Date/Time: Sunday, March 19, 2023 - 10:45 AM to 12:15 PM
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Description:

AI is Not Enough: Explainable Biology for Improved Therapies

Technological advances and high-throughput bio-chemical assays are rapidly changing how we formulate and test biological hypotheses. To fathom complex biological processes, we need to systematically integrate multiple high-throughput datasets, ontologies and diverse annotations. Without proper management of biological data, AI algorithms cannot be effectively trained, validated and successfully applied to biomedical applications.

Advances in imaging modalities, RNA sequencing and mass spectrometry analysis have transformed research to simultaneously view all genes expressed, identify proteome-wide changes, and assess interacting partners of each individual protein within a biological system. While such views are already having an impact on our understanding of healthy and disease states, it remains challenging to comprehensively extract useful information from these studies, ensure that signal is separated from noise, and provide hypotheses for further research. Data remain incomplete and are often poorly connected using biological networks. Computational analysis results and models are going to be only as good as comprehensive and correct are the networks and data used to build them. High quality data portals enable translational research.

Abstract(s):

• O-58
  SINGLE-CELL ATLAS OF HUMAN INFRAPATELLAR FAT
  PAD AND SYNOVIUM UNRAVELS MECHANISMS OF
  OSTEOARTHRITIS-INDUCED JOINT PATHOLOGY
  S. Tang1, L. Yao2, L. Qin3, C. Ding1; 1Zhujiang Hosp., Southern Med. Univ.,
  Guangzhou, China, 2The First Hosp. of China Med. Univ., Shenyang, China,
  3Perelman Sch. of Med., Univ. of Pennsylvania, Philadelphia, PA
   

  O-59
  RNA SEQUENCING AND MACHINE LEARNING
  REVEAL A UNIQUE SYNOVIAL SIGNATURE IN ANKLE
  OSTEOARTHRITIS
  S. Buckley, M. David, M. C. Hamati, M. A. Hewitt, D. J. Adams, C. L. Ackert-
  Bicknell, M. J. Zuscik, K. J. Hunt; Univ. of Colorado, Aurora, CO

  O-60
  MACHINE LEARNING APPROACHES TO SEGMENT AND
  CLUSTER CELLS OF THE CARTILAGE AND CAPSULE IN
  RAT ELBOW HISTOLOGY SECTIONS
  M. A. David1,2, Y. Yuan2, A. Bacon2, S. Shah2, A. Movva2, B. Lang2, W. Gan2,
  I. Berke2, U. Kamilov2, S. Lake2; 1Univ. of Colorado Anschutz Med. Campus,
  Aurora, CO, 2Washington Univ. in St. Louis, St. Louis, MO
   

  O-61
  TOWARDS MODELLING THE JOINT ON A CHIP: A
  MECHANICALLY ACTIVE MICROFLUIDIC SYSTEM
  DESIGNED FOR ENGINEERED 3D MULTI-LAYER
  OSTEOCHONDRAL TISSUES
  A. Mainardi1, P. Occhetta2, I. Martin1, M. Rasponi2, A. Barbero1; 1Univ. of
  Basel, Basel, Switzerland, 2Politecnico di Milano, Milano, Italy

  O-62
  DEVELOPMENT OF A NOVEL SYNOVIAL JOINT-ON-ACHIP
  TO MODEL THE COMPLEX OSTEOARTHRITIC KNEE
  MICROENVIRONMENT
  L. Banh1,2, K. Cheung1, K. Perera1, E. Young1,1, S. Viswanathan1,2; 1Univ. of
  Toronto, Toronto, ON, Canada, 2Univ. Hlth.Network, Toronto, ON, Canada

Speaker(s):

• Igor Jurisica, PhD, DrSc