Results 241 to 250 of about 458,433 (298)

Cystic Lung Phantom to Validate Clinical CT Protocols. [PDF]

open access: yesMethods Protoc
Shah S   +4 more
europepmc   +1 more source

3D Bioprinted Renal Constructs Using Kidney‐Specific ECM Bioink System on Kidney Regeneration

open access: yesAdvanced Healthcare Materials, EarlyView.
A kidney‐specific bioink derived from decellularized porcine kidney tissue supports the encapsulation, viability, and maturation of human primary kidney cells within 3D bioprinted constructs. In vivo, it also promotes the recruitment of host renal progenitor cells, collectively enhancing structural and functional regeneration of renal tissue.
Gabriel Carreno‐Galeano   +4 more
wiley   +1 more source

Integrin β4‐Enriched Small Extracellular Vesicle as Drug Delivery Vehicle for Targeting Pulmonary Metastasis of Hepatocellular Carcinoma

open access: yesAdvanced Healthcare Materials, EarlyView.
The expression of integrin β4 (ITGβ4) on small extracellular vesicle (sEV) correlates with lung‐tropism. Enrichment of ITGβ4 on sEVs enhances their lung‐targeting ability. The sEVs loaded with doxorubicin exhibit superior therapeutic efficacy in a lung metastasis mouse model.
Tung Him Ng   +7 more
wiley   +1 more source

Development of a Modular Ribonucleoprotein Complex as a General Strategy to Deliver RNAi Therapeutics

open access: yesAdvanced Healthcare Materials, EarlyView.
A modular and customizable RNAi therapeutics delivery platform composed of a pseudosymmetric human RNA binding protein‐siRNA complex (SmiRNP) is developed. By fusing a targeting module and an endosomal escape peptide onto the delivery platform, SmiRNP successfully delivered siRNA to silence the KRAS oncogene in a colorectal carcinoma cell line, leading
Nok Yin Tam   +9 more
wiley   +1 more source

Machine‐Learning‐Aided Advanced Electrochemical Biosensors

open access: yesAdvanced Materials, EarlyView.
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan   +9 more
wiley   +1 more source

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