Results 91 to 100 of about 88,100 (167)

The contribution of extracellular RNA and its derived biomaterials in disease management

BMEMat, EarlyView.
The implications of exRNA's biological function and the structural uniqueness of RNA help establish a close connection between RNA, material, and modern medicine. Abstract The RNA found in the circular system is known as extracellular RNA (exRNA). This kind of RNA has been found to play a biological role similar to that of a messenger. They can be used
Yu Wei, Zhangyi Wang, Zixuan Qin, Qianqian Wan, Yutao Li, Franklin R. Tay, Chenyu Wang, Tong Zhang, Lina Niu   +8 more
wiley   +1 more source

Artificial kidney: Challenges and opportunities.

World J Transplant
Karageorgos FF, Neiros S, Karakasi KE, Vasileiadou S, Katsanos G, Antoniadis N, Tsoulfas G.   +6 more
europepmc   +1 more source

Liver organoids: From 3D printing to biomedical applications

BMEMat, EarlyView.
A comprehensive review on liver organoids culture techniques from 3D printing to organ‐on‐chip, as well as focusing on challenges and perspectives for advancement liver organoids in various future applications. Abstract The liver is an immune organ, especially an immune tolerance organ.
Ying Shi, Xin Han, Zheng Zhang, Jiangtao Xu, Guozhen Liu   +4 more
wiley   +1 more source

Engineering antibodies with cancer‐associated binding sites

BMEMat, EarlyView.
This review describes antibodies that perform direct/indirect roles in cancer treatment by binding to effective targets and discusses how antibodies kill tumors and modulate tumor microenvironment through these targets. The classification of expression systems for antibody production is summarized to guide appropriate selection based on different ...
Yinqi Tian, Yumeng Pan, Yingchun Zhang, Fangling Wang, Zejun Wang   +4 more
wiley   +1 more source

Antibacterial hydrogel: The sniper of chronic wounds

BMEMat, EarlyView.
The treatment of chronic wounds has always been an important challenge in the medical field. We focus on hydrogels not only because they provide a moist healing environment but also because compared with traditional dressings, they can effectively prevent and treat infections, reduce wound pain and scar formation.
Shengtai Bian, Huijun Ye, Pan Wang, Changxing Li, Xutao Guo, Ming Guan, Shilun Feng   +6 more
wiley   +1 more source

Promising Prodiginins Biological Activities

Chemistry &Biodiversity, EarlyView.
ABSTRACT Prodiginins are a large family of at least 34 pyrrolic compounds, including the well‐studied red pigment prodigiosin. Prodiginins are produced by several microorganisms displaying broad biological activities, including antimicrobial, antiviral, antiparasitic, antiproliferative, and immunosuppressive activities.
María F. Ladetto, Melisa E. Gantner, Boris E. Rodenak‐Kladniew, Santiago Rodriguez, María L. Cuestas, Alan Talevi, Guillermo R. Castro   +6 more
wiley   +1 more source

Improved CKD classification based on explainable artificial intelligence with extra trees and BBFS. [PDF]

Sci Rep
Elshewey AM, Selem E, Abed AH.
europepmc   +1 more source

Harnessing Organometallic Au(III) Complexes as Precision Scaffolds for Next‐Generation Therapeutic and Imaging Agents

ChemBioChem, EarlyView.
Cyclometalated gold(III) complexes offer a versatile platform for selective biological interactions, including cysteine arylation, redox modulation, and enzyme inhibition. This review explores their roles in anticancer, antimicrobial, and protein modification strategies, highlighting their ability to disrupt metabolic pathways, modulate aquaporins, and
Sophie R. Thomas, Riccardo Bonsignore
wiley   +1 more source

Letter Regarding "An Artificial Neural Network-Based Model to Predict Chronic Kidney Disease in Aged Cats". [PDF]

J Vet Intern Med
Wun MK.
europepmc   +1 more source

Protocol for an Integrative Meta‐Analysis of the Application of Machine Learning Algorithms in the Prediction of Chronic Disease Risks and Outcomes

Chronic Diseases and Translational Medicine, EarlyView.
ABSTRACT Background Precise risk prediction of chronic diseases is essential for effective preventive care and management. Machine learning (ML) is a promising avenue to enhance chronic disease risk prediction; however, a comprehensive assessment of ML performance across various chronic diseases, populations, and health settings is needed. Methods This
Ebenezer Afrifa‐Yamoah, Emmanuel Peprah‐Yamoah, Enoch Odame Anto, Victor Opoku‐Yamoah, Eric Adua   +4 more
wiley   +1 more source