Data Science PlenaryAdvancing Population Health through Data-Driven Biomedical Research
Date: 22 Sep 2023, Friday | Time: 1610 - 1655 | Track Type: Plenary Lecture | Venue: PSL2, Level 2, Academia
Speaker: Dr Sebastian Maurer-Stroh
In the past decade, biomedical data has been generated at an unprecedented pace from electronic health records, wearable sensors, multi-omics profiling of patients and disease models, clinical trials and real world evidence across healthy and diseased cohorts ranging various infectious diseases, cancer, chronic diseases, rare diseases and many more. Large-scale data generated at research, clinic, environmental and behavioural levels can provide enormous opportunities to derive new insights that can improve population healthcare outcomes. By identifying patterns and trends in population health in integrated large and complex datasets, public health officials can develop evidence-based policies and interventions to improve health outcomes for targeted population, as well as address health disparities. However, many challenges have emerged, including data security, data management and infrastructure, advanced data analytics and the manpower crunch of trained biomedical data scientists. We will describe the ongoing efforts in the Bioinformatics Institute (A*STAR) to address these challenges as part of building a biomedical datahub and an advanced biomedical informatics platform to support research and healthcare institutions to advance data-driven biomedical research. We will also highlight examples where integrative large-scale data analytics and AI approaches can translate complex biomedical data to population health outcomes, including pandemic surveillance and preparedness, pharmacogenomics predictions and pharmaceutical intervention. Lastly, we will give an overview of ongoing initiatives to train and mentor biomedical data scientists of diverse computational skillsets to drive the data-centric population health ecosystem.
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