Artificial intelligence in drug toxicity prediction: recent advances, challenges, and future perspectives

TTV Tran, A Surya Wibowo, H Tayara… - Journal of chemical …, 2023 - ACS Publications
Toxicity prediction is a critical step in the drug discovery process that helps identify and
prioritize compounds with the greatest potential for safe and effective use in humans, while …

A Review of In Silico Tools as Alternatives to Animal Testing: Principles, Resources and Applications

JC Madden, SJ Enoch, A Paini… - … to Laboratory Animals, 2020 - journals.sagepub.com
Across the spectrum of industrial sectors, including pharmaceuticals, chemicals, personal
care products, food additives and their associated regulatory agencies, there is a need to …

Artificial intelligence in cosmetic dermatology: a systematic literature review

P Vatiwutipong, S Vachmanus, T Noraset… - IEEE Access, 2023 - ieeexplore.ieee.org
Over the last ten years, the field of dermatology has experienced significant advancements
through the utilization of artificial intelligence (AI) technologies. The adoption of such …

[HTML][HTML] A review of in silico toxicology approaches to support the safety assessment of cosmetics-related materials

MTD Cronin, SJ Enoch, JC Madden, JF Rathman… - Computational …, 2022 - Elsevier
In silico tools and resources are now used commonly in toxicology and to support the “Next
Generation Risk Assessment”(NGRA) of cosmetics ingredients or materials. This review …

Current status and future directions for a neurotoxicity hazard assessment framework that integrates in silico approaches

KM Crofton, A Bassan, M Behl, YG Chushak… - Computational …, 2022 - Elsevier
Neurotoxicology is the study of adverse effects on the structure or function of the developing
or mature adult nervous system following exposure to chemical, biological, or physical …

In silico approaches in carcinogenicity hazard assessment: current status and future needs

RR Tice, A Bassan, A Amberg, LT Anger… - Computational …, 2021 - Elsevier
Historically, identifying carcinogens has relied primarily on tumor studies in rodents, which
require enormous resources in both money and time. In silico models have been developed …

In silico approaches in organ toxicity hazard assessment: current status and future needs in predicting liver toxicity

A Bassan, VM Alves, A Amberg, LT Anger… - Computational …, 2021 - Elsevier
Hepatotoxicity is one of the most frequently observed adverse effects resulting from
exposure to a xenobiotic. For example, in pharmaceutical research and development it is …

Perspectives of data science in preclinical safety assessment

T Steger-Hartmann, A Kreuchwig, K Wang, F Birzele… - Drug Discovery …, 2023 - Elsevier
Highlights•Preclinical safety may profit from increasing availability of pre-/clinical
data.•Success will depend on appropriate data curation, terminologies, and data platforms.• …

In silico approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart, kidney and lung toxicities

A Bassan, VM Alves, A Amberg, LT Anger… - Computational …, 2021 - Elsevier
The kidneys, heart and lungs are vital organ systems evaluated as part of acute or chronic
toxicity assessments. New methodologies are being developed to predict these adverse …

In silico Prediction of Skin Sensitization: Quo vadis?

GH Ta, CF Weng, MK Leong - Frontiers in Pharmacology, 2021 - frontiersin.org
Skin direct contact with chemical or physical substances is predisposed to allergic contact
dermatitis (ACD), producing various allergic reactions, namely rash, blister, or itchy, in the …