All Times in CET (e.g.13.30 CET = 7.30 am New York, 12.30 pm London, 5 pm Mumbai, 10.30 pm Tokyo)

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Preliminary Program

Monday 16 November

Session 1: AI and Data-Driven Approaches for Toxicity Prediction and Mechanistic Assessment

12:00 CET:  Converting Nanotoxicity Data to Information Using Artificial Intelligence, David Winkler (La Trobe University)
13:00 CET:  In silico Prediction of Toxicity - let’s use biological fingerprints, Gerhard Ecker (University of Vienna)
14:00 CET:  Data Mining to Assess the Molecular Initiating Events of Steatosis, Jeffery Wiseman (Edelweiss Connect)
15:00 CET:  From NAM Data to Trusted Evidence: The RISK-HUNT3R Knowledge Infrastructure for Next Generation Risk Assessment, Barry Hardy (Edelweiss Connect)

Tuesday 17 November

Session 2:  On and Off Target Assessment of Adverse Effects and How This Translates to Clinic, Chair:  Rhiannon Lowe (Relation Therapeutics)
12:00 CET: Target Safety Review: an integrated approach to de-risking therapeutic targets, Katica Jankovic & Tamara Krsmanovic (EvalyteBio)
13:00 CET: Federated Learning Across Pharmaceutical Companies for Improved Toxicity Prediction, Lewis Mervin (Apheris AI)
14:00 CET: With AI and Agents, Answers are easier than ever to find, but what’s the right question to ask in toxicology? , Olly Oechsle and Josh Almond-Thynne (Sablebio)
15:00 CET:  Title (TBA), Layla Gerami (Ignota Labs)
16:00 CET: The importance of mechanistic toxicology and pathology as a combined approach in understanding human relevance of toxicological findings and conveying regulatory expectations in the development of new medicines, Richard Haworth & Nicholas Coltman (Rosettapath and Apconix)

Wednesday 18 November

Session 3:  Development of machine learning models as NAMs for environmental fate and toxicity endpoints.
Session Chairs: Prof. Kunal Roy (Jadavpur University) & Asish Mohapatra (Health Canada)
15:30 CET: Machine Learning-based Prediction and Mechanistic AOP Modeling of Chemical Toxicity, Alex Tropsha (University of North Carolina)
16:00 CET: Title (TBA), Eva Bay Wedbye (Technical University of Denmark)
16:30 CET: Bridging Product Innovation and Safety Assessment through the Isalos Analytics Platform, Panagiotis D. Kolokathis (NovaMechanics)
17:00 CET: From Material Properties to Biological Context: Rethinking Predictive Toxicology, Agnieszka Gajewicz-Skretna (Gdańsk University of Technology)
17:30 CET: Toward Unbiased Selection of Machine-Learning Regression Models, Arkaprava Banerjee (Jadavpur University)

Posters

18:00 CET: Machine learning-guided prediction of Hepatobiliary transporters BSEP, MRP2, MRP3 and MRP4 inhibition: Addressing class imbalance and deciphering structural determinants for early assessment of hepatic toxicity, Indrashis Dasgupta (Jadavpur University)
18:10 CET: From Biodegradation to Hydrolysis: An Integrated Machine Learning Strategy for Environmental Fate Prediction of Organic Chemicals, Shubham Kumar Pandey (Jadavpur University)

Thursday 19 November

Session 4:  AOP Network Modelling including Heterogeneous Data Analysis

14:00 CET: Quantitative Adverse Outcome Pathway Networks: Development and Applications, You song (Norwegian Institute for Water Research)
15:00 CET: The AI4AOP Challenge: A Transparent and Trustworthy AI-Assisted Workflow for Adverse Outcome Pathway Development, Lidwina Gerner (Swiss Centre for Applied Human Toxicology)
16:00 CET:  Title, Name (TBA)

Friday 20 November

Session 5:  Progress in Regulatory Acceptance of NAMs-based Weight of Evidence

14:00 CET:  NAMs in Action: How PBPK & QSP Are Earning Their Place in Drug Discovery, Development and Regulatory Review, Kunal Taskar (GSK)
15:00 CET:  Assessing mutagenic impurities for ICH M7 with AI Agents to support (Q)SAR and expert review, Srijit Seal (Human Chemical)
16:00 CET:  NAMs and MPS in the Changing Face of Toxicology: From Human-Relevant Models to Regulatory Evidence, Pelin Candarlioglu (3D and 3Rs Ltd.)
17:00 CET:  Drug Safety Assessment: Computational Toxicology and Beyond, Arianna Bassan and Manuela Pavan (innovatune)

Poster
18:00-18:10 CET: Axiomatic Foundations for Adaptive Hybrid Human–AI Coalitions: An Information-Theoretic Framework for Dynamic Decision Authority, Salomé A. Sepúlveda-Fontaine (Universidad Miguel Hernández de Elche)