Promoted and streamed online worldwide and to the Austin Vita offices in Germany and the U.S., as advertised locally in Reading's giant screen at the train station, six speakers welcomed 80 attendants in an interesting evening to talk about what kind of AI and what type of ethics and responsibilities are there behind AI adoption in healthcare. Instead of only poling more positive pile to AI, the level of discussion in the event was very high and the kind of discussion we would like to see more often.
On the pictures above are our meeting ad on the giant screen followed by Dr. Hector Zenil (CEO of OIA) talk on the challenges and limitations of AI in healthcare and Dr. Kourosh Saeb-Parsy (CMO of OIA) leading the panel discussion on AI in healthcare with panelists Prof. Slawomir Nasuto, and Dr. Weizi Li from the University of Reading, and Geoff Keeling from Ethical Reading and the University of Bristol and the University Cambridge. The event was sponsored by Austin Vita and co-organised by Ethical Reading.
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 organising 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:
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:
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.
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.
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).
Please sign up for free at:
(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
Follow us by subscribing to our AI in healthcare newsletter at:
Organised in partnership with the NHSx, Intelligent Health UK is the World’s Leading AI in Medicine Summit, 5 February 2020 | London | UK
OXFORD UNIVERSITY INNOVATION SPONSORS THE PLANTING OF A TREE IN Wytham Woods IN HONOUR OF OIA'S LAUNCH
OIA's first anniversary was this past September 25th and the University of Oxford planted a 4-year old beech tree in honour of Oxford Immune Algorithmics (OIA) at the Oxford University premises in Wytham Woods in Oxford where a plaque dedicated to OIA was unveiled. The tree will be taken care of for 15 years after which the plaque will be placed on the base of the tree for the hundreds of years that the tree will hopefully live and for next generations to take care. This is an initiative to create awareness and help replant an area of the woods.
Young trees like these ones can absorb CO2 much faster than larger trees as their metabolism is faster between 4 and 15 years old. Our ambitious goal at OIA for the next 15 years is to become the leaders in healthcare technology and offer an affordable scalable solution to help cure all curable human diseases. Helping plant the tree were personnel from Oxford University Innovation and OIA, including OIA's CEO Dr. Hector Zenil. OIA is honoured to have received this distinction from the 8 startups and spinouts from Oxford University that launch in average every year.
OIA will be at the the early stage life sciences investment event to be held at Level39 in Canary Wharf, London, January 20, 2020.
On the 15-16 October 2019, OIA is attending The Global Innovation and New Technology Health Event at the Chelsea Football Club Stadium in London where it is showcased the leading health tech startups from around the world.
An application of our research in causal models in molecular biology has been published today in one of the finest journals in molecular biology, Nucleic Acids Research (Oxford). This is the first meaningful application of algorithmic complexity to experimental cell biology beyond previous methods based on statistical approaches. It strengthens our position as pioneers in the area of causal knowledge discovery and it propels us forward as a validation of our work and technology.
Our paper shows how our methods identify DNA sequences holding key information about genetic regulation.
We have been growing at an exciting rate and we have moved offices three times already only this year. We have now opened our new AI-biomedical lab this month and we are already thinking of expanding it. We have here some pictures of how the the lab looks like today.
TO BETTER DEAL WITH CAUSALITY IN MOLECULAR BIOLOGY & IMMUNOLOGY TO MAKE A REAL IMPACT IN THE FUTURE OF HEALTHCARE
We are heading to #TuringFest19 in Edinburgh this August. OIA has been invited to participate in the Turing Founders event where startups and new companies meet investors.
OIA has been invited as a VIP guest to the 3rd annual In-Memory Computing Summit Europe, on June 3 & 4, at the Park Plaza Victoria in London where we will be promoting our science and technology.
We were invited to introduce OIA and present our work on AI for healthcare at the Thames Valley Artificial Intelligence meetup organised by Barclays AI Frenzy and Innovation Catalyst, University of Reading.
OIA INVITED TO the global ai & big data world EXPO in london, u.k. TO DELIVER A TALK ON CAUSAL MACHINE LEARNING IN HEALTHCARE
Invited by the organisers, Dr. Zenil (CEO) presented our research on AI for medicine at the World Expo on AI, Big Data & IoT at the Olympia Exhibition Centre on the 25th April in London, U.K.
Jürgen Riedel (CTO), Mariana González (Quality Manager) and Jasper Riedel attended the expo, representing OIA
We were invited to present our algorithms and novel approaches to machine learning, healthcare and personalised medicine at the Datageeks Data Day 2019 sponsored by BMW, Airbus, and AID at the impressive BMW IT Zentrum (ITZ) in Munich, Germany before a crowd of 600 people. Jürgen Riedel (CTO), and Hector Zenil (CEO) from OIA attended the conference. Hector's talk can be found on video here.
OIA's CEO and Founder, Dr. Zenil, presenting at BMW's IT headquarters in Munich, 9 March 2019
We had a successful meeting with our >1K people group in East London to explain our most recent results in Artificial Intelligence and Machine Learning, their potential to transform academia and industry including healthcare, and also their current limitations and challenges. Subscribe to our group led by Oxford Immune Algorithmics (OIA).
Drs. Jürgen Riedel and Hector Zenil from Oxford Immune Algorithmics and Mark Needham from Neo4j delivering talks on the state of AI, ML, and DL, use of network representations, challenges and limitations of technology.
Signed by Oxford Immune Algorithmics, these two new papers show how we are trying to transform healthcare with science technology:
- A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction
Nature Communications (accepted) (NPG)
- Causal Deconvolution by Algorithmic Generative Models
Nature Machine Intelligence, vol 1, pages 58–66, 2019 [online]
And a video that the Nature journal prepared to explain our paper and research.