Next Meetup

AI in Healthcare
The theme of our meetup is AI in healthcare. Come and learn how AI is being used in healthcare from our speakers on three very interesting and diverse topics. This time we are excited to be partnering with MI Garage to bring you the best in speakers and venue. 6:00-6:30pm - Drinks & Pizza 6:30pm - Siemens Healthcare Machine Learning for Heart Surgery Heart failure affects over 40 million people globally and accounts for 1-2% of the total healthcare spend. Yet, some treatments, such as Cardiac Resynchronization Therapy, have non responder rates of between 30-50%. In this talk I will introduce the Siemens GuideCRT prototype and discuss how machine learning can play an important role in planning and guiding the delivery of cardiac therapy. I will address some of the challenges of using deep learning with limited data and when ground truth data is not available and show how we are using imitation learning to help doctors perform challenging tasks in stressful situations. Peter Mountney Dr Peter Mountney is a Program Manager and Senior Key Expert Scientist at Siemens Healthineers. His research interests lie in the fields of machine learning, medical imaging and quantum technologies. His research focuses on developing deep technology and translating it into applications. Peter carried out his PhD and post-doctoral work at Imperial College London. 7:15pm - CBAS Much like DNA, the central nervous system (CNS) is as much of an issue of big data as it is biology. The CNS sends data to our organs and limbs constantly, hence there lies potential in its malleability. If we can apply machine learning to understand what these signals mean and develop interventions to treat chronic conditions that result as a fault of the nervous system, we have the potential to revolutionise medicine and change millions of lives. Cambridge Bio-Augmentation Systems (CBAS) will discuss their current work on the largest nervous system dataset in the world, what insights they have gained, and the future of medicine and AI. Oliver Armitage Oliver Armitage is Co-Founder and Chief Scientific Officer at Cambridge Bio-Augmentation Systems. Oliver has always had a vision that the human body could be repaired or made better through augmentative technology and how that can be used to improve people’s lives. He studied for his PhD at the University of Cambridge in Bioengineering, working in the world-renowned Nanoscience Centre. CBAS has the largest neural dataset in the world and is currently running cutting edge research on applying AI to the nervous system for read and write applications. CBAS was named one of the top startups at Y Combinator’s Winter ‘17 cohort by TechCrunch and won the top prize with accelerator MassChallenge UK 2015. Oliver was recently named to Forbes 30 Under[masked]. 8:00pm - Detecting melanoma with AI Melanoma cases have quadrupled in the last 40 years. A 2014 Kings Fund report stated that there are 2 million GP appointments for skin cancer in the UK and demand is increasing, putting increasing pressure on meeting the 2 week wait guidance. Skin Analytics’ work with Royal Free Hospital suggested two-thirds of referred patients could have been dealt with in primary care. Jack will be talking about the platform Skin Analytics uses and the AI image classification approach to the clinical problem. Jack Greenhalgh is Head of AI at Skin Analytics. Skin Analytics started in 2012 with the objective of helping more people survive melanoma. Since then they have developed an AI skin cancer triage service that is as accurate as a dermatologist which evaluates dermoscopic images of pigmented lesion to screen for melanoma. He holds a PhD in computer science from the University of Bristol. 9:00pm - Hometime.

MI Garage

101 Euston Road Kings Cross · London

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    What we're about

    This is a Meetup to explore artificial intelligence and deep learning technologies. Technology domains include healthcare, biotech, medicine, transportation, finance, nanotechnology, robotics, neuroscience, information sciences and quantum computing. We will explore the impact that A.I. is having in each of these technology areas, where we are now, what we can expect over the coming years, as well as the likely impact such develoments will bring to businesses and to society as a whole. Speakers from industry and academia are invited to share their experience in developing and implementing A.I. and deep learning solutions in the real world.

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