Results 71 to 80 of about 5,951 (176)

Optimizing Venous Thromboembolism Prophylaxis in Burn Patients Using Enoxaparin Through PBPK Modeling. [PDF]

CPT Pharmacometrics Syst Pharmacol
Mim SR, Yellepeddi VK, Azeredo FJ.
europepmc   +1 more source

A Systematic Review of Published Physiologically Based Pharmacokinetic Models for Drug Excretion Into Human Breastmilk: Knowledge Gaps and Opportunities to Optimize Reporting and Modeling Practices

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 8, August 2026.
ABSTRACT Physiologically based pharmacokinetic (PBPK) modeling is increasingly used to predict infant exposure to medications via breast milk. Existing guidance on reporting of PBPK modeling analyses is unstructured and nonbinding to researchers. We evaluated reporting practices and modeling approaches in published PBPK modeling studies.
Joshua Kiptoo, Davies Otieno, Kenta Yoshida, Neel Deferm, Aida Nakayiwa Kawuma, Francis Williams Ojara, Adeniyi Olagunju, Jackson K. Mukonzo, Catriona Waitt   +8 more
wiley   +1 more source

Physiologically Based Pharmacokinetic Model to Predict Drug-Drug Interactions With the Antibody-Drug Conjugate Trastuzumab Deruxtecan. [PDF]

CPT Pharmacometrics Syst Pharmacol
Watanabe A, Gill KL, Chen KF, Jones HM, De Sousa Mendes M, Gardner I, Kotsuma M.   +6 more
europepmc   +1 more source

Identification of drug repurposing candidates for the treatment of polycystic kidney disease

British Journal of Pharmacology, Volume 183, Issue 16, Page 5082-5101, August 2026.
Background and Purpose Autosomal dominant polycystic kidney disease (ADPKD) is a leading cause of end‐stage renal disease with limited treatment options. Drug repurposing offers a promising strategy to find effective treatments. Experimental Approach We identified birinapant, bardoxolone methyl and salicylic acid as repurposing candidates for ADPKD and
Alina Meyer, Paraskevi Sotiropoulou, Koussai Bouker, Dennis Svedberg, Rebekkah Hammar, Hester Bange, Per Larsson, André Mateus, Daniel R. Dietrich, Per Artursson   +9 more
wiley   +1 more source

Model-Based Virtual Clinical Trial Reveals Renal Impairment and Body Size as Key Determinants of Pharmacokinetic Variability and Drug-Drug Interaction Risk in Propranolol Therapy. [PDF]

Pharmaceutics
Marques L, Vale N.
europepmc   +1 more source

Human PBPK Modeling

This deliverable will report the final development of the human PBPK models developed within ...
openaire   +1 more source

Drug–Drug Interaction Risk Assessment Strategies for Biologics in Inflammatory Bowel Disease: A Literature‐Based Evidence Mini‐Review

Clinical and Translational Science, Volume 19, Issue 8, August 2026.
ABSTRACT Biologic therapies are traditionally regarded as having low potential for drug–drug interactions (DDIs) due to their large molecular size and limited direct involvement with drug‐metabolizing enzymes and transporters (DMETs). However, accumulating evidence indicates that these drug products may indirectly modulate DMET activity through ...
Claire Steinbronn, Susan E. Stanley, Tjerk Bueters, Sihem Ait‐Oudhia   +3 more
wiley   +1 more source

Age-Driven Physiologically Based Pharmacokinetic Modeling of Empagliflozin: Toward Precision Dosing in Youth. [PDF]

ACS Pharmacol Transl Sci
Milhm GP, Moreira FL, Abrahim-Vieira BA.
europepmc   +1 more source

Deep‐Learning: An Emerging Tool to Support Model‐Informed Drug Development

Clinical and Translational Science, Volume 19, Issue 8, August 2026.
ABSTRACT Traditional Model‐Informed Drug Development (MIDD) primarily relies on hypothesis‐driven (HD) models based on biological, physiological, and physicochemical principles. While these mechanistic models have been instrumental in drug development and regulatory decision‐making, they may be limited in capturing complex nonlinear relationships. Deep
Roberto Gomeni, Françoise Bressolle‐Gomeni   +1 more
wiley   +1 more source

Physiologically Based Pharmacokinetic-Pharmacodynamic-Based Quantification of Exposure-Response for Sodium Tanshinone IIA Sulfonate in Normal and Cerebral Ischemia-Reperfusion Injury Rats. [PDF]

Biology (Basel)
Chen Y, Zhang J, Zhang Y, Qin T, Jin W, Wang Y, Chen Y, Yu L, Zhang L.   +8 more
europepmc   +1 more source