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2022 AABB Annual Meeting

AM22-ST01-L - AM22-ST01-L: Novel Data Science Techniques in Blood Banking/Transfusion Medicine: State-of-the-Art and Future Directions (Live)


Oct 1, 2022 8:30am ‐ Oct 1, 2022 9:30am



Credits: None available.

Description

Applications of novel state-of-the-art data science techniques, such as artificial intelligence/machine learning, multi-omics and “big data” analytics, in Blood Banking and Transfusion Medicine (BB/TM) are still in their relative infancy. With advancements in the efficiency of computational methods and availability of larger, more complex datasets, the time has come to leverage these novel techniques for driving innovation in the field and to bring them into the mainstream.
This educational session aims to give a problem based approach for utilizing cutting edge data science methods for clinical and research applications in BB/ TM. The session will provide a narrative review of the landscape of artificial intelligence/ machine learning and other data science techniques in BB/TM, including applications for demand forecasting, blood supply chain management, and patient blood management. It will elaborate on real world implementations of Omics and systems biology as examples for precision transfusion medicine. The session will expand on the role of BB/TM informatics in intelligent database design and curation for data driven research. Examples of innovative applications of “big data” analytics using large, nationally representative, multidimensional databases and registries will be explored with a focus on how they can be leveraged to produce meaningful research outcomes. Finally, the session will explore current gaps in BB/TM research and donor/ patient management that can be addressed with novel data science techniques, providing a blueprint for future adoption of computational techniques in the field.

Learning Objectives:
  • Review use cases of artificial intelligence/ machine learning and other data science techniques in BB/TM, including applications for demand forecasting, blood supply chain management, and patient blood management.
  • Evaluate real world implementations of Omics and systems biology for precision transfusion medicine.
  • Examine critical elements of database design and curation for facilitation of multidimensional databases and data driven research in BB/TM.
  • Assess how “big data” analytics using large, nationally representative, multidimensional databases and registries can produce meaningful research outcomes.

Speaker(s):

Moderator(s):

  • Aaron A. Tobian, PhD, MD, Department of Pathology, Johns Hopkins University School of Medicine

Disclosures

  • Aaron Tobian, PhD, MD : Nothing to Disclose
  • Ruchika Goel, MD, MPH : Nothing to Disclose
  • Jansen Seheult, MB BCh BAO, MSc, MS, MD : Nothing to Disclose

Credits

Credits: None available.

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