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

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Program

Monday 21 July

• 13.00 FAIR Data Management, Anastasios Papadiamantis (Entelos)

• 15.00 A Data Preparation for Predictive Toxicology Modelling and Analysis, Thomas Luechtefeld (Insilica)

• 17.00 QSAR models for NMs: challenges and approaches, Enrique Llobet & Martina Palomino (ProtoQSAR)

Tuesday 22 July

• 13.00 OCHEM - platform for winning Challenges, Igor Tetko (Helmholtz Munich and BIGCHEM GmbH)

• 15.00 PARCopedia - building a community to innovate chemical risk assessment, Matthias Herzler (BfR)

• 17.00 Reasoning language models for chemistry, Andrew White (FutureHouse)

Wednesday 23 July

• 13.00 In Silico Toxicodynamics with VHP4Safety Services, Marvin Martens, David Poole, Linde Schoenmaker, Filippo Di Tillio (VHP4Safety consortium)

• 15.00 Application of toxicokinetics in extrapolating in vitro new approach method data to in vivo using open-source online tools, Nynke Kramer (Wageningen University)
• 17.00 How to set up and use Python machine learning environment for machine learning in chemistry/drug design at the privacy of your own computer, Wojtek Plonka (Fujitsu)

Thursday 24 July

• 13.00 Applications in Toxicology of predictive model combinations, Eric March Vila (UPF)

• 15.00 Materials’ Toxicity Investigation using the freely accessible tools of Enalos Cloud Platform, Panagiotis D. Kolokathis (NovaMechanics)

• 17.00 StopTox: In Silico NAM for Acute Systemic and Topical Toxicity, Cleber Melo-Filho (University of North Carolina)

Friday 25 July

• 13.00 In silico tools for AOP-driven hazard assessment - from target prediction to biological fingerprints, Gerhard Ecker & Palle Steen Helmke (University of Vienna)

• 14.00 Data Retrieval supporting Predictive Toxicology, Agnes Karmaus (Syngenta)

• 16.00 Participant Presentations and Feedback on Summer School Activities and Exercises

• 16.30 Final Wrap up Session with Awards and Recognition of Contributions from Presenters and Participants