Day 1 — 12 March 2026

Time Activity Speakers/chairs
09:00–09:45 Registration with coffee and fika  
09:45–10:15 Opening remarks  
10:15–11:30 Session 1: Metagenomics & Microbiome Tânia Carneiro Peniche, Biel Garcias Puigserver
Keynote 10:15-10:40 “The microbiota-gut-brain axis in epilepsy” Stefanie Prast-Nielsen (Karolinska Institute)
Keynote Gothenburg 10:40-11:05 “The making of a pathogen” Astrid von Mentzer (University of Gothenburg)
11:05-11:17 T1 “Regulation of a tripartite Toxin Antitoxin system in the honeybee intestinal bacteria Apilactobacillus kunkeei” Héléna Vassilieff (Uppsala University)
11:18-11:30 T2 “STRIKE-T2D: Strain-level Interpretation of Key Effectors in Type 2 Diabetes” Chuqing Sun (University of Gothenburg)
11:30–12:00 Break  
12:00–13:15 Session 2: Translational Research Linnéa Ögren, Markus Lindberg
Keynote 12:00–12:25 “Accelerating rare disease diagnostics through multidisciplinary collaboration” Ann Nordgren (Karolinska Institute and University of Gothenburg)
Keynote Gothenburg 12:25–12:50 “Genomic insights into small intestine neuroendocrine tumours” Erik Larsson Lekholm (University of Gothenburg)
12:50-13:02 T3 TBA
13:03-13:15 T4 “Deciphering Heterogeneity in Acute Myeloid Leukemia to Understand the Mechanisms of Disease Progression and Immune Interactions Using Single-Cell RNA-Sequencing” Sadiksha Adhikari (University of Helsinki)
13:15-14:15 Lunch Break  
14:15–15:30 Session 3: Single-cell Technologies Hana Komic, Alice Schiller
Keynote 14:15-14:40 “The dawn of clinical spatial technologies” Joakim Lundeberg (KTH Royal Institute of Technology)
Keynote Gothenburg 14:40-15:05 “Integrative single-cell approaches in diabetes” Joan Camunas (University of Gothenburg)
15:05-15:17 T5 “NOX2-driven macrophage reprogramming enhances breast cancer metastasis” Mustafa Kaya (University of Gothenburg)
15:18-15:30 DDLS Margit Mahlapuu (University of Gothenburg)
15:30–16:00 Group photo and break with fika  
16:00–17:30 Poster session  
17:30–22:00 Mingle dinner and social event  

Day 2 — 13 March 2026

Time Activity Speakers/chairs
08:30–09:00 Welcome coffee  
09:00–11:15 Parallel workshops  
  Academic writing Richard La Bontee (University of Gothenburg)
  Visualising science Emilia Ståhlbom (Sectra)
  Data management Maria Thorson (University of Gothenburg)
  Bacterial Genomics Kaisa Thorell (University of Gothenburg)
11:15–11:45 Break with fika  
11:45–13:00 Session 4: Multi-omics data integration Adam Dziulko, Klara Esbo
Keynote 11:45–12:10 “Advancing multi-omics data integration through tool development” Ana Conesa (CSIC)
Keynote Gothenburg 12:10–12:35 “Integrative Multi-Omics Frameworks for Understanding the Molecular Mechanism of Cardiometabolic Disease Progression” Muhammad Arif (University of Gothenburg)
12:35-12:47 T6 “A bimodal framework for reliable and accessible acute leukemia machine learning classification using gene expression and DNA methylation data” Mariya Lysenkova Wiklander (Uppsala University)
12:48-13:00 T7 “Sex chromosomes from raw data, and the tools to get you there” Nikos Tsardakas Renhuldt (Lund University)
13:00–14:00 Lunch  
14:00–15:15 Session 5: Cancer Genomics Tobias Österlund, Danel Olaverri Mendizabal
Keynote 14:00-14:25 “A genomics approach for dissecting pathogenic and drug resistance mechanisms in hematological malignancies” Caroline Heckman (University of Helsinki)
Keynote Gothenburg 14:25-14:50 “Clonal hematopoiesis - a precursor for hematological malignancies” Abhishek Niroula (University of Gothenburg)
14:50-15:02 T8 ”Plasma Protein Biomarkers of Treatment-Induced Brain Injury inChildren with Primary Brain Tumors: Early Findings from the BiomarkCBT Study” Dea Gogishvili (Uppsala University)
15:03-15:15 T9 ”Read-Level Methylation Analysis of cfDNA Using Targeted EM-seq for CNS Tumor Classification” Ryan SY Kwan (University of Gothenburg)
15:15–15:45 Break with fika  
15:45–17:00 Session 6: Machine Learning and AI Alan Bäckerholm, Kerryn Elliott
Keynote 15:45–16:10 “AI and machine learning for aging and neurodegenerative disease” Jacob Vogel (Lund University)
Keynote Gothenburg 16:10–16:35 “When Models Spill Secrets: Auditing Data Leakage” Fazeleh Hoseini (AI Sweden)
16:35-16:47 T10 “Leveraging mass spectrometry data for predicting chemical persistence and mobility” Yingxiao Yan (Stockholm University)
16:48-17:00 T11 “Bringing Self-Explaining Neural Networks to Genomics: A Study on RNA Secondary Structure Type Prediction” Andrea Salinetti (KTH)
17:00–17:15 Poster prizes and closing remarks