Cancer Ce
 nter is tremendous with 1.6 million outpatient patient visits per year, 14
  million pathology and laboratory procedures, and over 600,000 diagnostic 
 imaging procedures each year. Harnessing and leveraging this information, 
 however, requires more than HPC and computational algorithms. Ultimately, 
 it requires building a data and data science ecosystem to enable interdisc
 iplinary teams to effectively communicate around the data. To formulate ac
 tionable questions for cancer discovery and clinical data, teams must appr
 eciate the importance of the context of the data and embrace the complexit
 y of the data, cancer, and the surrounding healthcare system. \n\nMD Ander
 son Cancer Center has taken a particularly innovative approach in creating
  the Institute for Data Science in Oncology (IDSO) as part of an overall i
 nstitutional strategy to tackle these challenges and accelerate translatio
 nal impact for data science. While not a traditional computational approac
 h for cancer focusing on algorithms, methods, technologies, and implementa
 tions, the IDSO programmatic approach is addressing key challenges of crea
 ting an organizational ecosystem and culture that readily embraces, innova
 tes, advances, and adopts computational and data science approaches to can
 cer. \n \nBuilding on a decade of formative efforts and formally launched 
 in 2023, the IDSO approach is anchored with three pillars of team data sci
 ence, translational impact, and continuous learning and innovation, all wi
 th a direction for improving patient care. The IDSO serves as a hub with d
 efined programs in education and culture,  collaboration (both internal an
 d external), and five co-led team data science focus areas emphasizing tra
 nslational impact in domains of quantitative imaging, single cell spatial 
 analytics, computational modeling for precision medicine, decision analyti
 cs for health, and safety, quality, and access.\n \nAlready, IDSO is havin
 g key impacts, opening avenues for innovation in computational approaches,
  data flows and growing demand for HPC in meeting cancer challenges.  A co
 llaboration with the University of Texas at Austin, the Texas Advanced Com
 puting Center and MD Anderson co-led with IDSO has led to over 20 new coll
 aborative projects involving HPC. The Tumor Measurement Initiative, which 
 heavily uses HPC to train AI models using MD Anderson’s vast image resourc
 es has prepared hundreds of imaging datasets utilizing tens of thousands o
 f images and developed an initial library of model algorithms. The IDSO af
 filiates program now includes more than 50 individuals from across the ins
 titution. And in just two short years, the fellowship training program has
  trained more than 38 personnel in data science. \n \nThe presentation wil
 l provide useful insights including lessons learned in forming, launching 
 and establishing the IDSO, perspectives on challenges that require communi
 ties to solve, and thoughts on future directions.\n\nRecording: Livestream
 ed, Recorded\n\nRegistration Category: Technical Program Reg Pass, Worksho
 p Reg Pass\n\nSession Chairs: Eric Stahlberg (MD Anderson Cancer Center, U
 niversity of Texas); Sally Ellingson (University of Kentucky); Lynn Borkon
  (Frederick National Laboratory for Cancer Research); Patricia Kovatch (Ic
 ahn School of Medicine at Mount Sinai); Lauren Lewis (Frederick National L
 aboratory for Cancer Research); and Sean Hanlon (National Institutes of He
 alth (NIH), National Cancer Institute (NCI))\n\n
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