Medical Knowledge and Decision Support

We advance “Medical Knowledge and Decision Support” with data science and artificial intelligence, and qualitatively explore digital transformation in the clinic.

The overarching objectives of the research of the Medical Knowledge and Decision Support group are to implement innovative data science approaches, accelerate discovery, translation and integration of evidence into clinics, and to align technological progress with the needs of clinicians.

Methods

Our research draws methodologically from data science, bioinformatics, computer science, and psychology. We build ontologies and an associated ecosystem for logic-based automation. We apply and develop predictive models using AI/ML, particularly LLMs and neuro-symbolic approaches. We apply mathematical approaches including constraint-based modelling. In addition, we use qualitative approaches to study human perspectives.

Use cases

Use Cases

We address a wide range of application use cases across our projects, including the discovery and prediction of functions and regulatory factors, biomedical and clinical evidence synthesis and automation, pre-trained large language and multi-modal model evaluation, extraction of data from clinical notes for predictive modelling, decision support, medical question answering, and interpretability and explanations for AI applications.

Clinical Areas

Our projects span a range of biomedical and clinical domains, including fundamental metabolism and metabolomics; drug discovery and molecular property prediction; RNA biology and regulatory interactions; oncology and personalised cancer biology; behavioural science and health psychology; mental health including anxiety, depression and psychosis; ophthalmology; infectious diseases; and physiotherapy.

Learn more about our projects

Contact and Collaboration

If you are interested in partnering with us, have an idea you’d like to discuss, or simply want to get in touch, we would love to hear from you! 

Please reach out via email to: janna.hastings@unisg.ch or janna.hastings@uzh.ch

School of Medicine
University of St.Gallen (HSG)
St. Jakob-Strasse 21
9000 St.Gallen, Switzerland

Institut for Implementation Science in Health Care (IfIS)
Universität Zürich
Universitätsstrasse 84
8006 Zürich, Switzerland

Event: Clinic Meets Data Science Symposium, Zurich, 10 September 2024

Join us for the 4th Clinic Meets Data Science Symposium in Zurich!

🔎 4th Clinic Meets Data Science Symposium
🗓 Date: September 10, 2024
🕰 Time: 9:00 AM – 6:00 PM
📍 Location: University Hospital Zurich, Grosser Hörsaal OST, Schmelzbergstrasse 12, 8091 Zürich
🌍 Format: Hybrid Event
🌐 Link: https://lnkd.in/dipwbnVf

Join us for an insightful day at the intersection of healthcare and data technology! The 4th Clinics Meets Data Science Symposium will delve into the significant impact of data science in clinical settings. This event is a must-attend for anyone interested in the future of precision medicine and the role of enhanced digitalization and data volume in healthcare.

🎉 Highlights
Discover current and future applications in Clinical Data Science.
Discuss the integration of Data Science into daily clinical routines and the myriad opportunities it offers.

✍ Call for Abstracts
We are excited to announce that abstract submission is now open! This is your opportunity to contribute to the dialogue on Clinical Data Science and showcase your work to peers and industry leaders. The deadline for abstract submissions is June 15, 2024.

🌐 For more information and to submit your abstract, visit our website: https://lnkd.in/dipwbnVf

👥 Whether you’re a clinician, a data scientist, or an enthusiast in the healthcare technology space, this symposium offers valuable insights and networking opportunities. Save the date and join us for a day of enriching discussions and innovative ideas!

https://www.usz.ch/en/event/4th-clinics-meets-data-science-symposium