Director DayOne Initiative, Senior Project Manager ICT, Public Relations
Day One Experts: “How AI is changing healthcare from R&D to healthcare delivery”
There is currently tremendous hype and interest in Artificial Intelligence (AI) with things like speech recognition and self-driving cars. The technology has also reached Healthcare with applications in radiology and patient triage amongst others. Will AI deliver on the promise? What is needed to turn these inventions into innovations applied across the healthcare landscape? What is happening locally?
Learn more at our next DayOne Experts Event, taking place on the 25th April, 2017, starting from 18:00-21:00, at the Hochschule für Gestaltung und Kunst FHNW, Aula, 4142 Münchenstein.
The event will help participants get a handle on what AI is, how it is done, as well as real-life examples of the application of AI in healthcare. It is for people working in the field of AI or Healthcare who want to understand the opportunities and challenges of this changing field. Background and pre-reading is below.
|18:00||Introduction and update on DayOne|
|19:15||Feedback session and future work with DayOne|
|20:00||Apero and poster session with further local examples of AI in Healthcare|
Please register now, using the registration button on your top right.
If you would like to present briefly on your own AI Healthcare idea/project or company during the apero please contact thomas.. brenzikofer@baselarea. swiss
Machine learning and computer science have taken a huge leap with the advent of faster computing systems, increased access to data and application of new analytical approaches. The ability to "teach" machines to "perceive the environment" and solve problems has slowly advanced to handle more complex situations. Artificial Intelligence(AI) is now challenging humans in speech recognition, driving cars, playing strategy games, and interpreting complex and unstructured data.
This latter category has generated excitement for applications in healthcare, where recognition of complex disease and health pattern may help us all receive faster and better healthcare. AI companies in biomedical science and healthcare are tackling issues such as biomarker detection from RNA/DNA/metabolic data, assisting doctors in cancer treatment, supporting or even replacing doctors for routine patient care and acting as personal life coaches. The event will give some background and then dive into some real life applications from the local region.
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- 5 predictions for AI in 2017
- Investments in AI and Healthcare
Bios and talk detail
Ulrich Mühlner, PhD, is the founder of GrowthCube Partners LLC a firm helping translate groundbreaking ideas, discoveries, and inventions into services and products that make a real difference to people’s lives. He will give an introduction to AI and its potential in Healthcare.
Prior to founding GrowthCube Partners, Ulrich spent 7 years at Novartis working on Strategy, Business Partnerships, and Investments – particularly in the digital health / health tech space – including the “Smart Lens” with Verily and “Smart Pill” with Proteus Digital Health and real world outcomes solutions to support the game-changing heart failure drug Entresto. He studied Biochemistry in Hannover and Munich, and earned a PhD degree in Biochemistry and Molecular Biology based on his research on molecular mechanisms of blood vessel formation and signal transduction in cancer development at the Research Institute of Molecular Pathology (I.M.P.) in Vienna and spent 10 years with The Boston Consulting Group (BCG) with a particular focus on the healthcare industry.
He will give an introduction to AI in Healthcare.
Joachim Hagger is CEO and founder of 4Quant, an ETH/PSI-spinoff company that designs, plans, implements and markets medical solutions with high commercial potential for computer-aided diagnostics in radiology and nuclear medicine. These solutions stand out by their capability to interpret largest amounts of medical images. 4Quant works in a close collaboration with the University Hospital of Basel and partners with other renowned clinics, radiology and oncology centers for research, development and testing of these solutions.
Joachim is also the co-founder of two companies in software engineering. Until 2014 he has held a variety of positions at Netcetera Group (SME, 400 employees). He has more than 30 years of experience in successful IT services business and in the development of the software industry in Switzerland. He holds a master's degree in Physics at ETH Zurich.
“AI replacing the Radiologist?” : Radiology and Nuclear Medicine departments are facing massive challenges dealing with ever increasing workloads due to the exponentially increasing amounts of data to read without compromising quality of care. We will show how AI and big data methods can lead to a next generation of medical decision support systems and eventually pave the way towards integrated digital diagnostics.
Charles Till studied physics at ETH Zurich and University of Pennsylvania. During his time as a student he co-founded his first venture with Kirill Karlin . After having sold the business, Charles and Kirill co-founded Asimov Medical. Kirill Karlin studied medicine at the University of Zurich. He serves as co-founder and Chief Medical Officer at Asimov Medical.
The future of healthcare jobs - How smart machines are enabling professionals to focus on the big picture
In today’s healthcare industry there is a huge challenge in processing and analysing vast amounts of data produced on a daily basis. Unstructured medical data, such as patient healthcare records, medical questions and other written healthcare-related information goes largely unused or have to be processed manually in an often monotonous and labor-intensive process. This leads to important facts being missed and trends not being uncovered in data that is already available to an organization.Traditional computational methods are not able to perform many of these tasks. While the great strength of machines still lies in the speedy execution of predictable tasks, they lack deeper insights and automated analysis capabilities of disparate data traditionally associated with human intelligence.
In the recent years, the creation of new Deep Learning algorithms has resulted in a quantum leap in Artificial Intelligence allowing computers to mimic human-like behaviour to a degree that has never been seen before. This allows healthcare professionals to use their time more efficiently to obtain the relevant information from medical data and focusing on generating value and better outcomes.
Asimov Medical creates a personalized medical experience by transforming unstructured and disparate medical data into actionable insights.
We are developing a platform that deals with unstructured medical information with the help of AIalgorithms. Our products help hospitals gain insights into their patient populations and allow pharmaceutical companies to automate labour-intensive processes involving their unstructured data.
Our vision is to revolutionize how unstructured medical data is created and consumed by healthcare professionals in the fast-approaching era of Artificial Intelligence.
Dr. Andy Fischer, MD CEO, Medgate studied medicine before graduating in specialist studies in surgery and emergency medicine and was a physician in the Swiss emergency helicopter service (REGA) until 2006. In 1999 he founded Medgate which he has subsequently led as CEO and as a board member. In addition, he is a board member of the Abu Dhabi Telemedicine Center (United Arab Emirates) as well as Telstra ReadyCare (Australia) and numerous other mandates in healthcare internationally and in Switzerland.
He is a founding and executive member of the Swiss Society for Telemedicine and eHealth (SGTMeH) as well as President of the International Society for Telemedicine and eHealth (ISfTeH). He has been lecturing in Telemedicine at the University of Zurich since 2008.
Medgate provides easy access to medical care of the highest quality anytime, anywhere. The Medgate Telemedicine Center, Medgate Health Centers and the Medgate Partner Network work closely together and ensure that their patients receive comprehensive care.
Utz-Uwe Haus, Senior Researcher at Cray EMEA Reseach Lab, studied Mathematics and Computer Science at TU Berlin. After obtaining a Doctorate in Mathematics at University of Magdeburg he worked on nonstandard applications of Mathematical Optimization in Chemical Engineering, Material Science and Systems Biology. He lead a Junior Research Group at the Magdeburg Center for Systems Biology and was principal investigator on various EU FP7 ITN projects. After 5 years as Senior Researcher at the Department of Mathematics at ETH Zürich he is now responsible for developing the Mathematical Optimization and Operations Research group of the Cray EMEA Research Lab.
Research interests focus on parallel programming and data transfer aware scheduling problems, as well as data analytics and novel compute architectures.
Klaus Landl, Region Manager Central Europe Cray Supercomputing, studied Process Technology at TU Graz. Now he is focused on High Performance Data Analyses and Supercomputing Simulations to tackle the most challenging problems in science, engineering and business. He has an MBA from ESCP and was worked in a number of roles with a focus on DataCenters.