2023/09/06 | Research | Artificial Intelligence
Seventh ARTORG Seminar organized by the AI in Health and Nutrition lab with Stergios Christodoulidis, Assistant Professor at CentraleSupélec.
Cancer is the leading cause of death worldwide. Lately, precision medicine efforts are shifting the cancer care standards providing novel personalized treatment plans with promising outcomes. Patient selection for such treatment regimes is principally based on the assessment of chemically stained histopathological tissue slides that can provide a distinct readout of different molecular profiles such as KRAS, HER2, Ki67 and others. To this end, a number of steps have been taken towards the automatic analysis of stained tissue slides using AI with the emergence of approaches for cancer subtyping and diagnosis as well as outcome prediction.
Our team over the last years has proposed several algorithms towards this direction for the analysis of different data modalities related to cancer care focusing on weakly and unsupervised schemes. In this talk, our latest efforts in spatially aware biomarker quantification will be presented showcasing examples such as unsupervised nuclei segmentation, computational stain transfer as well as biomarker regression for treatment outcome prediction.
Stergios Christodoulidis is an assistant professor at the mathematics department of CentraleSupélec, University Paris-Saclay in France and part of the βiomathematics group of MICS Laboratory working on machine learning methods applied in medical applications.
He has received a diploma in electrical and computer engineering at the Polytechnic School of the Aristotle University of Thessaloniki. Soon after, he joined the graduate school of the University of Bern, where he has conducted my PhD at the ARTORG Center for Biomedical Engineering Research under the supervision of Prof. Stavroula Mougiakakou. There, he focused on the design of computer-assisted diagnosis support systems for interstitial lung diseases using deep learning approaches.
As a part of a doctoral mobility collaboration, he worked with Prof. Nikos Paragios on deep learning-based medical image registration pipelines at the Central Vision Numeric (CVN) of CentraleSupélec in Paris. He then continued his research on computer-assisted approaches for healthcare as a fellow of the SNSF Early Postdoc Mobility grant at Gustave Roussy in Paris. He has collaborated on computer-assisted precision medicine for breast cancer in collaboration with Prof. Fabrice Andre, Prof. Eric Deutsch, Prof. Laurence Zitvogel, Prof. Nikos Paragios and Prof. Maria Vakalopoulou as part of the Centre National de Médecine de Précision (PRISM).
