SBME Research Seminar - Dr. Hannah Carter
Immune Checkpoint Blockade (ICB) has revolutionized cancer treatment, however mechanisms determining patient response remain poorly understood. We used machine learning to predict ICB response from germline and somatic biomarkers and studied feature usage by the learned model to uncover putative mechanisms driving superior outcomes. Patients with higher T follicular helper infiltrates were robust to defects in the class-I Major Histocompatibility Complex (MHC-I). Further investigation uncovered different ICB responses in MHC-I versus MHC-II neoantigen reliant tumors across patients. Despite similar response rates, MHC-II reliant responses were associated with significantly longer durable clinical benefit (Discovery: Median OS=63.6 vs. 34.5 months P=0.0074; Validation: Median OS=37.5 vs. 33.1 months, P=0.040). Characteristics of the tumor immune microenvironment reflected MHC neoantigen reliance, and analysis of immune checkpoints revealed LAG3 as a potential target in MHC-II but not MHC-I reliant responses. This study highlights the value of interpretable machine learning models in elucidating the biological basis of therapy responses.
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Research Seminar: Multi-Modal Ultrasound Video Analysis – Dr. Alison Noble
October 12, 2023 @ 11:00 am - 12:00 pm PDT
Multi-Modal Ultrasound Video Analysis
Dr. Alison Noble | Institute of Biomedical Engineering; University of Oxford
Event Description
In this talk Professor Noble will discuss how the emergence of machine learning/AI has been changing medical ultrasound, using examples from her group’s research on “perception ultrasound” – whereby in addition to ultrasound video, eye-gaze, probe motion and audio is captured during scanning – to highlight some of the technical advances and emerging clinical translational opportunities.
Dr. Alison Noble Biography:
Professor Alison Noble is the University of Oxford Technikos Professor of Biomedical Engineering. Her research interests sit at the interdisciplinary interface of computer vision and clinical medicine.
In recent years, her group has been at the forefront of international thinking in how to bring machine learning to ultrasound imaging working closely with clinical research groups in Oxford and overseas. This includes global health ultrasound applications research with groups in India and Africa, and pioneering research on multi-modal ultrasound and sonography data science.
Alison co-founded Intelligent Ultrasound Ltd to commercial research from her laboratory which was acquired by MedaPhor Group Plc (now called Intelligent Ultrasound Group) in 2017.
Alison is a former president of the Medical Image Computing and Computer-Assisted Interventions (MICCAI) Society, the international society in her field. She has served as a chair or member of several UK national and overseas committees. She is a current Council member and trustee of the Royal Society (the UK national academy of science) and was appointed a Foreign Secretary of the Royal Society in 2023. She was awarded a CBE for services to engineering and biomedical imaging in the King’s birthday honours list in June 2023.
Location:
Life Sciences Institute
Lecture Theatre 1001 (LSC 1001)