Oxford Immune Algorithmics & Austin Vita Invite You To ‘AI In Healthcare’

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Bringing people interested in closing the gap between academia and industry together, and in cutting-edge science and technology solutions, we at Oxford Immune Algorithmics with Austin Fraser and Austin Vita are organizing the AI in Healthcare event.

Our Chief Medical Officer, Dr. Kourosh Saeb-Parsy, video invitation to our event
‘AI in Healthcare’

At OIA we believe that automation is not about replacing humans but about scaling intelligence (machine and human) to help healthcare organisations and medical professionals to deal with real human challenges today, such as:

  • Improving Quality of Healthcare
  • Reducing Spend while Optimizing Revenue
  • Increase Operational Efficiencies

New technologies that harness artificial intelligence (AI) and machine learning (ML) present huge opportunities to transform healthcare, improve the quality of people, and help health professionals.

Followed by an introduction on the ‘limitations, challenges and the future of AI’ by Dr. Hector Zenil (Karolinska Institute, Karolinska Hospital and Oxford Immune Algorithmics), a panel discussion on ‘AI in healthcare’ will be moderated by Dr. Kourosh Saeb-Parsy (Reader of Transplantation at the University of Cambridge, NHS surgeon and Chief Medical Officer of Oxford Immune Algorithmics).

Our panelists are experts in the UK in the areas of healthcare and AI, from government, industry and academia. The discussion will centre around the following questions:

  • How can AI and ML help the NHS and its current challenges?
  • Is the type of AI and ML needed in clinical medicine different from other AIs?
  • How can AI and ML adoption be accelerated?
  • Who should be the direct customer of AI in healthcare today? The patient or the medical professional?
  • What is the future of healthcare in the next 10, 50 and 100 years?

Panelists

Dr. Kourosh Saeb-Parsy is Chief Medical Officer at Oxford Immune Algorithmics Ltd. MD & PhD in Neurosciences (Cambridge), NHS Transplant Surgeon, a University Reader & Leader of his own lab at the University of Cambridge (specialised in immunogenicity of regenerative cellular therapies) has over 15 years experience in biotech companies, director of the Cambridge In Vivo Assessment Platform & the Cambridge Biorepository for Translational Medicine.

Prof. Slawomir Nasuto is a Deputy Research Lead of the Biomedical Sciences and Biomedical Engineering Research Division within the School of Biological Sciences at the University of Reading. Prof Nasuto heads the Brain Embodiment Laboratory, an interdisciplinary facility within the School of Biological Sciences comprising two experimental laboratories performing research in Brain Computer Interfaces and cell cultures, and using complex systems science approaches to characterise the resulting data. His research on phase synchronisation, functional connectivity and complex evolving networks informs, and in turn benefits from, interrogating cognitive processes and more directly nervous system. He is interested in the use of BCI and neurofeedback for therapeutic applications and to affect human behaviour, as well as wider applications of complex systems science, swarm intelligence and machine learning to uncover complex relationships hidden within data. He published over 180 research articles in books, journals and international peer-reviewed conferences in the related areas.

Geoff Keeling is a Research Assistant at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge. He is also a PhD candidate in the Philosophy Department at the University of Bristol. Geoff is interested in the ethics of artificial intelligence, and how we can make ethical decisions when we are uncertain about the consequences of our actions.
His talk examines what informed consent might look like in a future containing artificial doctors, and considers the implications for algorithmic decision-making in other areas such as finance and advertising.

Dr. Weizi (Vicky) Li, is Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. Her research focuses on digital health, integrated system, artificial intelligence and machine learning applications in healthcare. She is a Fellow of the Chartered Institute of IT (FBCS). Her research of integrated clinical pathway system has been successfully commercialised and she has been scientific advisor of the company who provide mobile healthcare and data platform for 3000 hospitals in China. Her research impact of improving healthcare quality and efficiency using data platform and AI is recognised as one of winners of O2RB Excellence in Impact Awards in 2018, supported by University of Oxford Economic Social Research Council Impact Acceleration Account. Her research with NHS on “Applications and Implications of Machine Learning: Understanding and Predicting Healthcare Resource Usage and Patient Risk for Improved Population Engagement” has been awarded Economic Social Research Council grant in 2018. Her other research projects in healthcare are funded by private companies, NHS and Innovate UK.

Speakers

Dr. Hector Zenil is a mathematician and holds degrees in Logic (MPhil, Paris), Computer Science (PhD, Lille), & Logic & Epistemology (PhD, Paris). He has over 20 years experience in academia & industry. An authority in complexity & causality with over 100 papers published as a Senior researcher & faculty member of the University of Oxford, & as lab leader at the Karolinska Institute (awarding institution of the Nobel Prize in Medicine). He has over 100 paper in the top journals of DNA research, machine intelligence, bioinformatics, physics and complexity.

Dr Jurgen Riedel is a physicist (PhD, Germany) with interests in and contributions to classical field theory, quantum gravity, & cellular automata. Member of the board of directors of the scientific Paris-based lab LABORES & its Algorithmic Nature Group. He has over 20 years experience in Business Intelligence, data visualisation & data science working for large companies such as UBS, Citibank, Volkswagen, & Eon.

Venue
In a prime location next to Reading’s rail station at the Thames Tower (floor 12), Reading RG1 1LX (30 min from Oxford and 25 min from London’s Paddington by train)

By train, the venue is literally 1 min away from Reading’s rail station. By car, you can park at the NCP rail station parking place and other parking facilities around in the city centre at a discounted (and very cheap) price after 6 PM (behind the Thames Tower building).

REGISTRATION

Please sign up for free at:
https://www.eventbrite.co.uk/e/ai-in-healthcare-tickets-79127214629
(limited to only 150 people)The event will be streamed to the U.S. and Germany. Our CTO, Dr. Jürgen Riedel, invites the German crowd

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