Abstract

The Cancer Research UK Cambridge Centre and the Department of Radiology at Addenbrooke’s are pleased to announce a seminar series on Artificial Intelligence (AI) in Medicine, which aims to provide a comprehensive overview of the latest developments in this rapidly evolving field. As AI continues to revolutionize healthcare, we believe it is essential to explore its potential and discuss the challenges and opportunities it presents.

The seminar series will feature prominent experts in the field who will share their research and insights on a range of topics, including AI applications in disease diagnosis, drug discovery, and patient care. Each seminar will also include a Q&A session to facilitate discussion and exchange of ideas among participants.

The next seminar will be held on the 24th of October 2023, 11am at the School of Clinical Medicine (Seminar Room 10), University of Cambridge and will feature:

Title: “ScanXm – A new software tool for the visualization, annotation, and segmentation of biomedical images.” – Dr. Tristan Whitmarsh, Institute of Astronomy, University of Cambridge

With a master’s degree in computer graphics, Tristan made a switch to the field of Medical Image Analysis while working towards a PhD degree, which he was awarded in 2012. He subsequently joined the Department of Engineering at the University of Cambridge as a postdoctoral researcher under the supervision of Prof. Graham Treece. He was awarded a University of Cambridge/Wellcome Trust Junior Interdisciplinary Fellowship at the Department of Medicine in 2015, a Canon Foundation Fellowship at NAIST in 2016, and an Oxford Biodesign fellowship in the following year. He subsequently joined the group of Prof. Florian Markowetz at Cancer Research UK to work on convolutional neural networks for the automatic segmentation of the tumor vasculature microenvironment. Tristan is currently at the Institute of Astronomy working on the IMAXT project of Cancer Research UK led by Dr. Nicholas Walton.

ScanXm is a newly released software tool developed by Tristan Whitmarsh at the University of Cambridge. It aims to provide a simple and user-friendly interface for the annotation of 2D and 3D medical and biomedical images. ScanXm also includes several deep learning modules for image processing and the automatic segmentation of various organs and tissue types. Notably, this software requires no Python coding, will run without an expensive GPU , and does not use cloud computing, thus keeping your confidential patient data safe. Through a recent collaboration with NVIDIA , ScanXm now seamlessly integrates with MONAI Label. This integration enables ScanXm to run powerful AI models such as vision transformers, both locally and on a cloud platform. Additionally, it grants access to all publicly released AI models in the MONAI Model Zoo. In this talk, Tristan will provide an overview of all the features in ScanXm, as well as providing a live demonstration.

Each session will involve two talks, followed by an interactive discussion with coffee and pastries! We hope that this seminar series will be a valuable platform for researchers, practitioners, and students to learn about the latest trends and explore collaborations in the exciting field of AI in Medicine.

This is a hybrid event so you can also join via Zoom:

https://zoom.us/j/99050467573?pwd=UE5OdFdTSFdZeUtIcU1DbXpmdlNGZz09 Meeting ID: 990 5046 7573 and Passcode: 617729 We look forward to your participation! If you are interested in getting involved and presenting your work, please email Ines Machado at im549@cam.ac.uk