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
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Data science to advance precision medicine Conference Speakers
Recommended Sessions
- Approaches to Stem Cells and Cell therapy
- Biospecimens as building blocks for Precision Medicine
- Cardiovascular medicine
- Data science to advance precision medicine
- Drug Discovery and Development
- Future of personalized medicine
- Individualized Treatment Through Personalized Medicine
- Market Strategies & Challenges in Personalized Medicine
- Metabolomics in precision medicine
- Personalized Health Care Delivery
- Personalized Vaccinology
- Pharmacogenomics & Personalized Medicine
- Precision Immunotherapy
- Precision Medicine
- Precision Medicine and Diagnostics Development
- Precision Medicine and Novel Technology
- Precision Medicine: Genomics, Data analysis and Big Data Management
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- Precision Pathology
- Predictive Biomarkers
- Preventive Medicine
- Treatment of Genetic Disorders
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