This symposium will treat the impact of Artificial intelligence (AI) and Machine Learning (ML) on chemistry and biology, including drug design. The underlying theme of the discussions will be: What we can now do with AI and ML that we couldn’t do before? For instance:
- Is AI simply a new interpolation method in the old traditional computer-aided drug design (CADD)?
- Are the methods applied nowadays intransparent in contrast to the those applied in the early days?
- How can we combine the development and application of new materials with AI-generated knowledebases?
- How much can AI help in the prediction and retro-synthesis of new chemical compounds?
- How useful are these compounds?
Still, the quality of published data matters as meaningful AI applications depend on the availability of high-quality test datasets.
These and more questions are planned to be addressed:
- chemical sensing /chemical aided drug design
- protein structure prediction
- AI models from physical models
- synthesis planning
- human brain project
- medical image recognition
- and other interdisciplinary topics
In the tradition of the Bozen Symposia participants from widely differing areas of specialization present provoking talks for a general but qualified scientific audience and researchers from the different disciplines come into contact and lead to fruitful “out of the box” discussions.
Scientific Committee
- Tim Clark / Friedrich-Alexander-University Erlangen-Nürnberg
- Antonella Di Pizio / Technical University Munich
- Oliver Koch / University of Münster
- Carsten Kettner / Beilstein-Institut
on Twitter: #BeilsteinBozen2024
Event Details
