Program pdf

09:30 - 10:00 Welcoming participants 

10:00 - 10:10 Introductory remarks 

--------------------------------------------------------------------------------------------------------------------------------------------------

10:10 - 11:45 Session 1 – Integration of Multi-Modal Data in Biology and Cancer 

10:10 - 11:00 Keynote Speaker 1 | DR. ANDREA RAU 
                       Université Paris-Saclay, INRAE, AgroParisTech

Title: Tackling the statistical challenges of multi-omic integration
Dr. Andrea Rau, a leading expert in biostatistics and computational biology, will discuss cutting-edge methodologies for multi-omics data integration and highlight applications in oncology.
 

11:00 - 11:45 3 selected presentations (15 minutes for each presentation) 
                       Valentin Isen: How to get the most of your single-cell RNA-seq data? A practical walkthrough using follicular lymphoma stromal microenvironment
                       Hugo Barbot: Multi-omic statistical inference of cellular heterogeneity
                       FLASH TALKS:Jules Garreau (Network based analyses of transcriptomic data to study the effect of Sonic              Hedgehog pathway defect in neurodevelopmental disorders)
                                              Quentin Rouger (Naive prediction of complete protein complex structure using AlphaFold, applied  in Type 4 secretion system)
                                              Nicolaï Hoffmann (Facilitating genome annotation using ANNEXA and long-read RNA sequencing)
                                              Charlotte Dubec-Fleury (Targeted Segmentation of Macrophages Enhances Spatial Profiling in      Imaging Mass Cytometry)

--------------------------------------------------------------------------------------------------------------------------------------------------

11:45 - 12:45 Lunch Break 

12:45 – 13:30 Poster all Sessions with Coffee 

--------------------------------------------------------------------------------------------------------------------------------------------------

13:30 – 15:05 Session 2 – AI for Sequence and Image Analyses 

13:30 - 14:20 Keynote Speaker 2 | DR. JULIETTE GRIFFIÉ
                       Science for Life Laboratory, Université de Stockholm, Suède

Title: Interpretable ML for data driven therapeutic design and diagnosis
Dr. Juliette Griffié specializes in computational imaging and AI-driven biomedical modeling. Her talk will cover recent advances in microscopy image analysis, generative AI, and explainable AI in immunologyapplications in oncology.
 

14:20 - 15:05 3 selected presentations (15 minutes for each presentation) 
                       Rajeev Manick: sGAN: Enabling Low-Data, High-Speed Cell Classification for Automated Microscopes
                       Clémentine Hatton: Synthetic thoracic radiography generation for improved nodule detection
                       Sidi Mohamed Sid'El Moctar: On the Use of Flow Matching for Microtubule Segmentation in Noisy Microscopy Images

--------------------------------------------------------------------------------------------------------------------------------------------------

15:05 – 15:40 Coffee Break 

--------------------------------------------------------------------------------------------------------------------------------------------------

15:40 – 17:15 Session 3 – Applications of AI and integrative approaches in Personalized Medicine and Health 

15:40 - 16:30 Keynote Speaker 3 | DR. RÉMY NICOLLE
                       Centre de Recherche sur l’Inflammation, INSERM, CNRS, Université Paris Cité

Title: Multimodal Tumor phenotyping for treatment recommendation in pancreatic cancer 
Dr. Rémy Nicolle, a renowned expert in onco-genomics and pancreatic cancer research, will discuss emerging multi-modal integrative approaches and AI methodologies for personalized medicine, focusing on patient stratification, biomarker discovery, and personalized therapeutic strategies in pancreatic cancer.

16:30 – 17:15 3 selected presentations (15 minutes for each presentation) 
                       Axel Bonesteve: From clinical texts to phenotypic profiles: extraction of HPO terms to facilitate the characterisation and clustering of patients with rare diseases.
                       Tianyuan Wang: Multimodal Analysis of Fibrous Nests in Human Hepatocellular Carcinomas by Spatial Transcriptomics and a 62-Antibody Immune Oncology Multiplex Panel
                       Saiveth Hernandez-Hernandez: Integration of Extracellular Vesicle microRNA Signatures and Ma-chine Learning to Improve Lung Cancer Diagnosis

--------------------------------------------------------------------------------------------------------------------------------------------------

17:15 – 17:30 Closing Session - Future Directions in Bioinformatics 

Closing Remarks and Farewell 

--------------------------------------------------------------------------------------------------------------------------------------------------

17:30      Wine and Cheese  

--------------------------------------------------------------------------------------------------------------------------------------------------