Results 121 to 130 of about 258,157 (266)

Understanding Consumer Attitudes and Awareness After Admission to a Toxicology Unit. [PDF]

Emerg Med Australas
Berling I, Albert-Thenet P, Anderson H, Isbister GK.   +3 more
europepmc   +1 more source

Artificial Piezoelectric Interface Enables Ultrafast Interfacial Ion Kinetic for Highly‐Sensitive Piezoionic Sensors

Advanced Science, EarlyView.
This study proposes a piezoelectric interface modification strategy to amplify the piezoionic effect. The piezoelectric interface generates an intrinsic electric field, which not only drives rapid ion migration but also concentrates polarized ions on the interface. The flexible sensor delivers superior performance, such as a quick response rate, strong
Yanyu Chen, Xingyue Ling, Rizhong Gao, Xiaohong Zhang, Xi Chen, Chao Lu   +5 more
wiley   +1 more source

A paradigm shift and practical exploration in veterinary pharmacology and toxicology teaching reform in China's frontier regions under AI empowerment. [PDF]

Front Vet Sci
Li M, Ma Y, Du Y, Wang X, Zhang H.
europepmc   +1 more source

Breaking Down Lignin: A Macromolecule's Path to the Nanoscale

Advanced Energy and Sustainability Research, EarlyView.
This section highlights lignin's critical role as a sustainable, multifunctional precursor for nanomaterial design. Its unique structure and abundance enable the creation of lignin‐based, lignin‐derived, and hybrid nanomaterials with tunable properties. Emphasis is placed on lignin's potential to drive innovation in nanotechnology, offering ecofriendly
Jelena Papan Djaniš, Jan Hočevar, Griša Grigorij Prinčič, Jernej Iskra   +3 more
wiley   +1 more source

Computational modelling and network medicine in drug toxicology and clinical pharmacovigilance. [PDF]

J Transl Med
Zhao Q, Li X, Balan V.
europepmc   +1 more source

Multifactor Risk Stratification for Post‐Transplant Alcohol Relapse Using Abstinence, Psychosocial, and Socioeconomic Factors

Annals of Gastroenterological Surgery, EarlyView.
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana, Garren Montgomery, Miho Akabane, Matthew Hamilton, Navdeep Singh, Musab Alebrahim, Austin Schenk, Sylvester Black, Kenneth Washburn, Khalid Mumtaz   +9 more
wiley   +1 more source

Stimulant drug misuse in patients presenting to level 1 trauma centres: a retrospective analysis of 80 000 patients in Canada and the United States. [PDF]

Can J Surg
Cristofaro C, Pinsker EB, Daniels TR, Atrey A, Khoshbin A, Halai M.   +5 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source