The CD Lab Machine Learning Driven Precision Imaging, funded by the Christian Doppler Gesellschaft, will develop new predictive models for lung cancer and its individualized treatment.
The CD Lab
It will integrate radiological and pathological images and molecular data using new machine learning methods. This paves the way for the development of new machine learning (ML) concepts in precision imaging for better individualized treatments.
The CD Lab aims at fighting primary lung cancer, one of the most common types of cancer and the leading cause of cancer death worldwide, more effectively. It is an interdisciplinary project across the fields of machine learning, medical imaging, oncology and pathology work, and legal research. Together with a team involved in practical legal issues and policy the CD Lab will develop and validate novel ML methodology to improve the individualized care of lung cancer patients.
This integration of AI (artificial intelligence) and imaging offers numerous challenges: Available routine clinical data are heterogeneous, the patient population is diverse, training data usable for AI models are limited in number, and keeping said models permanently updated to work with the availability of new therapies and the simultaneous development of imaging technologies is a highly complex endeavor, while the legal conditions for sharing data collections are yet challenging.
The CD Lab has 4 areas of research: First, to quantitatively assess and predict disease and treatment trajectories; second, to extend ML to the large, diverse, heterogeneous routine patient population, as well as to continuously evolving and emerging diagnostic technologies and treatment options, rather than assuming only focused studies. Third, to link evidence in the form of large-scale data on the one hand using ML to underlying biological processes, and finally, fourth, to clarify the legal requirements of data sharing, AI development, and use of AI in healthcare.
New era for health data: Secondary use of data in the EHDS and DGA and its implementation in Europe and Austria
Event on the 27th February 2025 (14:00 – 19:00) at the Campus of the University of Vienna
https://neweraforhealthdata.univie.ac.at/
The organisation of this event is a joint effort of three projects – BBMRI.at#3, Smart FOX and CD-Lab f MLPI (funded by the Christian Doppler Gesellschaft) – which are all health projects involved in research about the European Data Strategy, inter alia about its implementation in the health sector in Austria.
Meeting for an #arsboni episode
The guests: Guillaume Chassagnon (Université Paris Cité), Nicolaus Forgo (University of Vienna), Georg Langs (Medical University of Vienna, CDL MLPI), Helmut Prosch (Medical University of Vienna, CDL MLPI.
The conversation will touch critical questions about the use of AI in radiology, its benefit for the detection of disease, diagnosis and monitoring of treatment. The conversation brings together experts from radiology, machine learning and law. It is a timely discussion in face of the rapid adoption of AI in medicine, and the starting implementation of the AI-Act in Europe.
The audience: lawyers and law students, European members of the public interested in regulatory, legal and social matters of AI and digitalisation.
Monday, February 17th 2024, at 17.00 CET (Central European Time; Timezone Vienna/Berlin/Paris)
Viewers can watch the event live via the following link and also ask questions/comments via chat.
https://youtube.com/live/-jXUQNmIa8c?feature=share
You are very welcome to share this link and/or the channel's link https://www.youtube.com/@arsboni_idlaw in social networks etc.
Symposium AI in Cancer
November 4th, 2024. 13:00-17:00
Medical University of Vienna, Jugendstilhörsaal
This symposium will bring together the communities of machine learning, medical imaging and law in the contextf of AI in cancer imaging to discuss the cutting edge of the use and development of AI in the context of cancer imaging. We will explore where and how AI is used today, how it will continue to develop, and how legal frameworks can facilitate the development of AI in healthcare. Topics will include AI based suport for treatment- and patient management decision.
The programm:
- 13:00 Opening (Helmut Prosch, Georg Langs)
- 13:15 Talk 1: Tumour heterogeneity - linking imaging with biology (Evis Sala)
- 14:00 Talk 2: AI in lung cancer and cancer screening (Guillaume Chassagnon)
- 14:45 Break: coffee and snacks
- 15:15 Talk 3: Health data spaces - what if the GDPR is not the issue? (Griet Verhenneman)
- 16:00 Panel discussion
please register: mlpi@meduniwien.ac.at