Time
(UK/BST) | Title and Speaker |
| | |
| 8.30 | Welcome and Introduction to the Day
Andreas Bender, Centre for Molecular Informatics, University of Cambridge |
| | |
| | Session 1: In Silico Toxicology Consortia and Projects |
| | |
| 8.35 | The European ONTOX Project: Ontology-Driven and Artificial Intelligence-Based Repeated Dose Toxicity Testing of Chemicals for Next-Generation Risk Assessment
Mathieu Vinken, Vrije Universiteit Brussels - slides |
| 9.00 | International Cooperation in Sustainable Open Science Knowledge Infrastructure Supporting Predictive Toxicology and Risk Assessment
Barry Hardy, Edelweiss Connect - slides |
| 9.25 | PrecisionTox: Identifying Molecular Biomarkers of a Chemical Hazard using New Approach Methodologies
Xiaojing Li, University of Birmingham - slides |
| 9.50 | Are Cell Painting and High Through Transcriptomic Robust for Next Generation Risk Assessment? Emerging Collaborative HESI Project on Hepatotoxicity
David Rouquie, Bayer Crop Science - slides |
| | |
| (brief break before next speaker) |
| | |
| | Session 2: Approaches (1) - Predictive Modelling, -Omics, Sensitisation Thresholds, Animal Data Concordance |
| | |
| 10.30 | Interpreting Neural Network Models for Toxicity Prediction by Extracting Learned Chemical Features
Moritz Walter, Sheffield University - slides |
| 10.55 | Deriving Time-Concordant Event Cascades From Gene Expression Data in DILI (further reading)
Anika Liu, University of Cambridge - slides |
| 11.20 | Dermal Sensitisation Thresholds as an In Silico Tool Within a Toxicological Risk Assessment (further reading)
Martyn Chilton, Lhasa Ltd. - slides |
| 11.45 | Statistical Analysis of Preclinical Inter-Species Concordance in the eTOX Database
Peter Wright, University of Cambridge - slides |
| | |
| (brief break before next speaker) |
| | |
| | Session 3: Approaches (2) - Pharmacokinetics (PK), MIEs |
| | |
| 12.30 | Machine Learning Models for Predicting Human in vivo PK Parameters Using Chemical Structure and Dose (further reading)
Filip Miljkovic, AstraZeneca - slides |
| 12.55 | Using PBK Models to Reduce Kinetic Uncertainty in Regulatory Risk Assessment
Ross Kelly, Syngenta |
| 13.20 | An In Silico Workflow Integrating Physiologically-Based Pharmacokinetic Modelling and In Vitro Transcriptomic Data to Derive a Health-Based Guidance Value for Perfluorooctanoic Acid
Arthur de Carvalho e Silva, University of Birmingham |
| 13.45 | Structure-Based Prediction of Molecular Initiating Events - Where Are We?
Gerhard Ecker, University of Vienna |
| | |
| (brief break before next speaker) |
| | |
| | Session 4: Applications - Chemicals, Pharma, Consumer Goods, Food |
| | |
| 14.30 | The Use of Bioactivity Descriptors for In Vivo Toxicity Prediction
Jennifer Hemmerich, BASF |
| 14.55 | Towards Causal Modelling of Drug-Induced Toxicity for Preclinical to Clinical Translation
Jitao David Zhang, F. Hoffmann-La Roche AG - slides |
| 15.20 | Evaluating PROTAC Safety - How to do it, and Where can Cell Morphology and In Silico Methods Help? (further reading)
Kevin Moreau, AstraZeneca |
| 15.45 | In Silico Toxicity Prediction for Pre-Clinical Drug Discovery
Layla Hosseini-Gerami, AbsoluteAI - slides |
| 16.10 | Application of QSAR in the Food Sector: The Case of Packaging Chemicals as an Example
Serena Manganelli, Nestle Research |
| 16.35 | Prospectively Validated Virtual Human Platform Enabling High-Accuracy Early Predictions of Clinical Efficacy and Toxicity for Novel Therapeutics (further reading)
Bragi Lovetrue, Demiurge Technologies |
| | |
| | Session 5: Read-Across: Fundamentals and Applications |
| | |
| 17.00 | Quantitative Assessment of Similarity for Read Across (further reading)
Cathy Lester, Procter&Gamble |
| 17.25 | Read-Across: Practical Implementations and Case Studies
Elena Fioravanzo, ToxNavigation - slides |
| | |
| 18.00 | Conference Close |
