Prof Adam Waldman

MRC Institute of Genetics & Molecular Medicine CANCER RESEARCH UK Imaging

The overall theme of my research is development and validation of quantitative and molecular imaging biomarkers which reflect key features of genetics and metabolism in human glioma, for clinical stratification, therapeutic planning and drug development:

Experimental phase MRI and PET imaging studies of intermediary metabolism, validated against tissue metabolic markers from defined tumour regions; for more reliable tumour characterisation, and identification of potential therapeutic targets.

Translational multi-centre platform studies of early therapeutic response in GBM using quantitative diffusion imaging for improved endpoints in clinical trials and clinical decision-making.

Quantitative MRI for treatment stratification and planning in adult supratentorial low grade glioma.

Development of PET-MRI methodology and co-analysis for improved glioma characterization.

Integration of quantitative MRI and PET into surgical neuro-navigation systems, for improved targeting for biopsy and surgical resection.

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Biomarkers in Adult Glioma

EVEN MORE SEMINARS

  • Matthew Bull: Speaking at the European Neurological Convention

    Matthew Bull
    Frimley Health NHS Foundation Trust

    Pathology within the Oropharynx and Oral Cavity

  • Dr Jagrit Shah: Speaking at the European Neurological Convention

    Dr Jagrit Shah
    Vice President of the British Society of Head & Neck Imaging

    Chairing Session 3. Upper Aerodigestive Tract

  • Andy Rogers: Speaking at the European Neurological Convention

    Andy Rogers
    Nottingham University Hospitals

    Interventional staff dose reduction: Gaining insight through new technology

  • Professor Sanjay Gandhi: Speaking at the European Neurological Convention

    Professor Sanjay Gandhi
    North Bristol NHS Trust

    Role of CAD and AI in lung and colorectal cancers

  • Mike Tanner: Speaking at the European Neurological Convention

    Mike Tanner
    EPSRC Proteus / Heriot-Watt University & University of Edinburgh

    Locating medical devices through early arriving single photon imaging