APRIL 21 - MAY 15, 2021
This hackathon is an AI-driven tribute to the healthcare sector – hosted and organized by Stratiteq, in partnership with Microsoft. The challenges will be presented by leading Healthcare Institutions across Europe.Hackathon platform
Maybe you have developed solutions with elements of AI or are full of ideas on how healthcare solutions could be improved. Maybe you are curious about healthcare challenges and eager to solve them. If so, this hackathon could be for you.
In today’s world, healthcare is facing new and unprecedented challenges. At the same time, technology has never played such a significant role when it comes to assisting healthcare professionals and their patients.
This hackathon is an AI-driven tribute to the healthcare sector – hosted and organized by Stratiteq, in partnership with Microsoft. The challenges will be presented by leading Healthcare Institutions across Europe.
We anticipate that these participating institutions will present challenges that, on an overall level, are about making it easier to collect, analyze and visualize data. Everything that is essential to make the right decisions, quickly.
We are humbled by the insight that a journey towards personalized, predictive, preventive and participatory healthcare is long and complex. It requires deep understanding across healthcare constituencies of how AI systems can augment humans’ capabilities. But we should not be intimidated.
This hackathon is about coming up with solutions. Maybe it is about doing more of the same things or throwing the rule book out and trying completely new and different approaches. Bring some AI and show us the hack! The jury will be tough but fair.
Developers of all background and skills can register to participate in this hackathon. Your registration will be handled as an expression of interest, to be reviewed by the Hackathon team. Those with proven track records will be approved to participate.
The choice of technology is optional. Although we take the opportunity to inform you that temporary Microsoft Azure passes will be available.
Grab the rod of Asclepius and walk to the registration page.
Healthcare does not stand still.
Live stream panel debate "How will AI change healthcare in the next years?" took place online on April 7th at 6pm CEST. The panel debate featured experts from hackathon partners (NVIDIA, SAS, Women in AI, Microsoft for Startups) as well as partnering hospitals and organizations.
Join us for expert panel "Open Data & Data Collaboratives – to tackle the COVID-19 challenge" on April 14th at 6pm CEST. The panel feature experts from hospitals and leading healthcare institutions across Europe, as well as Massachusetts Institute of Technology and Microsoft.
In close collaboration with some prominent Healthcare Institutions across Europe, we can present three main areas to choose from. For each area there will be different use-cases describing real challenges. Highly relevant challenges.
Medical images are very important in the diagnostic phase of many diseases, and therefore leveraging AI tools to help clinicians in “reading” clinical images can dramatically increase the efficiency of the process, as well as its accuracy. We would like to see how AI can help extracting information from medical images that represent a pathological tissue or an organ, for example by leveraging the open-source InnerEye Deep Learning Toolkit or with use of NVIDIA Clara Imaging toolkit.
To be able to predict what will happen in the future, to both an individual patient or the population, clinicians need to analyze and combine a huge variety of data, both structured and unstructured. We would like to see for example how it’s possible to obtain predictive models of evolution of the disease, epidemiological models, information on the response to the various treatments applied, knowledge of virus for the creation of a vaccine, and sociodemographic data on the impact on the population of the covid-19 virus, or predict the likelihood of a rare disease.
Patients often struggle to understand their medical reports because they don’t have the necessary knowledge to understand the terminology. We would like to see how technology can help in simplifying the complexity of medical terminology and turn it into everyday language, for example by taking the Medical Jargon Buster project to the next level.