Results 211 to 220 of about 826,121 (282)

An open‐label, single‐arm, dose‐escalating concentration–QT study to investigate the cardiac effects and safety of paroxetine in healthy adults

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aims Paroxetine is a selective serotonin reuptake inhibitor (SSRI), approved for treatment of major depressive disorder and anxiety disorders. Some SSRIs are known to prolong the QT interval; however, clinical evidence to establish a lack of association between paroxetine and corrected QT interval (QTc) prolongation is limited. Therefore, this
Sven C. van Dijkman, Mathieu Félices, Bhaskar Pandurangavittal, Sanman Ghorpade, Caroline Easterbrook, Marcin Zabielski, Oscar Della Pasqua   +6 more
wiley   +1 more source

Population pharmacokinetic modelling of amoxicillin in human breast milk—A contribution from the ConcePTION project

British Journal of Clinical Pharmacology, EarlyView.
Aims Amoxicillin, a widely used β‐lactam antibiotic, requires improved pharmacokinetic characterization during breastfeeding. This study used a population pharmacokinetic (PopPK) approach to model amoxicillin concentrations in breast milk, identify variability sources and estimate infant exposure, applying worst‐case scenarios.
Sarah Baklouti, Virginie Rigourd, Alice Panchaud, Hedvig Nordeng, Karel Allegaert, Pieter Annaert, Miao‐Chan Huang, Anaelle Monfort, Monia Guidi, Peggy Gandia   +9 more
wiley   +1 more source

Efficacy, safety and cost‐effectiveness of CAR‐T therapy

British Journal of Clinical Pharmacology, EarlyView.
CAR T‐cells demonstrate high efficacy in blood cancers, including ALL, MM and DLBCL. Innovations target solid tumours despite challenges such as antigen escape. Combination therapies enhance the delivery and infiltration of CAR T cells. Toxicity, cost and resistance remain major barriers to clinical use.
Emina Karahmet Sher, Amina Džidić‐Krivić, Emma Pinjic, Nejra Selak, Kanita Omerbasic, Alexandar Chupin, Andrej Belancic, Almir Fajkic   +7 more
wiley   +1 more source

Unveiling student sentiment dynamics toward AI‐based education through statistical analysis and Monte Carlo simulation

British Educational Research Journal, EarlyView.
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran, Ercümend Ersanlı, Hurinur Çelik   +2 more
wiley   +1 more source

Learner emotions and performance in hypercasual VR games with adaptive AI difficulty

British Educational Research Journal, EarlyView.
Abstract Hypercasual virtual reality games (HVRGs) are widely regarded as cost‐effective tools for rapid skill acquisition, yet the mechanisms that optimise their effectiveness and user acceptance remain insufficiently explored. This mixed‐methods empirical study investigates how playful emotions, characterised by engagement, enjoyment and anxiety ...
Zeeshan Ahmed, Faizan Ahmad, Chen Hui
wiley   +1 more source

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai, Shriarjun Shastry, Morgan R. Hurst, Arianna Minzoni, Eduardo Barbieri, Luke Remmler, Eugene N. Muratov, Michael A. Daniele, Stefano Menegatti, Alexander Tropsha   +9 more
wiley   +1 more source

The impacts of biological invasions

Biological Reviews, EarlyView.
ABSTRACT The Anthropocene is characterised by a continuous human‐mediated reshuffling of the distributions of species globally. Both intentional and unintentional introductions have resulted in numerous species being translocated beyond their native ranges, often leading to their establishment and subsequent spread – a process referred to as biological
Phillip J. Haubrock, Teun Everts, Neil Angelo S. Abreo, Jamie Bojko, Victor Deklerck, James W. E. Dickey, Ana Clara S. Franco, Emili García‐Berthou, Stelios Katsanevakis, Natalia I. Kirichenko, Stefano Mammola, Martin A. Nuñez, Ben Parker, Riccardo Scalera, Ismael Soto, Diederik Strubbe, Ali Serhan Tarkan, Lorenzo Vilizzi, Tim Adriaens, Paride Balzani, Dagmara Błońska, Elizabeta Briski, Rein Brys, Amy L. Burgess, James E. Byers, Carlos Cano‐Barbacil, Giuseppe Castaldelli, Jaimie T.A. Dick, Victoria Dominguez Almela, Romina D. Dimarco, Margarita Florencio, Antonín Kouba, Melina Kourantidou, Irmak Kurtul, Irene Martín‐Forés, Olivier Morissette, Julian D. Olden, Bruno E. Soares, Jakub Truszkowski, Hugo Verreycken, Marc Kenis, Ronaldo Sousa, J. Robert Britton   +42 more
wiley   +1 more source

Sustainability Assessment of Circular Strategies in the Agri‐Food Industry: The Case of Olive Mills' By‐Product Valorization

Business Strategy and the Environment, EarlyView.
ABSTRACT This study integrates multidimensional sustainability indicators into a unified assessment approach to evaluate circular strategies in agri‐food industry businesses. This methodological approach is applied to empirically examine the case of the olive oil industry's by‐product valorization.
David Polonio, Rubén Granado‐Díaz, José A. Gómez‐Limón, Anastasio J. Villanueva   +3 more
wiley   +1 more source

Search model based on Kalman Filter and Monte Carlo simulation. [PDF]

PLoS One
Liu J, Li Y, Liu X.
europepmc   +1 more source

ESG Performance, Debt Financing, and R&D Output: Evidence From the Healthcare Sector

Business Strategy and the Environment, EarlyView.
ABSTRACT Amid growing calls for sustainability in the healthcare sector, this study examines how and under what conditions environmental, social, and governance (ESG) performance influences research and development (R&D) output. Although existing studies suggest that ESG performance enhances R&D output, the financial mechanisms that enable or constrain
Sarmad Ali, Oriana Ciani, Simone Ghislandi   +2 more
wiley   +1 more source