In August, we attended the first Biomedical Data Science Conference, where we listened to inspiring talks, built new connections, and were glad to see the strong presence of women in the field of biomedical data analysis.

Many thanks to Semmelweis University for the organization and the opportunity!

You can browse the abstract book here: https://www.biomed-data.semmelweis.hu/conference/book-of-abstracts

We were proud to contribute with our presentations:
Melánia Pamuki-Puskás – Noise Modeling Approaches for Digital Caliper-Based Tumor Volume Estimation in Preclinical Studies
Lilla Kisbenedek – Physics-Informed Neural Networks for Tumor Modeling and Parameter Estimation
Martin Ferenc Dömény – Markov Chain Monte Carlo Method for Tumor Growth Model Identification