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Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-positive breast cancer.
Breast Cancer Res
January 2025
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK.
Recent evidence indicates that endocrine resistance in estrogen receptor-positive (ER+) breast cancer is closely correlated with phenotypic characteristics of epithelial-to-mesenchymal transition (EMT). Nonetheless, identifying tumor tissues with a mesenchymal phenotype remains challenging in clinical practice. In this study, we validated the correlation between EMT status and resistance to endocrine therapy in ER+ breast cancer from a transcriptomic perspective.
View Article and Find Full Text PDFCarbon dot embedded hybrid microgel from synthesis to sensing: Experimental and theoretical approach.
Anal Chim Acta
February 2025
Department of Chemistry and Centre of Advanced Studies in Chemistry, Panjab University, Chandigarh, 160014, India; Department of Applied Chemistry, Maulana Abul Kalam Azad University of Technology, Simhat, Haringhata, West Bengal, 741249, India. Electronic address:
Background: The intellectual progress in fabricating artificial probes for selective appraisal of biologically admissible amino acids has displayed exponential growth in recent era.The neoteric era in material science has witnessed the significant application of carbon quantum dots (CQDs). However, the hybrid microgel of CQDs was less explored.
View Article and Find Full Text PDFSelf-powered photoelectrochemical sensor based on molecularly imprinted polymer-coupled CBFO photocathode and AgS/SnS photoanode for ultrasensitive dimethoate sensing.
Anal Chim Acta
February 2025
CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, PR China. Electronic address:
Dimethoate (DIM) is one of the most extensively applied organophosphorus pesticides (OPs), which is used to boost farm productivity due to its high insecticidal efficacy. However, the excessive use of DIM can result in the extensive contamination of soil, groundwater and food. Monitoring of DIM in environmental and food samples is crucial in view of its potential health risks and environmental hazards from excessive residues.
View Article and Find Full Text PDFA wearable electrochemical sensor utilizing multifunctional hydrogel for antifouling ascorbic acid quantification in sweat.
Anal Chim Acta
February 2025
Key Laboratory of Optic-Electric Sensing and Analytical Chemistry for Life Science, MOE, Shandong Key Laboratory of Biochemical Analysis, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China. Electronic address:
The accurate and reliable quantification of the levels of disease markers in human sweat is of significance for health monitoring through wearable sensing technology, but the sensors performed in real sweat always suffer from biofouling that cause performance degradation or even malfunction. We herein developed a wearable antifouling electrochemical sensor based on a novel multifunctional hydrogel for the detection of targets in sweat. The integration of polyethylene glycol (PEG) into the sulfobetaine methacrylate (SBMA) hydrogel results in a robust network structure characterized by abundant hydrophilic groups on its surface, significantly enhancing the PEG-SBMA hydrogel's antifouling and mechanical properties.
View Article and Find Full Text PDFPost-synthesis surface modification of Cu/Zr metal azolate framework: A pathway to highly sensitive electrochemical biosensors for atrazine detection.
Anal Chim Acta
February 2025
Dept. of Electronic Materials Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea. Electronic address:
Background: Atrazine (ATZ), a pesticide that poses serious health problems, is observed in the environment, thereby prompting its periodic monitoring and control using functional biosensors. However, established methods for ATZ detection have limited applicability. Two-dimensional (2D) metal azolate frameworks (MAF) have a higher surface area per unit volume and provide easier access to active sites.
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