Results 91 to 100 of about 3,220 (195)
ASCPT has a mission to advance clinical pharmacology and translational sciences to reduce health disparities. The development, regulatory, and outcomes (DRO) network within ASCPT strives to advance pharmacoequity globally. Pharmacoequity, coined by Utibe Essien (2021), is the principle that all individuals, regardless of race, ethnicity, geography, or ...
Priya Jayachandran +13 more
wiley +1 more source
Interaction of Rifampin and Darunavir-Ritonavir or Darunavir-Cobicistat In Vitro [PDF]
Treatment of HIV-infected patients coinfected with Mycobacterium tuberculosis is challenging due to drug-drug interactions (DDIs) between antiretrovirals (ARVs) and antituberculosis (anti-TB) drugs.
Khoo, Saye +3 more
core +1 more source
The global HIV response aims for widespread availability of affordable, quality‐assured long‐acting antiretroviral (LA ARV) drugs to achieve sustained epidemic control, particularly in low‐ and middle‐income countries. This report summarizes key discussion points, findings, and outcomes from an international workshop on generic LA ARVs, held in ...
Usman Arshad +22 more
wiley +1 more source
Improved scientific basis for human health risk assessment factors by toxicokinetic population modeling [PDF]
Exposure limits or guidelines are derived to protect humans from adverse effects caused by exposure to chemical substances in the environment or at the workplace. The internal dose of a chemical is determined by toxicokinetic (TK) processes such as
Mörk, Anna-Karin
core +1 more source
Making PBPK models more reproducible in practice
Abstract Systems biology aims to understand living organisms through mathematically modeling their behaviors at different organizational levels, ranging from molecules to populations. Modeling involves several steps, from determining the model purpose to developing the mathematical model, implementing it computationally, simulating the ...
Elena Domínguez-Romero +8 more
openaire +3 more sources
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
Development of a physiologically based pharmacokinetic model of actinomycin D in children with cancer [PDF]
AIMS: Use of the anti‐tumour antibiotic actinomycin D is associated with development of hepatotoxicity, particularly in young children. A paucity of actinomycin D pharmacokinetic data make it challenging to develop a sound rationale for defining dosing ...
Adam +30 more
core +1 more source
Contaminants of emerging concern (CECs) in agriculture represent a growing global challenge for food safety and public health. In this review, we synthesized evidence on how substances such as pharmaceuticals, microplastics, and per‐ and polyfluoroalkyl substances (PFAS) enter soils, accumulate in crops, and affect ecological and human health. We found
Laura J. Carter +8 more
wiley +1 more source
Abstract In oncology drug development, measuring drug concentrations at the tumor site and at the targeted receptor remains an ongoing challenge. Positron emission tomography (PET)‐imaging is a promising noninvasive method to quantify intratumor exposure of a radiolabeled drug (biodistribution data) and target saturation by treatment doses in vivo ...
Robin Michelet +8 more
wiley +1 more source
A Computational Systems Biology Software Platform for Multiscale Modeling and Simulation: Integrating Whole-Body Physiology, Disease Biology, and Molecular Reaction Networks [PDF]
Today, in silico studies and trial simulations already complement experimental approaches in pharmaceutical R&D and have become indispensable tools for decision making and communication with regulatory agencies. While biology is multi-scale by nature,
Eissing, Thomas +20 more
core +2 more sources

