The PARC Modelers' Meeting will bring together modelers and data managers from multiple PARC work packages and related activities. This internal meeting aims to review progress, discuss future directions, and strengthen collaborations in the field of chemical risk assessment modeling. 

The meeting will focus on five core modeling areas: 

• Physiologically Based Kinetic (PBK) Models – Covering both toxicokinetic and pharmacokinetic modeling.
• Quantitative Structure-Activity Relationships (QSAR) – Exploring modern machine learning and artificial neural network approaches.
• Artificial Intelligence (AI) in Chemical Risk Assessment (CRA) – Examining AI applications beyond QSAR in CRA.
• Exposure Models – Discussing advancements in exposure modeling techniques.
• Data Management – Addressing challenges and opportunities in data/model organization and integration. 

The meeting will provide a collaborative platform for PARC modelers and data managers to exchange expertise, align strategies, and enhance synergy between different work packages. This event will be instrumental in shaping the future of modeling within PARC, fostering interdisciplinary collaboration, and driving innovation in chemical risk assessment. Participants are encouraged to contribute actively to discussions and knowledge-sharing sessions.