BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Talks.cam//talks.cam.ac.uk// X-WR-CALNAME:Talks.cam BEGIN:VEVENT SUMMARY:Cambridge MedAI Seminar Series - Raj Jena and Yizhou Wan DTSTART:20241029T120000Z DTEND:20241029T130000Z UID:TALK223456@talks.cam.ac.uk CONTACT:Ines Machado DESCRIPTION: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 comp rehensive overview of the latest developments in this rapidly evolving fie ld. As AI continues to revolutionize healthcare\, we believe it is essenti al to explore its potential and discuss the challenges and opportunities i t presents.\n\nThe seminar series will feature prominent experts in the fi eld who will share their research and insights on a range of topics\, incl uding AI applications in disease diagnosis\, drug discovery\, and patient care. \n\nEach seminar will involve two talks\, followed by an interactive discussion with a light lunch from Aromi! We hope that this seminar serie s will be a valuable platform for researchers\, practitioners and students to learn about the latest trends and explore collaborations in the exciti ng field of AI in Medicine.\n\nThis month's seminar will be a joint event with the *Brain Cancer Virtual Institute (BCVI)*\, an institute within the CRUK Cambridge Centre. The BCVI has evolved from the CRUKCC Neuro-Oncolog y Programme and is a network of researchers and clinicians in Cambridge wo rking to improve outcomes for brain tumour patients.\n\nThe event will be held on *29 October 2024\, 12-1pm at the Jeffrey Cheah Biomedical Centre ( Main Lecture Theatre)\, University of Cambridge and streamed online via Zo om*. A light lunch from Aromi will be served from 11:45. \n\nThis month wi ll feature the following talks:\n\n*Generative AI in Radiotherapy – Gimm ick or Game Changer? - Prof. Raj Jena\, Professor of AI in Radiation Oncol ogy and Honorary Consultant in Clinical Oncology\, University of Cambridge Department of Oncology and Cambridge University Hospitals*\n\nRaj Jena is a Professor of AI in Radiation Oncology based at the University of Cambri dge Department of Oncology and Cambridge University Hospitals. His researc h interests focus on clinical image processing\, data science and machine learning applications. Raj is the chief Investigator for Hamlet.rt\, a mul ti-centre radiomics study in radiation therapy open at over 12 sites over the UK and Tata medical centre in Kolkata. He is a member of the Royal Col lege of Radiologists’ AI in Clinical Oncology (AICO) committee and is Di rector of the Oncology Translational Research Collaboration (O-TRC) at the National Institute for Healthcare Research.\nRaj enjoys working at the in terface between the clinical\, academic and commercial sectors. Following successful collaborations with Siemens and other imaging companies\, he wo rked a clinical consultant to the InnerEye team at Microsoft Research. Her e Raj had the opportunity to work with thought leaders in medical image an alysis\, and subsequently led the NHS AI lab funded OSAIRIS project\, whic h developed the first cloud based open source imaging AI solution to be de ployed at Addenbrooke’s Hospital.\nRaj is now applying his knowledge of machine learning and image processing to the STELLA project\, an internati onal collaboration developing a novel smart radiotherapy unit for low- and middle-income countries.\n\n*Abstract*: Generative AI models have demonst rated amazing capabilities in the creation of synthetic data\, but how use ful can they be in discovery science? I will discuss the application of a generative machine learning model to a problem relating to modelling late effects of radiotherapy in the brain.\n\n*Utilising AI for outcome predict ion in glioma surgery: challenges and opportunities - Yizhou Wan\, Clinica l Research Fellow and Honorary Speciality Registrar\, Brain Tumour Imaging Lab\, Division of Neurosurgery\, Department of Clinical Neurosciences\, U niversity of Cambridge*\n\nYizhou Wan is a Neurosurgery Resident with an i nterest in how we can use advanced imaging methods to detect tumour effect s on the brain and optimise surgical and non-surgical treatments for brain cancer. His PhD studies the impact of surgery on cognition and tumour net works using advanced neuroimaging. Prior to starting doctoral training at the University of Cambridge\, Yizhou studied Medicine at Imperial College London followed by Academic Foundation Training in London and Neurosurgery training in Oxford. His research is funded by a Cancer Research U.K\, Cli nical Research Training Fellowship and Royal College of Surgeons England R esearch Fellowship.\n\n*Abstract*: High-grade glioma is the most common pr imary brain cancer. Cognitive symptoms are the commonest neurological defi cits reported by patients. They have a significant impact on quality of li fe and reduce survival. Cognition depends on brain network functioning. Gl iomas have been shown to integrate into neuronal circuits and disrupt whol e-brain connectivity. Tumours interact with brain networks to disrupt cogn ition and promote tumour growth. My PhD studies the impact of surgery on c ognition and tumour networks. By using diffusion MRI we can identify imagi ng markers associated with tumour-related injury and computationally model the effects of surgery on brain function. I hope to predict preoperativel y the effect of surgery on postoperative cognition and survival\, by treat ing glioma as a whole-brain disease. This will facilitate shared-decision making between surgeons and patients to formulate personalised resections which preserve maximise survival. I will also discuss the challenges invol ved in applying AI to clinical imaging datasets and current areas where we may be able to make progress in translating AI to the clinic and Operatin g room.\n\nThis is a *hybrid event* so you can also join via Zoom:\nhttps: //zoom.us/j/99050467573?pwd=UE5OdFdTSFdZeUtIcU1DbXpmdlNGZz09\nMeeting ID: 990 5046 7573 and Passcode: 617729\n\nWe look forward to your participatio n! If you are interested in getting involved and presenting your work\, pl ease email Ines Machado at im549@cam.ac.uk\n\nFor more information about t his seminar series\, see: https://www.integratedcancermedicine.org/researc h/cambridge-medai-seminar-series/\n LOCATION:Jeffrey Cheah Biomedical Centre (Main Lecture Theatre)\, Universi ty of Cambridge END:VEVENT END:VCALENDAR