Starting with this article, we are transitioning our public news reporting to a quarterly overview format. This editorial shift aims to provide a more extensive perspective on our activities. We continue referring to relevant articles for further details. Nevertheless, we encourage you to reach out to our group members for context, or your suggestions and in-depth-questions.
We are pleased to announce the following upcoming talk:
- On 18th of Dezember, Prof. Stefan Kramer will lecture on AI for sustainability: “KI für Nachhaltigkeit: Ein kleiner, technologischer Beitrag". The lecture in German language is part of the series Voices for Climate, where Luisa Neubauer gave the first talk.
We enjoyed participating in the following inspiring past events:
- Workshop on the Nobel Turing Grand Challenge: We discussed with the Nobel laureate Arieh Warshel and Turing prize winner Ed Feigenbaum and several other luminaries from AI and other fields how to advance the use of AI in research to tackle the Nobel Turing Grand Challenge: creating AI systems capable of making Nobel quality discoveries comparable to the best scientific breakthroughs.
- On 30th of November during a symposium of about AI at the University of Mainz, Prof. Stefan Kramer discussedwith Prof. Christoph Bläsi and Prof. Paul Czodrowski in a panel about AI in science and society. In the afternoon, he offered an introduction into AI in scientific discovery. The total symposium took place on 22nd and 30th of November in German language, organzed by the KI-Projektbüro Rheinland-Pfalz under the heading of "KI@JGU".
- Successful Ph.D. defense of Staffan Arvidsson McShane at Uppsala University with the title Confidence Predictions in Pharmaceutical Science. Supervisor Prof. Ola Spjuth summarizes: “The thesis applied machine learning and conformal prediction in various settings for prediction of drug metabolism, when transitioning between biological assays, and for monitoring disease progression”.
- Successful Ph.D. defense of Shuyi Yang at the University of Turin on inductive, fair and private semi-supervised learning.
- Talk JuGSo: Künstliche Intelligenz – Segen oder Fluch? by Prof. Stefan Kramer hosted by the Social Democratic Party Wiesbaden on November, 14th
- We organized the first interdisciplinary workshop on ML, law and society at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2023) from 18th to 22nd of September.
Furthermore, funding for two projects with our contributions has been granted by Carl Zeiss Stiftung recently:
- MAINCE: Medical AI combining Natural products and CEllular Imaging. MAINCE will use AI approaches to identify new and much-needed therapeutics in immunology. Clues to the effect of therapeutics through state-of-the-art imaging techniques will be linked by (amongst others) generative AI to laboratory experiments to accelerate drug development and make it more efficient. Linking natural products with cell painting holds the promise for the discovery of novel drugs, powered by cutting edge AI.
- Multi-dimensionAI: linking scales of information to improve care for patients with heart failure. The project team is researching the treatment of heart failure using a combination of innovative AI approaches and robotics. Comprehensive health data will be used to train an AI that will identify new causal factors for heart failure and incorporate them into the therapy.
- The article Multiple instance learning to predict immune checkpoint blockade efficacy using neoantigen candidates has been published in iScience. It has been written by Franziska Lang, Patrick Sorn, Barbara Schrörs, David Weber and Martin Löwer from TRON, Translational Oncology at our University Medical Center as well as Stefan Kramer and Ugur Sahin, co-founder of BioNTech SE.