About this event

  • Date and time Wed 24 Nov 2021 from 12:00pm to 4:45pm
  • Location Online
  • Organised by Medical Genetics

This half-day webinar aims to teach doctors the principles and emerging applications of Artificial Intelligence in the specialty of Genomic Medicine. Join world-renowned experts as they lead exciting discussions exploring the intersection between Artificial Intelligence and Genomic Medicine.

Experts leading the panel discussions include Dr Augusto Rendon, Chief Bioinformatician at Genomics England, Professor Pearse Keane, Professor of Artificial Intelligence Medicine at UCL, Dr Stephen Kingsmore, President and CEO of Rady Children’s Institute for Genomic Medicine, and Professor Mihaela van der Schaar, Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge.

During this webinar you will:

  • Discover the underlying principles of artificial intelligence, machine learning, and deep learning by artificial neural networks
  • Understand the applications of computer vision in Genomics Medicine
  • Learn the applications of natural-language processing in Genomic Medicine
  • Understand other applications of artificial intelligence in omics-based approaches 

A CPD certificate with 1 CPD credit will be issued to those joining each webinar live and will be automatically issued after 7 days to those who watched the webinar live in its entirety. Those who watch the webinar on-demand will receive a CPD certificate 30 days after the webinar has gone live.  

Join in the conversation online using #RSMLive
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Registration for this webinar will close 2 hours prior to the start time. You will receive the webinar link 2 hours before the meeting. Late registrations will not be accepted. 

Key speakers

Augusto Rendon

Augusto Rendon

Chief Bioinformatician, Genomics England

Speaker's biography

Augusto holds a degree in Physics from the Universidad de los Andes, Bogota, Colombia. He undertook his PhD at the University of Toronto in the Department of Medical Biophysics. He then moved to the University of Cambridge to pursue postdoctoral work in computational biology and statistical genomics, reaching the level of Principal Research Associate. Since 2014 He has worked at Genomics England, initially as Director of Bioinformatics – now Chief Bioinformatician. There, he leads the bioinformatics and data sciences functions, with a team of about 60 genomic data scientists, bioinformaticians, engineers and curators. He has overseen the establishment of the pipelines to analyse and manage all genomic data for the UK 100,000 genomes project and the NHS Genomic Medicine Service. Together with his team, he has designed and implemented the clinical interpretation systems that return findings to patients, with special care such that knowledge accumulated through this process is best exploited to improve patient care and enhance discovery – thus creating a learning system in genomic medicine. He is husband, father of two wonderful kids, two cats and a dog.

Pearse Keane (1)

Professor Pearse Keane

Professor of Artificial Medical Intelligence, University College London Institute of Ophthalmology and Consultant Ophthalmologist, Moorfields Eye Hospital NHS Foundation Trust

Speaker's biography

Pearse Keane is Professor of Artificial Medical Intelligence at UCL Institute of Ophthalmology, and a consultant ophthalmologist at Moorfields Eye Hospital, London. He is originally from Ireland and received his medical degree from University College Dublin (UCD), graduating in 2002. In 2016, he initiated a formal collaboration between Moorfields Eye Hospital and Google DeepMind, with the aim of developing artificial intelligence (AI) algorithms for the earlier detection and treatment of retinal disease. In August 2018, the first results of this collaboration were published in the journal, Nature Medicine. In May 2020, he jointly led work, again published in Nature Medicine, to develop an early warning system for agerelated macular degeneration (AMD), by far the commonest cause of blindness in many countries. In October 2019, he was included on the Evening Standard Progress1000 list of most influential Londoners (https://www.standard.co.uk/news/the1000) and in June 2020, he was profiled in The Economist (https://www.economist.com/technology11950302.1 quarterly/2020/06/11/the-potential-and-thepitfalls-of-medical-ai). In 2020, he was listed on the “The Power List” by The Ophthalmologist magazine, a ranking of the Top 100 most influential people in the world of ophthalmology (https://theophthalmologist.com/powerlist/2020).

Dr Stephen Kingsmore

Dr Stephen Kingsmore

President and Chief Executive Officer, Rady Children’s Institute for Genomics Medicine

Speaker's biography

Dr Stephen F Kingsmore is the President and Chief Executive Officer of Rady Children's Institute for Genomic Medicine where he leads a multi-disciplinary team of scientists, physicians and researchers who are pioneering the use of rapid Whole Genome Sequencing to enable precise diagnoses for critically-ill newborns. Among his achievements, Dr Kingsmore holds the Guinness World Record for achieving the fastest molecular diagnosis using whole genome sequencing in just 19.5 hours. Before being selected to lead RCIGM, he was the Dee Lyons/Missouri Endowed Chair in Genomic Medicine at the University of Missouri-Kansas City School of Medicine and Director of the Center for Pediatric Genomic Medicine at Children's Mercy Hospital, Kansas City. Dr Kingsmore received MB ChB BAO BSc and DSc degrees from the Queen's University of Belfast. He trained in clinical immunology in Northern Ireland and did residency in internal medicine and fellowship in rheumatology at Duke University Medical Center.

Professor Mihaela van der Schaar

John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine, University of Cambridge

Speaker's biography

Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge, a Fellow at The Alan Turing Institute in London, and a Chancellor’s Professor at UCLA. In addition to leading the van der Schaar Lab, Mihaela is founder and director of the Cambridge Centre for AI in Medicine (CCAIM). Mihaela was elected IEEE Fellow in 2009. She has received numerous awards, including the Oon Prize on Preventative Medicine from the University of Cambridge (2018), a National Science Foundation CAREER Award (2004), 3 IBM Faculty Awards, the IBM Exploratory Stream Analytics Innovation Award, the Philips Make a Difference Award and several best paper awards, including the IEEE Darlington Award. Mihaela is personally credited as inventor on 35 USA patents (the majority of which are listed here), many of which are still frequently cited and adopted in standards. She has made over 45 contributions to international standards for which she received 3 ISO Awards.

Agenda

View the programme

An introduction to artificial intelligence in genomic medicine

Dr Alexander T Deng, Fellow, Clinical Artificial Intelligence and Registrar, Clinical Genetics, Guy’s and St Thomas’s NHS Foundation Trust

Session one: A vision for artificial intelligence in genomics

Chair: Dr Alexander T Deng

Genomics and artificial intelligence: Is the rubber finally hitting the road?

Augusto Rendon, Chief Bioinformatician, Genomics England

Computer vision-assisted facial phenotyping

Dr Martin Atta Mensah, Physician and Digital Clinical Scientist, Institute of Medical Genetics and Human Genetics, Charité – Universitätsmedizin Berlin and Berlin Institute of Health

Computer vision in the diagnosis of genetic eye disease

Professor Pearse Keane, Professor of Artificial Medical Intelligence, University College London Institute of Ophthalmology and Consultant Ophthalmologist, Moorfields Eye Hospital NHS Foundation Trust

Panel discussion
Break

Session two: Next generation genetic diagnosis

Chair: Dr Alexander T Deng

How artificial intelligence powers the fastest whole genome sequencing pipeline on earth

Dr Stephen Kingsmore, President and Chief Executive Officer, Rady Children’s Institute for Genomics Medicine

Digital pattern matching of rare diseases in medical records

Dr Will Evans, Clinical Lead, Mendelian, General Practitioner and Honorary (Clinical) Associate Professor, University of Nottingham

Artificial intelligence - driven genomic variant interpretation at Congenica

Sandro Morganella, Head of Artificial Intelligence, Congenica

Panel discussion
Break

Session three: Ome sweet ome

Chair: Dr Alexander T Deng

Self-supervised learning for genomics

Professor Mihaela van der Schaar, John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine, University of Cambridge

Artificial intelligence at GlaxoSmithKline

Dr Kim Branson, Senior Vice President and Global Head of Artificial Intelligence and Machine Learning, GlaxoSmithKline

Evolution of artificial intelligence methods in facilitating genomic and personalised medicine

Dr Anguraj Sadanandam, Reader in Stratified and Precision Medicine, Institute of Cancer Research

Panel discussion
Close of meeting

Location

Online

Registration for this webinar will close 2 hours prior to the start time. You will receive the webinar link 2 hours before the meeting. Late registrations will not be accepted. 

Special rates for difficult times 
The RSM wishes to offer healthcare professionals continued learning opportunities during the coronavirus pandemic. The RSM’s weekly COVID-19 Series webinars remain free of charge, while there will be small charges to register for other online education. These fees will enable the RSM to continue its programme of activities and will apply during the course of the pandemic.

Webinar recordings will be available for registered delegates up to 30 days after the live webinar, via Zoom. The link will be sent 24 hours after the webinar takes place. 

This webinar will be recorded and stored by the Royal Society of Medicine and may be distributed in future on various internet channels.  

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