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日期: 2026 年 2 月 10 日, 星期二

时间: 10am - 11am ET

产品: D360™, ToxStudio®

概述

For toxicologists and safety pharmacologists, in vitro data offer an early warning of clinical hazards. How can we extract the most actionable intelligence from these data? The answer is three-fold: by making the interpretation of risk evidence-based, consistent across projects, and a routine part of the design-make-test-analyze cycle.

Join our to webinar to learn how scientists can detect and interpret risks from pharmacological profiling as a part of lead optimization. We’ll explain how off-target activity, direction of modulation, projected unbound exposure, and clinical precedents all inform the prediction of clinical risk at the point of discovery.

We’ll also share how to embed risk stratification into the DMTA cycle, so teams can prioritize compounds more intelligently, guide chemistry away from liabilities, and reserve in vivo studies for candidates with the highest chance of success.

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Key Learning Objectives:

  • How to contextualize secondary pharmacology data for safety insight
  • How to benchmark off-target risk against clinical precedents
  • How to stratify safety risk early and pragmatically
  • How early safety insight can reduce downstream attrition

This webinar is ideal for:

  • Head of Research and Development
  • Head of Data Innovation
  • Medicinal chemists
  • Safety pharmacologists
  • 毒理学家
  • Biologists

演讲嘉宾:

David Lowis, DPhil

Executive Director of Scientific Informatics, D360

15 年以来,David 一直领导 D360 的设计和开发,范围从小分子发现一直扩展到生物制剂和临床前研究。他是 D360 部署的主题专家,负责检查涉及发现和临床前、临床和转化科学的科学数据工作流程。

Will Redfern, PhD

Vice President, Quantitative Systems Toxicology and Safety

Will 带领 QSTS 团队应用计算方法来评估药物和其他化学品的安全性。他是一位经验丰富的安全药理学家,曾在 Syntex、Quintiles 和 AstraZeneca 任职。他是安全性药理学协会的前任主席。

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