Stuart Dollow

Vermilion Life Sciences Ltd

Stuart is Chair of the Advisory Committee on Clinical Excellence Awards (ACCEA). He is a fully GMC registered physician, who trained in General Medicine and General Practice before gaining many years’ experience in senior leadership roles at Roche, GlaxoSmithKline, Norgine, Takeda and UCB. He is the Founder of Vermilion Life Sciences, which provides consultancy services to reduce the time and cost of medicines development to improve patient access.
Stuart is also an Authority Member of the Human Tissue Authority, a Board Trustee of the Faculty of Pharmaceutical Medicine, and has worked as an external ‘Champion'' for the UK Government''s Office for Life Sciences, Accelerated Access Review.

dont miss

Reengineering Medicines Development

Exploring opportunities to reduce the cost and time of medicines development. How patient input, digital tools and real world data in real time can facilitate adaptive licensing and early regulator and payer discussions to generate early access.

Stuart Dollow will be speaking in the following theatre:

EVEN MORE SEMINARS

  • Dr Sileida Oliveros: Speaking at the Oncology Convention

    Dr Sileida Oliveros
    GenesisCare

    Surface-Guided Radiotherapy and Optimal Breast Cancer Treatment

  • Dr. Matthew Prime: Speaking at the Oncology Convention

    Dr. Matthew Prime
    Roche Diagnostics Information Solutions

    Personalized healthcare: Leveraging data to improve patient care through clinical decision support in oncology

  • Ms Claire Barnard: Speaking at the Oncology Convention

    Ms Claire Barnard
    GenesisCare

    Surface-Guided Radiotherapy and Optimal Breast Cancer Treatment

  • Bertil RR Persson: Speaking at the Oncology Convention

    Bertil RR Persson
    Scandinavian ChemoTech AB. Sweden

    Dynamic-ElectroEnhanced Chemotherapy brings relief to patients with large tumour burden

  • Simon Walker-Samuel: Speaking at the Oncology Convention

    Simon Walker-Samuel
    University College London

    Using medical imaging with machine learning to develop efficient tools for diagnosing cancer