Results 91 to 100 of about 11,033 (240)

AI‐driven circular economy optimization in waste management: A review of current evidence

Environmental Progress &Sustainable Energy, EarlyView.
Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade, Ram Narayan Yadav, James O Ijiwade, Ojima Z. Wada   +3 more
wiley   +1 more source

On optimal designs for clinical trials: An updated review [PDF]

, 2019
Optimization of clinical trial designs can help investigators achieve higher qualityresults for the given resource constraints. The present paper gives an overviewof optimal designs for various important problems that arise in different stages ofclinical
Ryeznik, Yevgen, Sverdlov, Oleksandr, Wong, Weng Kee   +2 more
core   +2 more sources

Intranasal diamorphine population pharmacokinetics modeling and simulation in pediatric breakthrough pain

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 435-447, March 2025.
Abstract Intranasal diamorphine (IND), approved for managing breakthrough pain in the UK, has been identified as an acceptable alternative offering effective, expedient, and less traumatic analgesia for children. However, the current dose regimen in pediatric populations relies on clinical expertise while the pharmacokinetics properties are poorly ...
Lianjin Cai, Jingchen Zhai, Beihong Ji, Fengyang Han, Taoyu Niu, Luxuan Wang, Junmei Wang   +6 more
wiley   +1 more source

Opinion: The Pharmacometrics of Infectious Disease

CPT: Pharmacometrics & Systems Pharmacology, 2013
The application of pharmacometric principles to the treatment of infectious diseases must address important biological issues across the diversity of pathogenic organisms. Recent applications of pharmacometric tools in this therapeutic area have had important translational impact not only in drug development but on real‐world clinical practice.
Davies, G R, Hope, W, Khoo, S
openaire   +2 more sources

A minimal physiologically‐based pharmacokinetic modeling platform to predict intratumor exposure and receptor occupancy of an anti‐LAG‐3 monoclonal antibody

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 460-473, March 2025.
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, Klas Petersson, Marc C. Huisman, C. Willemien Menke‐van der Houven van Oordt, Iris H. C. Miedema, Andrea Thiele, Ghazal Montaseri, Alejandro Pérez‐Pitarch, David Busse   +8 more
wiley   +1 more source

Data-driven modelling of biological multi-scale processes

, 2015
Biological processes involve a variety of spatial and temporal scales. A holistic understanding of many biological processes therefore requires multi-scale models which capture the relevant properties on all these scales.
Hasenauer, Jan, Hross, Sabrina, Jagiella, Nick, Theis, Fabian J.   +3 more
core   +1 more source

Semimechanistic Modeling to Guide Venetoclax Coadministration with Ritonavir and Digoxin

Clinical and Translational Science, 2020
Venetoclax is a cytochrome P450, family 3, subfamily A (CYP3A) substrate and was shown to inhibit P‐gp efflux transporters in vitro. To quantify the impact of CYP3A inhibition by ritonavir on venetoclax disposition and P‐gp inhibition by venetoclax on ...
Ali A. Alhadab, Ahmed Hamed Salem, Kevin J. Freise   +2 more
doaj   +1 more source

Disease Progression Mathematical Modeling With a Case Study on Hepatitis B Virus Infection

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 420-434, March 2025.
ABSTRACT Chronic Hepatitis B presents a significant health and socioeconomic burden. The risk of hepatocellular carcinoma remains elevated although treatments are available. Achieving an optimal treatment regimen necessitates a deep comprehension of the dynamic relationship between the virus and its host across disease states.
Clémence Boivin‐Champeaux, Nieves Velez de Mendizabal, Aksana Jones, Scott Balsitis, Stephan Schmidt, Justin S. Feigelman, Francine Johansson Azeredo   +6 more
wiley   +1 more source

Modeling of Disease Progression of Type 2 Diabetes Using Real‐World Data: Quantifying Competing Risks of Morbidity and Mortality

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 606-615, March 2025.
ABSTRACT Type 2 diabetes (T2D) is a progressive metabolic disorder that could be an underlying cause of long‐term complications that increase mortality. The assessment of the probability of such events could be essential for mortality risk management. This work aimed to establish a framework for risk predictions of macrovascular complications (MVC) and
Hanna Kunina, Stefan Franzén, Maria C. Kjellsson   +2 more
wiley   +1 more source

Evaluation of adalimumab tapering regimens in children and adolescents with juvenile idiopathic arthritis in remission: a simulation study

Pediatric Rheumatology Online Journal
Background Adalimumab (ADM) in children with juvenile idiopathic arthritis (JIA) is usually dosed using fixed weight-based bands (label dosing: 20 mg for  9 mg/L further increased proportion with target exposure to 56–63% while keeping the proportion of ...
Dominic S. Bräm, Verena Gotta, Gilbert Koch, Klervi Golhen, Andreas Woerner, Andrew Atkinson, Johannes N. van den Anker, Marc Pfister, Tatjana Welzel   +8 more
doaj   +1 more source