Nico gave a keynote at the 1st MOPRED Symposium for multimodal data integration at University Hospital Frankfurt.

Ali presented our paper ppAURORA: Privacy Preserving Area Under Receiver Operating Characteristic and Precision-Recall Curves at NSS-SocialSec2023 (17th International Conference on Network and System Security + 9th International Symposium on Security and Privacy in Social Networks and Big Data) in Canterbury, UK.

Nico and Elham participated in the 53rd annual workshop StatComp2023 of the working groups Statistical Computing (GMDS/IBS-DR) and Klassifikation und Datenanalyse in den Biowissenschaften (GfKl):

- Nico's keynote: Efficient privacy-preserving machine learning for precision medicine,

- Elham's talk: Assessing the impact of vaccination and predicting the emergence of the Omicron-Variant: Modeling the dynamics of COVID-19 in the Omicron wave

Nico, Jonas, Nicolas, Florian, Mete, Julia, Jacqueline, Sven participated in the 31st Annual Intelligent Systems For Molecular Biology and the 22nd Annual European Conference on Computational Biology (ISMB/ECCB2023) in Lyon, FR.
 

Jonas's talk titled COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data was awarded 2nd place/Honorable Mention of the Ian Lawson Van Toch Memorial Award for Outstanding Student Paper.

Posters presented: 

- Interpretable multi-view dimensionality reduction for biologically meaningful sample representation by Nicolas,

- Identifying risk factors for disease progression of COVID-19 using statistical machine learning by Florian

Sofiane attended the 40th International Conference on Machine Learning (ICML2023) in Honolulu, Hawaiʻi, USA.

Our lab participated in TüBMI 2023, our annual Bioinformatics and Medical Informatics Day.
 

Jonas's talk was titled Inherently Interpretable Kernel Networks in Healthcare.
 

Posters presented: 

- FHAUC: Privacy Preserving AUC Calculation for Federated Learning using Fully Homomorphic Encryption by Cem,

- HCV 2k/1b Variant Detection with Machine Learning Methods by Nurhan,

Efficient and Secure Multi-party Sorting by Şeyma

Nico presented Privacy preserving AI-based solutions at Brocher Foundation & EuCARE's panel Law & Ethics of Post-Pandemic Health Data Sharing – Data privacy, data property, and data sharing: an interdisciplinary dialogue for post-pandemic transnational research in Geneva, CH.

Nico, Elham, and Florian attended the GMDS/IBS-DR joint workshop on Computational Models in Biology and Medicine 2023 in Stuttgart.

Elham's talk was titled A COVID-19 informed neural network with adaptive weighting during variants of concern in Germany.

Nico, Elham, Nurhan and Florian attended the AREVIR Meeting / EuCARE session in Cologne.

- Nurhan's talk was titled HCV Saint Petersburg Variant Detection with Machine Learning Methods.
- Florian's talk was titled AI Models to Predict Clinical Outcome.

Hosting a project workshop with our Centre of Innovative Care (Zentrum für Innovative Versorgung/ZIV) partners from the university hospitals of Freiburg, Heidelberg, Mannheim, Tübingen and Ulm.

Our PhD Students attended the Tübingen Bioinformatics and Medical Informatics Day (TüBMI).

Nico, Jacqueline and Florian attended the German Society of Infectious Diseases (DGI) and German Center for Infection Research (DZIF) Joint Annual Meeting 2022 in Stuttgart.

Nico, Florian and Nurhan attended the AREVIR Meeting / EuCARE session in Cologne.

We hosted a Center for Innovative Care (Zentrum für Innovative Versorgung/ZIV) event with our clinical partners across Baden-Württemberg where Nico and Alisa gave talks on Digitale Infrastrukturen für Patient:innen-zentrierte Versorgungslösungen.

Congratulations to Dr. Mete Akgün and Ali Burak Ünal on boarding our new interdisciplinary research group in Medical Data Privacy and Privacy-preserving Machine Learning on healthcare data (MDPPML) funded by the BMBF.

The AIMe standard and registry for reporting AI results in medicine and biomedical research is out in Nature Methods.

Nico updated the participants of TÜBIT 2021 (Tübingen Medical and Bioinformatics Day) on our research, and Jacqueline presented her project on Predicting malaria vaccine efficacy from anti-plasmodial antibody profile(s).

Nico is on the Steering Committee of AIMe Registry where you can report publication of biomedical Artificial Intelligence technologies to facilitate their application in clinical practice: https://aime-registry.org

Jonas's talk Extending Deep Kernel Approaches for Better Prediction and Understanding of ADME Phenotypes and Related Drug Response was featured in the Spotlight Presentations of the 3rd Cluster Conference "Machine Learning in Science" 2021.

Bernhard's poster on Machine Learning for prediction of drug resistance in Mycobacterium tuberculosis strains was presented in the ePoster Review at the 31st European Congress of Clinical Microbiology & Infectious Diseases (ECCMID 2021).

New publication Evaluation of a rapid antigen test to detect SARS-CoV-2 infection and identify potentially infectious individuals by Michael Korenkov, Nareshkumar Poopalasingam, Matthias Madler, Kanika Vanshylla, Ralf Eggeling, Maike Wirtz, Irina Fish, Felix Dewald, Lutz Gieselmann, Clara Lehmann, Gerd Fätkenheuer, Henning Gruell, Nico Pfeifer, Eva Heger, and Florian Klein accepted by Journal of Clinical Microbiology.

New Medical Informatics (or Bioinformatics) Master's Thesis template now available for download under our Thesis Topics.

New paper DNA-binding properties of the MADS-domain transcription factor SEPALLATA3 and mutant variants characterized by SELEX-seq by S. Käppel, R. Eggeling, F. Rümpler, M. Groth, R. Melzer, G. Theißen published in Plant Molecular Biology.

New paper Privacy-preserving SVM on Outsourced Genomic Data via Secure Multi-party Computation by Huajie Chen, Ali Burak Ünal, Mete Akgün, and Nico Pfeifer published (IWSPA '20: Proceedings of the Sixth International Workshop on Security and Privacy Analytics).