Results 281 to 290 of about 708,016 (372)
Practical research on the cultivation of inter-disciplinary undergraduate nursing talents in the context of "big health". [PDF]
Tan M+5 more
europepmc +1 more source
D‐galactose (D‐gal) induced inner ear hair cell senescence by inhibiting TFEB transcription. RONIN/HCF1 promotes TFEB transcription to prevent cochlear HCs from D‐gal‐induced senescence through autophagy activation. Abstract Age‐related hearing loss is characterized by senescent inner ear hair cells (HCs) and reduced autophagy.
Yongjie Wei+18 more
wiley +1 more source
Keeping healthcare afloat: a protocol for a 5-year multi-sited interdisciplinary research project into preparedness of healthcare for floods in the Netherlands. [PDF]
Borst RAJ+11 more
europepmc +1 more source
Recent Advancements in Lung Cancer Metastasis Prevention Based on Nanostrategies
Metastasis is the leading cause of death in patients with lung cancer. Nanomedicine can be used to prepare efficient drug delivery systems owing to their advantages and plays an important role in the synergistic antimetastasis of lung cancer. This comprehensive review summarizes the emerging nanostrategies against lung cancer metastasis based on the ...
Fan Xu+7 more
wiley +1 more source
A pathogen-detection's odyssey in a case of skull base osteomyelitis: Land ahoy! [PDF]
Althaus L+8 more
europepmc +1 more source
Electrical Microneedles for Wound Treatment
A review on state‐of‐art research concerning electrical microneedles applied for wound treatment is presented. After a comprehensive analysis of mechanisms of electrical stimulation on wound healing, the derived three types of electrical microneedles are clarified and summarized. Further, their applications in wound healing are highlighted.
Yu Wang+6 more
wiley +1 more source
Trends in National R&D Projects on Biomimetics in South Korea. [PDF]
Na H, Kim E.
europepmc +1 more source
This study uses gut microbiome data to predict corticosteroid response in patients with immune thrombocytopenia (ITP). Fecal samples from 212 patients with ITP are sequenced. Six machine‐learning algorithms are used to train predictive models. The support vector machine‐based model integrated clinical data and selected microbial species, diversities ...
Feng‐Qi Liu+38 more
wiley +1 more source