CDT Seminar: Application of medical imaging and advanced analytics for patient stratification and assessment of drug efficacy in clinical trials in neuroscience
Machine learning technologies have the potential to disrupt the way clinical trials are designed and interpreted. This presentation describes opportunities for the translation of automated data analysis solutions to support the biopharmaceutical industry to interpret data from brain scans and digital biosensors to enable better trial design, patient selection and clinical outcomes and lays out potential challenges during development, validation and regulatory approval. Focused on clinical trials in neurodegeneration, the presentation will look at applications of automated data analytics to help identify patients that could benefit most from potential treatment options, assess treatment outcomes, and assure drug safety.
Robin Wolz holds a M.Sc. in Computer Science and Engineering from Hamburg University of Technology and a Ph.D. in Medical Image Analysis from Imperial College London. He has a track record in peer-reviewed publications and conference presentations in the field of image analysis and machine learning with >3,000 citations and holds multiple patents in the field. In his role as SVP Science & Innovation at IXICO, Robin oversees all clinical science activities as well as the development of novel data analytics solutions to support optimisation of the design and analysis of clinical trials in neurodegeneration. He holds an honorary research fellowship at Imperial College and has previous industry experience in different roles in the Research and Healthcare divisions at Philips.
Date: Tuesday 26 February
Location: Roberts Building, G08, Sir David Davies LT (map)
18.00 – 19.00: Seminar
19.00 – 20.00: Drinks reception