Data science to advance precision medicine

Healthcare and medical research are generating more and more complex data, encompassing clinical investigations, genomic medicine, imaging, pharmacokinetics, metabolomics, epidemiology and beyond. This “Data Science” can form the basis for precision medicine, approaching disease prevention and treatment by taking into account individual variability in genes, environment, and lifestyle. By deeply profiling individual patients and using this to improve predictive models of pathology in individual patients, advances will be made in elucidating of the drivers of the disease and making precise targeted treatments, providing the right treatment to the right patient at the right time. Both biologists and clinicians need to understand this emerging and highly translational approach.

  • Data collection for eHealth and mHealth
  • Data and decision support in clinic
  • Integrative and systems analysis of disease

Related Conference of Data science to advance precision medicine

Data science to advance precision medicine Conference Speakers