Candice Johnson

Candice Johnson

Candice Johnson, PhD

Senior Research Scientist

Instem

Candice Johnson, Ph.D. is a Senior Research Scientist at Instem. Dr. Johnson has co-authored several peer-reviewed publications describing the implementation of in silico approaches and methodologies for gaining confidence in in silico predictions. Her work expands into novel application of in silico approaches and supports the advancement of alternative methods. She is particularly interested in the application of computational tools to support toxicological evaluations; for example, in the assessment of extractables and leachables.

Speaked About
March 5, 2026
Gain insights into the latest techniques for testing and analyzing Extractables and Leachables. Access full recordings of all sessions from the two-day event.
Upcoming

DAY 1: March 5th, 2026

SESSION: Characterization of structural clusters for Extractables and Leachable (E&L) risk assessment

◆  Exploration of the E&L chemical space in terms of structural information, physicochemical properties and toxicity data using a compiled dataset of potential E&Ls from public and proprietary sources

◆  A comparative analysis of chemical properties and clusters between the public dataset and a proprietary dataset derived from NDAs and ANDAs.

◆  Discuss variability in chemical features, physicochemical properties, and toxicity between and within clusters.

◆  Assess the coverage of an existing toxicological database for applicability to E&L structures and to support read-across assessments for PDE derivation.

4th Annual Extractables & Leachables
March 7, 2024
What is next in testing and analyzing for extractables and leachables in biopharmaceutical development and release? Recording of 2 days event sessions [18 video sessions].
Expired

DAY 1: March 7th, 2024

SESSION: Approaches to the use of in silico methods in the toxicological assessment of extractables and leachables

◆  Discusses various contexts in which in silico methods are applied in E&L assessments.

◆  Defines the fitness-for-purpose of in silico models in these contexts.

◆  Demonstrates how in silico profiling could be used to support read-across assessments.

Speaker Details
Speaker Details