The use of natural language processing in predictive toxicology

1. Predictive toxicology is often framed as a shortage of data or algorithms. The deeper constraint is that much of our most decision-relevant evidence still sits in unstructured text: papers, stud...

Authors

Thomas Härtung (ORCID: https://orcid.org/0000-0003-1359-7689)

Institutions

Johns Hopkins University (US)

Publication Details

Journal: Expert Opinion on Drug Metabolism & Toxicology
Published: 2026-06-26
DOI: https://doi.org/10.1080/17425255.2026.2692523
Primary Topic: Biomedical Text Mining and Ontologies
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

The use of natural language processing in predictive toxicology

Thomas Härtung

Jun 26, 2026

Expert Opinion on Drug Metabolism & Toxicology

Biomedical Text Mining and Ontologies

article

The use of natural language processing in predictive toxicology

Thomas Härtung

June 26, 2026article en

Abstract

Expert Opinion on Drug Metabolism & Toxicology

Johns Hopkins University (US)

Quality Education

Openalex Percentile: Top 10%

Biomedical Text Mining and Ontologies

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The use of natural language processing in predictive toxicology — Thomas Härtung · Expert Opinion on Drug Metabolism & Toxicology (2026) | TGRS Research Map | TGRS