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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Program

Monday 25 November 

13-15:30 CET Session 1 - Data Management, Session Chair: Ugis Sarkans (EMBL-EBI)

• RISK-HUNT3R Knowledge Infrastructure supporting Risk Assessment Workflows, Barry Hardy (Edelweiss Connect)
• Expectations from omics data when testing xenobiotics, Robert Russell (University of Heidelberg)
• Enhancing Risk Assessment Knowledge Exchange: Latest Advances in the RAKIP Initiative, Matthias Filter (BfR)
• Enabling safe and sustainable material design via interoperable data and modelling tools, Thomas Exner (Seven Past Nine) 
• Using FAIR Implementation Profiles (FIPs) for FAIR convergence of Toxicology resources, Gerhard Burger (University of Leiden)

15:30-17 CET Session 2 - Knowledge Graphs and Maps, Session Chair: Alessio Gamba (University of Liège)

• The ONTOX Physiological map and its use in model development for better understanding chemical toxicities in the kidney, Alessio Gamba (University of Liège)
• PBPK model-based QIVIVE to translate AOP-informed in vitro test battery data in NGRA, Nynke Kramer (Wageningen University)

17-19 CET Session 3 - Toxicity Profiling, Screening and Prediction, Session Chair: Ruili Huang (NIH)

• NIEHS DIVER Platforms: Data Integration and Visualization of In Vitro Developmental Neurotoxicity (DNT) and Zebrafish Developmental Toxicity (DT) Screening Data, Jui-Hua Hsieh (NIEHS)
• Use of high throughput screening assay system to identify environmental toxicants, Menghang Xia (NCATS)
• Screening ToxCast Chemical Libraries for Binding to Transthyretin, Stephanie Eytcheson (US EPA)
• Incorporation of Human CYP450 Metabolism into Endocrine Disruption Assays, Steve Simmons (US EPA)

Tuesday, 26 November 

13-15 CET Session 4 - AI Advances in Computational Toxicology, Session Chair: Thomas Hartung (Johns Hopkins and University of Konstanz)

• ToxAIcology – AI will only replace toxicologist, who do not use it!, Thomas Hartung (Johns Hopkins and University of Konstanz)
• AI-facilitated workflows in ONTOX, Marc Teunis (HU University of Applied Sciences Utrecht, Hogeschool Utrecht) 
• BioBricks for mining public databases on chemical properties, Tom Luechtefeld (ToxTrack and Insilica)
• Probabilistic Risk Assessment, Alexandra Maertens (Johns Hopkins University)
• Bridging AI and Toxicology: Explainable Methods with TISBE and TIRESIA, Nicola Gambacorta (University of Bari Aldo Moro)

15-16 CET Session 5 - Career Panel: Speakers share their insights, experiences, and guidance to inspire and empower attendees as they navigate and grow their careers in the field (Barry Hardy (Edelweiss Connect), Thomas Hartung (Johns Hopkins and University of Konstanz), Paul Jennings (Vrije Universiteit Amsterdam)).

16-19 CET Session 6 - Toxicokinetics, Session Chair: Matt Linakis and Harvey Clewell (Ramboll)

• AWESOM: a GNN-based Site-Of-Metabolism Predictor with Aleatoric and Epistemic Uncertainty Estimation, Roxane Jacob (University of Vienna)
• A Tiered Testing Strategy for PBK Modelling: An Investigation of the Effect of Data Reliability and Quality on Model Performance, Hiba Khalidi (Certara)
• A Physiologically-Based Kinetic Model for Inhalation Exposure of Perfluorooctanoic Acid (PFOA) in Rats, Paraskevi Papakyriakopoulou (National Technical University of Athens) 
• Next-Generation Risk Assessment (NGRA) Approaches for Systemic Toxicity: Integrating In Silico and In Vitro Methods, Ans Punt (Unilever)
• Expanding High Throughput IVIVE Methods to Volatile and PFAS Chemistries, John Wambaugh (US EPA)
• QIVIVE and reverse dosimetry using TKPlate, Jean Lou Dorne (EFSA)
• Evaluating the Impact of Anatomical and Physiological Variability on Human Equivalent Doses using PBPK Models, Celia Schacht (US EPA)

Wednesday, 27 November 

11-13 CET Session 7 - Liver toxicity Session Chair:  Marije Niemeijer (University of Leiden)

• Organobodies; A novel way to generate high-throughput 3D multi-cellular liver model, Mostafa Kiamehr (KU Leuven)
• Advanced liver 3D in vitro methods for translational toxicology, Volker Lauschke (Karolinska Institutet & Bosch Institute of Clinical Pharmacology)
• Leveraging human liver microtissue system based on high density microplates for hepatoxicity screening early in drug discovery, Anna Borgström (Insphero)
• Human population variability of toxicodynamics driving adverse responses in hepatocytes, Marije Niemeijer (Leiden University)
• A systems approach to elucidating pathways for liver regeneration after partial hepatectomy and ischemia reperfusion injury, Giulia Callegaro (Leiden University)

13-15 CET Session 8 - Genotoxicity, Session Chair: Marc Audebert (INRAE/PrediTox)

• Use of the gammaH2AX/pH3 in vitro genotoxicity method for genotoxicity mode of action determination in the context of chemical risk assessment, Marc Audebert (INRAE/PrediTox)
• Implementation of a workflow for an Integrated Testing Strategy for genotoxicity using QSAR-based tools, José Luis Vallés Pardo (ProtoQSAR)
• Characterization of the mutagenicity of selected nitrosamines using miniaturized Ames tests, Csaba Boglàri (Xenometrix)
   

15-17 CET Session 9 - Endocrine Disruption Session Chair: Carolina Horta Andrade (UFG)

• The concern for endocrine disruptors addressed in the EU Regulations, Costanza Rovida (TEAM Mastery)
• Endocrine disruption and neurotoxicity induced by emerging contaminants, Daniel Junqueira Dorta (University of São Paulo)
• Advanced Artificial Intelligence Models for the Prediction of Progesterone Endocrine Disruptors, Ester Souza (Federal University of Goias)
• Building a Comprehensive Phthalate Database: A Data-Driven Approach to Identifying Safer Alternatives, Akangbe Olusola (OpenTox Intern)

17-19 CET Session 10 - AI in Risk Assessment, Session Chair: Ting Li (FDA/NCTR)

• OpenTox 2.0 – A Perspective on the Principles for Predictive Toxicology and Risk Assessment Applications enabled by New Approach Methods, Computational Modelling and Artificial Intelligence, Asmaa Ali (Edelweiss Connect)
• Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels, Jake Silberg (Stanford University)
• Deep Generative Learning of Single Cell Gene Expression to predict Dose-Dependent Chemical Perturbations, Sudin Bhattacharya (Michigan State University)
• Considerations for AI driven risk assessments for regulatory applications, Shraddha Thakkar (FDA/CDER)

Thursday, 28 November 

13-15 CET Session 11 - New Approach Methods, Session Chair: Yvonne Kohl (Fraunhofer)

• An integrated in vitro and in silico testing strategist to study the effect of four PFAS on the antibody production, Martina Lulini (University of Milan)

• Placental Barrier Permeability Prediction using Mutli-task Learning, Swapnil Chavan (RISE)

• An in-vitro model for toxicity testing of non-exhaust emissions at the Air-liquid interphase, Johannes Becker (Helmholtz Munich and University of Rostock)

• Assessing Placental Barrier Integrity Using Novel Approaches: The Case of a Real-Life PFAS Mixture, Verena Maria Mailänder (UFZ)

• PreS/MD and StopTox: In Silico NAM for Skin Sensitization, Eugene Muratov (University of North Carolina) 

15-17 CET Session 12 - Risk Assessment, Session Chair: Willie Peijnenburg (University of Leiden) 

• Toward improving the prediction confidence of in silico approaches to address the decline of wild pollinators and to support environmental risk assessment policy, Olga Tcheremenskaia (ISS)

• Integration of safety assessment and LCA within SSbD, Lya Hernandez (RIVM)

• The roles of RA & LCA and the meaning of life cycles for Safe and Sustainable by Design (SSbD), Jeroen Guinée (University of Leiden)

• Predictive Framework for Cyanide Toxicity: Combining QSTR, SSD, and q-RASTR Approaches, Kabiruddin Khan (University of Gdansk)

17-19 CET Session 13 - Advanced In Vitro Models for Kidney Biology and Toxicology Investigations, Session Chair: Paul Jennings (Vrije Universiteit Amsterdam)

• The kidney and why is it important, Paul Jennings (Vrije Universiteit Amsterdam)
• Review of human and rat renal proximal tubule in vitro models for ADME applications, Olivia Klatt (Vrije Universiteit Amsterdam)
• Why the kidney is susceptible. Repeat dose exposure, Vidya Chandrasekaran (Vrije Universiteit Amsterdam)
• The Chiasma project and PFOS and PFAS nephrotoxicity, David Heiler (Vrije Universiteit Amsterdam)
• Transcriptomic changes and mitochondrial toxicity in response to acute and repeat dose treatment with brequinar in human liver and kidney in vitro models, Anja Wilmes (Vrije Universiteit Amsterdam)

Friday, 29 November 

13-15 CET Session 14 - Computational Toxicology Supporting Risk Assessment, Session Chair: Panagiotis D Kolokathis (Nova Mechanics)

• Easy-MODA: Simplifying standardised registration of scientific simulation workflows through MODA template guidelines powered by the Enalos Cloud Platform, Panagiotis D Kolokathis (Nova Mechanics)

•  In silico prediction of toxicity- let’s use fingerprints, Gerhard Ecker (University of Vienna) 

• Retinoic acid receptor (RAR) antagonism modelling with focus on in-house practices for data curation, model validation and reporting, Eva Bay Wedebye (Technical University of Denmark)

• Machine learning-assisted c-RASAR modeling of a curated set of orally active nephrotoxic drugs: Similarity-based predictions from close source neighbors, Arkaprava Banerjee (Jadavpur University)

• ToxPipe – Chatbots and Retrieval-Augmented Generation on Toxicological Data Streams, Trey Saddler (NIH/NIEHS)

15-17 CET Session 15 - Knowledge-based Investigations in Mechanistic Toxicology, Session Chair: Barry Hardy (Edelweiss Connect)

• An optimized adverse outcome pathway network for chemical-induced liver steatosis, Anouk Verhoeven (Vrije Universiteit Brussel)
• Development and Testing Strategies for Mechanistic Toxicology Models, Jeffrey Wiseman (Edelweiss Connect)

• Adverse Outcome Pathway-Driven Analysis of Liver Steatosis, James Firman (Liverpool John Moores University)

17-19 CET Session 16 - Environmental Assessment, Session Chair: Asish Mohapatra (Health Canada) & Pierre-Andre Billat (INERIS)

• In silico as a tool for a better use of environmental in vitro toxicity assays, Pierre-Andre Billat (INERIS)

• In silico toxicity predictions using the q-RA and q-RASAR approaches, Kunal Roy (Jadavpur University)

• Conceptual Framework for a Modern Approach to assess Human Health and Ecological Risk from Agrochemicals using Read-across to Reduce Vertebrate Testing, Amber Goetz (Syngenta)

• POSTER TALK: Predicting Early Life Stage Toxicity of Fish Using Intelligent Consensus Based Approach: Data Tested in Compliance with OECD Test Guideline 210, Souvik Pore (Jadavpur University)
• POSTER TALK: Construction of Hybrid models by fusing the Read-Across concept with the QSAR framework for assessing Developmental and Reproductive toxicity (DART) tested under OECD TG 414, Sapna Kumari Pandey (Jadavpur University)