Toxicity testing in the 21st century: progress in the past decade and future perspectives

D Krewski, ME Andersen, MG Tyshenko… - Archives of …, 2020 - Springer
Advances in the biological sciences have led to an ongoing paradigm shift in toxicity testing
based on expanded application of high-throughput in vitro screening and in silico methods …

Managing the challenge of drug-induced liver injury: a roadmap for the development and deployment of preclinical predictive models

RJ Weaver, EA Blomme, AE Chadwick… - Nature Reviews Drug …, 2020 - nature.com
Drug-induced liver injury (DILI) is a patient-specific, temporal, multifactorial
pathophysiological process that cannot yet be recapitulated in a single in vitro model …

Systems toxicology: from basic research to risk assessment

SJ Sturla, AR Boobis, RE FitzGerald… - Chemical research in …, 2014 - ACS Publications
Systems Toxicology is the integration of classical toxicology with quantitative analysis of
large networks of molecular and functional changes occurring across multiple levels of …

The liver, a functionalized vascular structure

S Lorente, M Hautefeuille, A Sanchez-Cedillo - Scientific Reports, 2020 - nature.com
The liver is not only the largest organ in the body but also the one playing one of the most
important role in the human metabolism as it is in charge of transforming toxic substances in …

Digital twin for drug discovery and development—the virtual liver

K Subramanian - Journal of the Indian Institute of Science, 2020 - Springer
Digital twins are defined as digital replicas of processes, systems or devices developed to
foster deeper understanding and prediction. While the concept of digital twins has largely …

Computational models for human and animal hepatotoxicity with a global application scope

D Mulliner, F Schmidt, M Stolte, HP Spirkl… - Chemical Research …, 2016 - ACS Publications
Hepatic toxicity is a key concern for novel pharmaceutical drugs since it is difficult to
anticipate in preclinical models, and it can originate from pharmacologically unrelated drug …

Application of a mechanistic model to evaluate putative mechanisms of tolvaptan drug-induced liver injury and identify patient susceptibility factors

JL Woodhead, WJ Brock, SE Roth… - Toxicological …, 2017 - academic.oup.com
Tolvaptan is a selective vasopressin V2 receptor antagonist, approved in several countries
for the treatment of hyponatremia and autosomal dominant polycystic kidney disease …

[HTML][HTML] Big data to smart data in Alzheimer's disease: The brain health modeling initiative to foster actionable knowledge

H Geerts, PA Dacks, V Devanarayan, M Haas… - Alzheimer's & …, 2016 - Elsevier
Massive investment and technological advances in the collection of extensive and
longitudinal information on thousands of Alzheimer patients results in large amounts of data …

Assessing liver effects of cannabidiol and valproate alone and in combination using quantitative systems toxicology

VV Lakhani, G Generaux, BA Howell… - Clinical …, 2023 - Wiley Online Library
In clinical trials of cannabidiol (CBD) for the treatment of seizures in patients with Dravet
syndrome, Lennox–Gastaut syndrome, and tuberous sclerosis complex, elevations in serum …

[HTML][HTML] How predictive quantitative modelling of tissue organisation can inform liver disease pathogenesis

D Drasdo, S Hoehme, JG Hengstler - Journal of hepatology, 2014 - Elsevier
From the more than 100 liver diseases described, many of those with high incidence rates
manifest themselves by histopathological changes, such as hepatitis, alcoholic liver disease …