PROGRAM & SCHEDULE
High-performance computing has become central to the future success of precision medicine. Catalyzed by the dramatic increase in the volume of research and clinical data available through sequencing and advanced imaging techniques, clinical data available through medical records and mobile health devices, research data from automated platforms, combined with molecular simulations and the rapid adoption of deep learning approaches has created a convergence shaping the frontiers of computing and precision medicine. New approaches to drug discovery, data sharing, aggregation and safeguards, use of machine learning models in research and clinical contexts has identified new challenges and opportunities in these rapidly evolving frontiers. The growth of opportunities to incorporate HPC in precision medicine applications continues to accelerate, exemplified by a very successful EU funded CompBioMed Conference held in September 2019 and pervasive presence of HPC applications at the recent SC19 conference including the room-filling (capacity limited at 82) Fifth Computational Approaches for Cancer workshop, along with panel discussions, Birds-of-a-feather meetings and multiple presentations.
The workshop provides an opportunity to address key challenges. Synergies among experiments and clinical applications and theory in precision medicine research are often complicated by the lacking availability of primary data. Given the growing use of predictive models in multiple forms, especially in the context of deep learning and AI, large volumes of reliable and well annotated information are needed to establish a ground truth for training, for evaluation and even for validation of models. During the workshop, connections will be made across the communities, discussing platforms and possible ongoing solutions to facilitate development, referencing and exchange of experimental data and computational results.
The workshop will address key areas of interest including: