Introduction
As part of the Turing's Clinical AI Interest Group, we have formed supra-interest groups in different clinical specialties to bring together clinicians and AI experts in a more focused manner.
The current supra-interest groups are:
- Anesthetics and Intensive Care
- Medical imaging and computer vision
- AI for Women's Health
- Pathology
This event is the third meeting of the AI for Women's Health Group. This group is being lead by Bianca Schor with additional help from the organisers of the Clinical AI Interest Group.
The AI for women's health group is an interdisciplinary community (e.g. clinicians, academics, data scientists, designers, health care professionals, students etc) interested in advancing women's health and how to leverage AI to do so.
The AI for women's health group's goals include:
- Building an interdisciplinary and diverse community of individuals working or interested to work in women's health with (or without) AI
- Bringing visibility to research on women's health and how AI can help to do so
- Facilitating collaborations and bringing more people to the field
- Offering relevant events & trainings, and sharing resources with the community (mostly online for now)
About the event
This is the third meeting of the AI for Women's Health Group.
In this meeting, we will have a talk from:
- Dr Holly Tovey, Professor Maggie Chon U Cheang and Xixuan Zhu from The Institute of Cancer Research Clinical Trials and Statistics Unit (ICR-CTSU) Integrative Genomic Analysis in Clinical Trials, will talk about "Integrative analyses of multi-omics data in trials to predict treatment response".
Dr. Maggie Cheang develops integrative classifiers for tumour subtypes and determines their clinical utility in predicting sensitivity to therapeutic agents in phase II and III clinical trials. She co-invented the 50-gene-based machine learning driven classifier for the intrinsic subtypes of breast cancer, commonly known as PAM50, which is currently licensed as Prosigna®. She has extensive multidisciplinary experience in cutting-edge fields including biomedical sciences, cancer genomics (bioinformatics), pathology and clinical trials.
Dr Cheang currently leads a multidisciplinary research group of statistical, computational and translational scientists, strategically within the Clinical Trials and Statistics Unit at The Institute of Cancer Research, to develop novel and efficient computational analytical methods for the application of high-dimensional multi-omics data generated from bio-specimens collected in clinical trials. In this talk, she will briefly describe the research approach her group employs and give an overview of the research program, followed by two short presentations by her research members. Dr. Holly, a recent graduate, will present her PhD work on identifying biomarkers in Triple Negative Breast Cancer. Xixuan Zhu, a senior PhD student, will discuss his work on integrative spatial biology with bulk genomics data.
Register now
Please register for this event using this link: https://turing-uk.zoom.us/meeting/register/tJMkfuCvpzgtHtQneBRvedPiOppogrpLeya8
