Imaging in Precision Medicine (IiPM) Beacon - Seminar Series
A09, Engineering Science Learning Centre (ESLC) School of Physics, University Park
Refreshments will be available afterwards for networking with Prof Bidaut
Speaker : Prof Luc Bidaut, Professor of Medical Imaging; College Lead for Interdisciplinarity, College of Science, University of Lincoln
Title : Translational and Quantitative Imaging in a Nutshell: from concepts to applications
Bio: Prof Luc Bidaut joined the University of Lincoln in July 2016 as Professor of Medical Imaging - Computer Science in the College of Science, before becoming the Head of the School of Computer Science for 3 years (Jan 2017-Feb 2020; with focus areas including robotics, games, HCI, data science and AI, and biomedical imaging). He became the first College Lead for Interdisciplinarity in February 2020.
Throughout his career in world-class academic hospitals and cancer centres in Europe, Switzerland, the US and UK, Prof Bidaut’s main interests have consistently centred on devising, deploying and exploiting new approaches, infrastructures and entities for extracting, combining and maximizing the utility of information that can be collected from the great variety of (bio)medical modalities and sensors.
Such concepts span the whole spectrum of micro to animals to humans and are therefore eminently relevant to research as well as to translational and clinical applications toward precision and personalized medicine.
Abstract: Through much varied technologies and inherent relevance to many paradigms, biomedical imaging readily lends itself to translational and quantitative approaches, from in-vitro all the way to clinical. After evolving and adapting throughout the translational pipeline, disciplines, technologies, scales and scopes eventually coalesce when reaching the in-vivo context through animal models, on the way toward direct evaluation, validation and application in humans.
The presentation will focus on introducing and demonstrating this still not fully tapped potential through a few examples, from providing and exploiting new biomarkers to affecting clinical workup, from diagnosis to therapy. Suggested implementation strategy for suitably supporting such a multidisciplinary effort in the scope of cancer - as an example - will also be touched upon.
The intent is not to be exhaustive or wholly address the question, but rather to illustrate what imaging - in a broad and modality-neutral sense - can not only bring to the fields of biomarkers and novel diagnostics, but also how it can assist in bridging the usual gaps between fundamental research and clinical applications.