IMMUNE ALGORITHMICS

CONNECTing with THE LOCAL COMMUNITY AT READING

5/17/2019

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 by the University of Reading.

OIA MANIFESTO TO END ALL (PREVENTABLE) HUMAN DISEASEs, TODAY!

5/8/2019

WHAT WOULD WE DO WITH 1 BILLION DOLLARS?

At Oxford Immune Algorithmics (OIA) we feel, and firmly believe, that it is our obligation to do our best to bring the tools and methods that we think are in the current realm of technology and science to fight human diseases. We believe that most, if not all, diseases are curable if detected soon enough and that current technological tools and science can deliver this goal not sometime in the future, but today!

Unfortunately, human priorities are often upside down, we just saw a Hollywood movie break records last month making 1 billion USD in only a week and some people contributing up to 500 USD according to some sources for a single cinema ticket for the same movie. With 1 billion USD, OIA would have been able to distribute devices to about 20 million households and cover about 100 million people with state-of-the-art AI-based device to monitor health that would have a good chance to end some of the greatest diseases that humanity has suffered such as cancer and antibiotic resistance which if not solved can send us back to the Middle Ages.

At a rate of 100 million people a week we could cover the entire world population in about a year. But even a 1% of that would produce enough data and traction to significantly improve human condition and probably crack cancer and other top causes of death. That money, however, is channeled for to other places and not where may mean more and have a more lasting impact. We also know how politicians, sportsmen and actors are given extraordinare public and media attention but not so to scientists who may be losing the fight against mysticism and disinformation. We can see how even diseases that were considered under control or erradicated are making a comeback due to political regression.

Unfortunately, we can do very little to dictate or influence human's priorities when it comes to what people decide to fund. However, we have assembled a small but strong team that combines decades of academy and industry experience capable of transforming healthcare with state-of-the-art technology and science that we have introduced and continue to develop.

WHAT CAN OIA DO TO HELP SOLVE WORLD CHALLENGES

Current medicine relies heavily on what overburden medical staff can do. Today, medicine can be characterised as driven mostly by what we lack of: doctor's time, patient's data, new approved drugs, lower-cost machinery, etc. We need to change this model. More precise and better quantitatively and qualitatively objective diagnostic and prognosis is possible but we require to get it right and get it done. Current machine learning (ML) methods can help, and can accurately, profile diseases and even sometimes predict patient progress and outcomes. However, some of these AI methods are often not suitable for medical purposes because they do not explain why some selected features or markers may make sense in practice or why a particular prediction is made instead of another. Take as an example that of classifying dogs and cats. A black-box ML approach may do a perfect job but when you dig a bit further you may found out that the feature separating dogs from cats according to your ML application is that all pictures of dogs were taken outdoors, and so ML found that grass and clouds were the best markers for classifying dogs getting it right 100% of the time.

While medicine is still far from using even basic AI, the lack of explanations and generative models about which features and causes drive the observed data and results may hinder the adoption of these technologies to make proper diagnoses and decisions based on cause and effect. This problem currently prevents scientists to understand the true causes of natural phenomena from first principles. We seek to overcome these limits by putting brilliant minds and machines together in harmony to deliver a new kind of model-based AI rooted in the research we have performed at the best universities (the University of Oxford, and the Karolinska Institute--the institution that awards the Nobel Prize in Physiology or Medicine).

WANTED. VISIONARIES AND REVOLUTIONARIES BUT ONLY IF COMMITTED

We have built a small but committed team: risk takers, and doers; and we try to avoid the bluffers. At OIA we aim at understanding key health markers in a vertical fashion to provide each patient with their own cellular and, eventually, molecular deep temporal profile, to help us help them identify causes and effects in time for super early detection by using non-traditional model-driven machine learning suitable for medical exploration that OIA holds and continues to develop. This is how OIA plans to change medicine, healthcare, and ultimately the human condition.

We've set out on a journey to revolutionise healthcare, bringing it from the equivalent of the dial-up to fibre optic by radically increasing the way in which data is generated, understood, and exploited. There are some different paths that may be taken, and we may sometimes take diversions, but you can help us set it right and achieve our goals faster by contributing to our cause in investment or kind, as a volunteer or as an ambassador. If our vision resonates with yours and you feel like sharing values with us you should join us and help us achieve our goals.

OIA INVITED AS ACADEMIC PARTNER TO COGX IN LONDON, THE FESTIVAL OF AI AND EMERGENT TECHNOLOGIES

4/10/2019

A three day festival of events on 10-12 June, 2019.

OIA INVITED TO the global ai & big data world EXPO in london, u.k. TO DELIVER A TALK ON CAUSAL MACHINE LEARNING IN HEALTHCARE

3/9/2019

Invited by the organisers, Dr. Zenil (CEO) and OIA presented our research on AI for medicine at the AI, Big Data & IoT World Expo at the Olympia Exhibition Centre on the 25th April in London, U.K.

Representing OIA attended the expo Jürgen Riedel (CTO) and Mariana González (Quality Manager) and Jesper Riedel.

we presented BEFORE MORE THAN 600 DATA GEEKS at BMW's IT centre in munich, germany

3/9/2019

We were honoured 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 Emil Melikov (Software Development Director) from OIA attended the conference and were instrumental in its organisation.

OIA's director, Dr. Zenil, presenting at BMW's IT headquarters in Munich, 9 March 2019

SUCCESSFUL PRESENTATION AT OUR 1K PEOPLE GROUP UK-AI Innovation IN london, U.K.

1/30/2019

We had a successful meeting with our >1K people group (UK-AI Innovation) 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 UK-AI Innovation 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.

NEWly PUBLISHED AND ACCEPTED PAPERS