Results 141 to 150 of about 12,660 (249)

Integration of Machine Learning With PBPK and QSAR Modeling Approaches to Facilitate Drug Discovery and Development

open access: yesCPT: Pharmacometrics & Systems Pharmacology
This review examines the application of machine learning (ML) in physiologically based pharmacokinetic (PBPK) modeling through improved prediction of input parameters, particularly via quantitative structure–activity relationship (QSAR) models, for ...
Xinyue Chen, Zhoumeng Lin
doaj   +1 more source

Intestinal Organoid‐Based Mathematical Modeling Predicts Clinical Gastrointestinal Toxicity of Oral Oncology Drugs

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 5, May 2026.
ABSTRACT Gastrointestinal (GI) toxicity is a common and potentially severe side effect of antiproliferative cancer therapies that often requires dose reduction or treatment interruption. Despite the clinical implications, there are currently no robust strategies for quantitative preclinical assessment of GI toxicity.
Carmen Pin   +7 more
wiley   +1 more source

From Models to Medicines: A Narrative History and Regulatory Perspective on the Translational Impact of Model‐Informed Drug Development (MIDD)

open access: yesClinical and Translational Science, Volume 19, Issue 5, May 2026.
ABSTRACT Model‐informed drug development (MIDD) has grown from a constellation of methodological advances to a profound reorientation of how evidence is generated, evaluated, integrated, and leveraged in both drug development and regulatory decision‐making.
Issam Zineh
wiley   +1 more source

Health Risk Assessment in Children Occupationally and Para-Occupationally Exposed to Benzene Using a Reverse-Translation PBPK Model. [PDF]

open access: yesInt J Environ Res Public Health, 2023
Pech K   +4 more
europepmc   +1 more source

Clinical Pharmacology and Translational Science Considerations in the Development of Dual‐Payload Antibody Drug Conjugates

open access: yesClinical and Translational Science, Volume 19, Issue 5, May 2026.
ABSTRACT Antibody‐drug conjugates (ADCs) have evolved in the last decade or two from carrying a single chemotherapy payload to carrying highly potent tubulin inhibitors and DNA damaging agents. While the latter have shown success in the clinic, efficacy has been constrained by therapeutic resistance, limited tumor penetration, and suboptimal immune ...
Paulien Ravenstijn   +5 more
wiley   +1 more source

Optimizing Oligonucleotide Therapeutics: A Model‐Informed Drug Development Perspective

open access: yesClinical and Translational Science, Volume 19, Issue 5, May 2026.
ABSTRACT Oligonucleotide therapies have emerged as a powerful therapeutic class, providing novel solutions for diverse diseases through antisense oligonucleotides (ASOs), small interfering RNAs (siRNAs), and aptamers that specifically target and modulate gene expression or protein function. However, oligonucleotide development faces distinct challenges,
Ye Yuan   +7 more
wiley   +1 more source

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