Wat we doen

• Our main goal is to connect healthcare with data science

Medical data is abundant and may be used to benefit the health of future patients. This comes with significant technical, administrative, legal and organisational challenges. Most importantly, healthcare professionals and data scientists do not usually understand each other very well. Or worse, they may not even know each other at all.

We intend to change that to improve medical data science and patient care. Amsterdam Medical Data Science is led by Dr. Paul Elbers (Amsterdam UMC) and Dr. Mark Hoogendoorn (VU University Amsterdam). Financial support is provided by Amsterdam UMC and VU University Amsterdam. Amsterdam Medical Data Science aims to represent healthcare professionals and data scientists interested in medical data science, in particular machine learning for medicine.

• Meetups

Please join us if you like data, medicine or both. At every meeting we will discuss everything medical data science. This includes interesting projects, papers and the latest developments. This is where doctors meet data scientists and vice versa. It is a great opportunity to learn, meet like-minded health care professionals, researchers and data scientists, get feedback on your own projects and have some fun.

Geplande evenementen (2)

Launch Event VU Campus Center for AI & Health

Online evenement

The Vrije Universiteit (VU) Amsterdam, Amsterdam UMC - location VUmc and ACTA are setting up the VU Campus Center for AI & Health. The purpose of the Center is both to fuel collaborations on and outside the VU campus and to increase the visibility of the research in the AI & Health area with the ultimate goal to improve healthcare by developing, implementing and evaluating AI technologies. Across Amsterdam the center is connected to other partners (such as the UvA, CWI, etc.) through collaboration platforms such as Amsterdam Medical Data Science and Smart Health Amsterdam and the overarching collaboration in the Amsterdam AI Coalition themed “AI:Technology for People”. To celebrate the launch of this Center, a launch event is organized with presentations of researchers in the area of AI & Health. This event is open to all with an interest in AI & Health. Please find an outline of the program below: ===================================================================== Welcome + purpose of the center (Heleen Riper (VU Psychology), Mark Hoogendoorn (VU Computer Science), Marleen Huysman (VU School of Business and Economics), and Robert de Jonge (Amsterdam UMC, Clinical Chemistry)) ===================================================================== Opening center (Chris Polman (Executive Board Amsterdam UMC) and Mirjam van Praag (Executive Board VU)) ===================================================================== Keynote talk: AutoML and interpretability: powering the machine learning revolution in healthcare (Mihaela van der Schaar, University of Cambridge) Abstract: AutoML and interpretability are both fundamental to the successful uptake of machine learning by non-expert end users. The former will lower barriers to entry and unlock potent new capabilities that are out of reach when working with ad-hoc models, while the latter will ensure that outputs are transparent, trustworthy, and meaningful. In healthcare, AutoML and interpretability are already beginning to empower the clinical community by enabling the crafting of actionable analytics that can inform and improve decision-making by clinicians, administrators, researchers, policymakers, and beyond. This keynote presents state-of-the-art AutoML and interpretability methods for healthcare developed in our lab and how they have been applied in various clinical settings (including cancer, cardiovascular disease, cystic fibrosis, and recently Covid-19), and then explains how these approaches form part of a broader vision for the future of machine learning in healthcare. See https://www.vanderschaar-lab.com/prof-mihaela-van-der-schaar/ for a bio. ===================================================================== Talks by junior researchers at the VU Campus working on AI & Health: * Improvement and evaluation of AI techniques for Personalized Mental Health Interventions - Marketa Ciharova (VU Clinical Psychology) and Ali el Hassouni (VU Computer Science) * The intersection of AI and Knowledge Work: A Case Study in Radiology - Bomi Kim (VU School of Business and Economics) * Deep Learning for Tumor Response Evaluation - Nina Wesdorp (Amsterdam UMC - Cancer Center Amsterdam) ===================================================================== The session will take place online via Zoom. The link will be shared to those who registered for the event.

Join the AMDS Data Dream Team (!)

Amsterdam UMC - location VUmc - ICU - Room Delta

--- THIS IS NOT A MEETING ANNOUNCEMENT BUT A WAITING LIST FOR THOSE THAT WANT TO DO DATA SCIENCE WITH US - PLEASE READ CAREFULLY BEFORE JOINING THE WAITING LIST --- Are you a data scientist? And do you want help cure the sickest patients using your talents? Then join the AMDS Data Dream Team! We are continuously looking for the most talented data scientist to join our exclusive data dream team. These work directly with senior medical specialists, researchers and collaborating startups on our large intensive care database. This contains data from about[masked] patients that contain abundant time series, imaging and natural language data, ready new model development. In addition, our intensive care is very experienced in bringing models to the actual bedside of the patient. This means that these model are actually being used for the benefit of these critically ill patients in real time. Joining our team will give you the opportunity to truly contribute to curing real patients. As a bonus, this position offers unique learning and networking opportunities and will certainly boost you resume. Do you have what it takes? And are you willing to spend an average of four hours per week or more at Amsterdam UMC? Then please join our waiting list and we will contact you for the selection process.