Results 241 to 250 of about 323,783 (333)

Engineered CAR‐NKT Extracellular Vesicles Suppress Tumor Progression and Enhance Antitumor Immunity

Advanced Science, EarlyView.
TM4SF1‐nanobody engineered CAR‐natural killer T–derived extracellular vesicles (CARTM4SF1‐EVs) provide a cell‐free alternative to CAR‐NKT therapy, achieving potent, targeted antitumor activity with reduced toxicity. CARTM4SF1‐EVs induce immunogenic cell death, remodel the tumor microenvironment, and enhance CD8⁺ T‐cell antitumor immunity.
Xiaopei Hao, Chengming Qu, Yanzhao Zhou, Xiaoqian Wang, Xiangjun Qian, Xun Chen, Feng Han, Xiaokai Zhang, Yiyi Ji, Han Li, ChengWei Ju, Peng Xia, Weiwei Tang, Hao Zhuang, Jinxue Zhou   +14 more
wiley   +1 more source

An 8-Month Systems Toxicology Inhalation/Cessation Study in Apoe−/− Mice to Investigate Cardiovascular and Respiratory Exposure Effects of a Candidate Modified Risk Tobacco Product, THS 2.2, Compared With Conventional Cigarettes [PDF]

, 2016
Blaine Phillips, Emilija Veljkovic, Stéphanie Boué, Walter K. Schlage, Grégory Vuillaume, Florian Martin, Bjoern Titz, Patrice Leroy, Ansgar Buettner, Ashraf Elamin, Alberto Oviedo, Maciej Cabanski, Héctor De León, Emmanuel Guedj, Thomas Schneider, Marja Talikka, Nikolai V. Ivanov, Patrick Vanscheeuwijck, Manuel C. Peitsch, Julia Hoeng   +19 more
openalex   +1 more source

Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture

Advanced Science, EarlyView.
Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang, Gan Miao, Xueyu Zhang, Zhao Shu, Dawei Lu, Yujie Song, Shanfa Yu, Qian Liu, Yang Song, Rong Zhang, Xiaoting Jin, Yuxin Zheng   +11 more
wiley   +1 more source

Insights into the molecular mechanisms of Polygonum multiflorum Thunb-induced liver injury: a computational systems toxicology approach. [PDF]

Acta Pharmacol Sin, 2017
Wang YY, Li J, Wu ZR, Zhang B, Yang HB, Wang Q, Cai YC, Liu GX, Li WH, Tang Y.   +9 more
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

Quantitative Systems Toxicology Analysis of In Vitro Mechanistic Assays Reveals Importance of Bile Acid Accumulation and Mitochondrial Dysfunction in TAK-875-Induced Liver Injury. [PDF]

Toxicol Sci, 2019
Longo DM, Woodhead JL, Walker P, Herédi-Szabó K, Mogyorósi K, Wolenski FS, Dragan YP, Mosedale M, Siler SQ, Watkins PB, Howell BA.   +10 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

Do Variations in State Consultation Programs Affect Construction Fatality Rates?

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Along with its enforcement program, the Occupational Safety and Health Administration (OSHA) has a voluntary consultation program that responds to requests from firms to identify hazards at their workplaces. We studied the effects of this program on fatal work injuries in the construction industry.
Wayne B. Gray, John Mendeloff
wiley   +1 more source