Ontario Tumour Bank and Ontario Health Study: Machine learning resources and projects – Forum, September 29, 2023https://malmic.ca/wp-content/uploads/2023/07/shutterstock_1654598794-1024x683.jpg 1024 683 MaLMIC - Machine Learning in Medical Imaging Consortium MaLMIC - Machine Learning in Medical Imaging Consortium https://malmic.ca/wp-content/uploads/2023/07/shutterstock_1654598794-1024x683.jpg
The MaLMIC fall forum, hosted by Dr. Lincoln Stein, will focus on human sample and data resources for machine learning research. Dr. Dianne Chadwick will describe the Ontario Tumour Bank (OTB)’s repository of human cancer biospecimens and de-identified clinical data. Following this, Dr. Philip Awadalla will provide an overview of the Ontario Health Study (OHS) and describe research from his lab using simulation-based and machine learning tools to analyze evolution in non-recombining systems and the use of liquid biopsies to identify genetic and epigenetic markers indicative of cancer development. The presentations will be followed by questions and answers about the talks, and discussion focused on lessons learned, opportunities to collaborate, and the availability of data and biosamples from OTB and the OHS.