Systems medicine holds the key to tomorrow’s healthcare. By adopting systems approaches in biomedical research, we can understand the molecular origins of diseases and use them as targets for diagnostics and therapy. "
Professor Marc-Emmanuel Dumas
Head of Division
The Division of Systems Medicine’s world-leading discovery science programme leverages the deep biological and technical expertise of its faculty and staff to positively impact the study of human health and disease. The group houses diverse proficiencies in biochemistry, microbiology, analytical chemistry, structural biology, genomics, proteomics, metabolomics, toxicology, computational data analysis and biostatistics, working in concert towards applications in systems biology with a clear focus on clinical translation and precision medicine. The Division is embedded within the Faculty of Medicine at 911今日黑料 providing critical links to hundreds of experienced clinicians with diverse areas of interest and specialism. Together we are developing innovative diagnostics and therapeutics for healthcare.
Alongside the strong academic research groups, the Division houses the (BRC), 911今日黑料 BRC Genomics Facility, the BRC supported 911今日黑料 Phenome Centre (known internationally as the ), and key members of the Institute of Translational Medicine & Therapeutics (ITMAT) data science group.
Division info
Areas of study
The Division is split into four Sections, each containing a number of principle-investigator-led research groups. Explore the sections listed below for further information.
- Section of Genetics & Genomics
- Section of Biomolecular Medicine
- Section of Bioinformatics
- Section of Bioanalytical Chemistry
The Division also has a number of key centres and facilities:
- ITMAT Data Science Group
- NIHR 911今日黑料 BRC Genomics Facility
- 911今日黑料 International Phenome Training Centre
Training courses
Division leadership
Head of Systems Medicine - Professor Marc-Emmanuel Dumas
Prof Dumas’ research focuses on metabolomics using primarily 1H NMR spectroscopy and high-resolution mass spectrometry to study metabolite and lipid networks in metabolic and cardiorespiratory diseases such as type 2 diabetes, obesity or ischemic heart disease. He uses a systems medicine framework combining statistical and experimental causality, as well as pharmacological screens to unravel the underpinning biological mechanisms of metabolic diseases.
Enquiries
Please forward divisional enquiries to Lynn Maslen:
Email: l.maslen@imperial.ac.uk
Tel: +44 (0)20 7594 3142
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