Results 181 to 190 of about 137,500 (231)

Informed consent competency assessment for brain-computer interface clinical research and application in psychiatric disorders: A systematic review. [PDF]

World J Psychiatry
Si JY, Lin ZY, Gan DG, Zhang XY, Liu YN, Hu YX, Bao YP, Wang XQ, Sun HQ, Yu X, Lu L.   +10 more
europepmc   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

Driving factors of agricultural artificial intelligence adoption intention: an empirical study in Shandong province based on innovation characteristics, technology commitment, and individual heterogeneity. [PDF]

Front Artif Intell
Cao K, Wang P, Kong S, Zhang C.
europepmc   +1 more source

Cascade‐Responsive MXene@Cu‐MOF Heterostructure Integrates Antioxidant Activity, Infection Control, and Vascularization for Tracheal Repair

Advanced Science, EarlyView.
A cascade‐responsive MXene@Cu‐MOF/GelMA hydrogel is engineered as a “skeleton–backpack” platform for extensive tracheal repair. The MXene framework scavenges postoperative ROS and converts NIR light into mild hyperthermia, while the Cu‐MOF component provides pH/NIR‐responsive Cu2+ dosing for infection control, angiogenesis, and chondrogenesis.
Liang Guo, Yingran Shen, Jiaoyu Yi, Juanjuan Li, Ziming Wang, Erji Gao, Siqiang Zheng, Zhe‐Sheng Chen, Bo Tao   +8 more
wiley   +1 more source

Disconnected Lives: Social Networks and Emotional Regulation in Domestic Dogs. [PDF]

Animals (Basel)
Grynkiewicz A, Reinholz A, Imbir K.
europepmc   +1 more source

First Generation Proteolysis Targeting Chimeras (PROTACs) for the Treatment of Progeria

Advanced Science, EarlyView.
We report the first PROTACs designed to degrade progerin, introducing a novel therapeutic approach for progeria. The best compound, UCM‐18142, significantly reduces progerin levels and improves key disease phenotypes in patient‐derived cells and in the LmnaG609G/G609G mouse model, paving the way for new treatment strategies targeting the root cause of ...
Jon Macicior‐Michelena, Marcelino Telechea, Daniel Fernández, Alba García‐Martín, Ángeles Canales, Silvia Ortega‐Gutiérrez   +5 more
wiley   +1 more source

Ethical and Legal Aspects of Informed Consent and Assent in Paediatric Dentistry: A Cross-Sectional Study. [PDF]

Children (Basel)
Ferro de Farisato-Touceda MJ, Marqués-Martínez L, García-Miralles E, Aura-Tormos JI, Barona CG.   +4 more
europepmc   +1 more source

Compensatory Interplay Between Clarin‐1 and Clarin‐2 Deafness‐Associated Proteins Governs Phenotypic Variability in Hearing

Advanced Science, EarlyView.
Functional compensation between clarin‐1 and clarin‐2 in cochlear hair cells. Hearing loss associated with CLRN1 mutations shows striking phenotypic variability; however, the underlying mechanisms remain poorly understood. This study reveals that clarin‐1 and clarin‐2 function cooperatively in cochlear hair cells to sustain mechanoelectrical ...
Maureen Wentling, Aïda Yakhlef Sanchez, Nicolas Thelen, Müge Senarisoy, Maria Hogg, Steven Condamine, Andrea Lelli, Emilia Wysocka, Pranav Patni, Sandrine Vitry, Kerem Yasin Yildizhan, Sébastien Le Gal, Sylvie Nouaille, Michael R. Bowl, Marc Thiry, Didier Dulon, Sedigheh Delmaghani, Aziz El‐Amraoui   +17 more
wiley   +1 more source

The ethics of Wegovy: promoting autonomy in pediatric care. [PDF]

Med Health Care Philos
Ryan N, Savulescu J.
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source