Approaches & Applications

Computational Methods for Drug Evaluation

PBPK, image analysis and predictive models alongside experimental evidence in NAMs and drug evaluation.

Browse pharmacokinetic simulation, image analysis and predictive models used with human-relevant experimental evidence. The collection includes PBPK and related exposure models, as well as tools for quantifying cellular and tissue responses.

Coverage identifies the prediction task, input evidence, reference data and testing scope. Measured observations and model predictions are described separately. Related method profiles are included where the original material supports a defined approach and its evaluation.

Research & Analysis

Review Weighs Image-Analysis Tools for Spheroid and Organoid Drug Screens

A review of bright-field and phase-contrast imaging finds different strengths and limits in rule-based, classical machine-learning and deep-learning analysis of spheroids and organoids. Dataset shifts, segmentation failures and two-dimensional projections remain practical concerns.

NIH Transporter Network Brings NAMs to Early-Life Exposure Questions

A four-center NIH network is studying transporters in the placenta, mammary gland, pediatric intestine and brain. Its published overview describes how organoids, microphysiological systems and computational models contribute to that research strategy.

NephroTox AI's Higher External AUC Comes With 21.7% Coverage

An academic kidney-toxicity model reached an AUC of 0.727 across 247 external compounds. Restricting the analysis to high- or medium-confidence predictions raised AUC to 0.902, but retained only 21.7% of that set.

45-Company Survey Finds NAM Use Most Prevalent in Early Discovery

In an IQ Consortium working-group survey of 45 companies in Asia, the United States and Europe, NAM use was most prevalent in early discovery. Uncertainty about regulatory acceptance and human translatability was cited most often as a barrier.