Results 181 to 190 of about 295,414 (245)

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

Quantitative prediction of intravenous drug interactions caused by cytochromes P450 inhibitors and inducers

British Journal of Clinical Pharmacology, EarlyView.
Background Aims Pharmacokinetic interaction studies typically focus on oral administration, but intravenous (IV) administration bypasses intestinal degradation and hepatic first‐pass metabolism, leading to distinct drug–drug interaction (DDI) magnitude. This study aimed to develop a predictive model for DDIs involving IV‐administered drugs.
Vianney Tuloup, Michel Tod, Laurent Bourguignon   +2 more
wiley   +1 more source

Cost‐effectiveness of DPYD genotyping prior to fluoropyrimidine‐based treatment for colorectal cancer in Wales

British Journal of Clinical Pharmacology, EarlyView.
Abstract Background Regulatory guidance in the United Kingdom advises DPYD genotyping prior to fluoropyrimidine‐based treatment. This economic evaluation estimated the costs and outcomes associated with DPYD screening prior to prescribing fluoropyrimidines for colorectal cancer in Wales and also considers additional variants to those included in ...
Catrin O. Plumpton, Sian M. Morgan, Richard A. Adams, Samantha Cox, Angharad A. Rudkin, Megan Fealey, Craig Barrington, Michelle D. Wood, Dyfrig A. Hughes   +8 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

RETRACTED: 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

A Modular Mechanistic In Silico Model for In Vitro Transcription Process Yield and Product Quality Prediction

Biotechnology and Bioengineering, EarlyView.
ABSTRACT In vitro transcription (IVT) plays a critical role in the manufacture of mRNA vaccines and therapeutics. Optimizing mRNA yield and ensuring product quality, such as capping efficiency and integrity, are essential but mechanistically complex. This study presents a modular mechanistic model of the IVT process to advance scientific understanding ...
Keqi Wang, Keilung Choy, Eli Reiser, Jinxiang Pei, Hua Zheng, Aparajita Dasgupta, Fuqiang Cheng, Guogang Dong, Bhanu Chandra Mulukutla, Joshua Mannheimer, Carolyn Huang, Hooman Farsani, Wei Xie   +12 more
wiley   +1 more source

Density Estimates of Endangered Endemic Rodents Suggest Broader Impacts of Invasive Burmese Pythons Following a Category 4 Hurricane in the Florida Keys

Biological Diversity, EarlyView.
Density estimates of two endangered rodent subspecies, endemic to Key Largo, Florida, USA. These findings illustrate the contrasting dynamics of two native species associated with the prevalence of invasive Burmese pythons and global change. The woodrats' decline emphasizes its potential risk of extinction as global change continues to impact island ...
Shauna M. Sayers, Brent S. Pease, Brandon W. McDonald, Isabella R. Collamati, Jeremy D. Dixon, Michael V. Cove   +5 more
wiley   +1 more source

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

Measuring Consumer Aversion Toward AI in Marketing Communication and Assessing Its Relationship to Brand Perceptions and Purchase Intention

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Some consumers exhibit aversion toward artificial intelligence (AI), particularly when it is embedded in persuasive marketing communication (MarCom). Here, we developed and validated a measure of consumer aversion to AI in MarCom and examined its downstream consequences for brand perceptions and purchase intention.
Louvins Pierre, Viviana Carolina Zambrano Rodriguez, Jiayi (Joy) Wang   +2 more
wiley   +1 more source