Methodologies for Multi-Modal Analysis of Biological and Clinical Datasets
We are delighted to announce that the CRUK Convergence Science Centre will hold an in-person workshop addressing the importance of Mathematical Oncology in the analysis of multi-modal biological and clinical datasets. This workshop will be taking place at the Centre's space on Tuesday 21st February 2023 from 13.00-16.00.
Cancer research has now become indissociable from multi-modal datasets. Combining spatial and temporal multi-OMICs with digital pathology, pathway analyses and medical imaging, it has never been more challenging to make use of the wealth of biological and clinical data that can be collected. But what purpose serves the culmination of Big Data if they cannot be meaningfully resolved?
Mathematical Oncology was born at the interface between cancer research and mathematics. It uses the power of applied mathematics, computation, and machine learning to model, stimulate and illuminate our understanding of complex biological processes by deciphering the hidden codes behind the intersections of multi-modal data.
The CRUK Convergence Science Centre is committed to using Data Science to enable discoveries in the fight against cancer. To this aim, we wish to unite cancer researchers and mathematicians from across the Institute of Cancer Research and Imperial College London in the same room.
Are you a cancer researcher or clinician in the possession of substantial multi-modal datasets?
Are you a biomathematician, statistician, bioinformatician, or machine learning specialist with experience in innovative solutions for multi-modal dataset analyses?
|Discovery Research - Cancer biology
|Discovery Research - Biomathematics
|Clinical Studies - Part 1
|Clinical Studies - Part 2
Confirmed flash talk speakers:
Professor Trevor Graham, Deputy head of the Division of Molecular Pathology and Director of the Centre for Evolution and Cancer at the Institute of Cancer Research.
“Using maths to make sense of cancer genome evolution”
Professor Chris Bakal, Team Leader in the Division of Cancer Biology at the Institute of Cancer Research.
“The Centre for the Development of AI-based Multimodal Diagnostic Tools at the ICR”
Professor Luca Magnani, Chair in Cancer Adaptation and Evolution, Department of Surgery & Cancer, Imperial College London.
“Modelling survival dynamic of ER+ breast cancer cell”
Professor Udai Banerji, Team Leader in the Division of Cancer Therapeutics and Deputy Director of the Drug Development Unit at the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust.
“Understanding the role of fibroblasts in cancer evolution”
Dr Vahid Shahrezaei, Reader in Biomathematics, Department of Mathematics, Imperial College London.
“Analysis and modelling using single cell transcriptomics data”
Dr Ed Cohen, Reader in Statistics, Department of Mathematics, Imperial College London.
“Statistical methods for biological image analysis”
Dr Barbara Bravi, Lecturer in Biomathematics, Department of Mathematics, Imperial College London.
“Machine learning tools for immunotherapy design”
Professor Rakesh Heer, Chair in Urology, Department of Surgery & Cancer, Imperial College London.
“Engineering prostate cancers and modelling heterogeneity”
Professor Richard Houlston, Head of the Division of Genetics and Epidemiology at the Institute of Cancer Research.
"Deciphering the dark matter of cancer"
Dr Maggie Cheang, Team Leader in the ICR-CTSU, Division of Clinical Studies, at the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust.
“Big data and multi-omics technologies in clinical trials”
Professor Johann de Bono (and team), Head of the Division of Clinical Studies and Director of the Drug Development Unit at the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust.
“Mathematical challenges in analysing circulating tumour DNA low pass whole genome sequencing and patient outcomes”
“Challenges in hyperplex tumour immunohistochemistry image analyses”
Professor Rosalind Eeles, Team Leader in the Division of Genetics and Epidemiology, co-founder of the Early Diagnosis & Detection Centre at the Royal Marsden NHS Foundation Trust and the Institute of Cancer Research.
“Opportunities for new approaches in risk stratification in prostate screening”
Professor Brendan Delaney, Chair in Medical Informatics and Decision Making, Department of Surgery & Cancer, Imperial College London.
“Creating a Learning Health System for cancer detection in primary care”
Please note: This workshop is exclusively available to colleagues from the Institute of Cancer Research, the Royal Marsden, Imperial and Imperial College Healthcare. Due to space limitation, only one postdoctoral fellow or one PhD student will be admitted per lab.