Results 161 to 170 of about 1,482,586 (339)
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
ABSTRACT Electrochemical biosensors enable the accurate and timely detection of clinical biomarkers, improving healthcare and precision medicine. MXene nanosheets, a class of 2D transition metal carbides, nitrides, and carbonitrides, are promising materials for developing next‐generation electrochemical biosensors due to their unique physicochemical ...
Muhsin Ali +4 more
wiley +1 more source
This review explores the integration of microfluidic technology with organoid systems as an innovative platform for studying menopausea complex multi‐organ condition. By enabling precise simulation of inter‐organ communication and hormone responses, microfluidic organoids offer a physiologically relevant model for investigating menopausal syndrome and ...
Qianyi Zhang +4 more
wiley +1 more source
ADENOID CYSTIC CARCINOMA OF THE PROSTATE A Case Report
Masahito Shindo +2 more
openalex +2 more sources
Gene Expression Analysis of Patients with Prostate Cancer vs Benign Prostate Hyperplasia [PDF]
Mahdi Saeedi
openalex +1 more source
Ovarian Matrisome Dynamics and αvβ3‐Mediated Regulation in Early Follicular Development
The matrisome undergoes dynamic remodeling during early follicular development. Integrin αvβ3 mediates matrisome signals, regulating primordial follicle activation/atresia and secondary follicle growth via Hippo/mTOR pathways, with conserved roles in human ovaries, offering therapeutic targets for ovarian disorders.
Tong Wu +12 more
wiley +1 more source
The treatment of acute and chronic prostatitis in experiment by peptides of the prostate gland
А Г Горбачев +1 more
openalex +2 more sources
E2EGraph: An End-to-end Graph Learning Model for Interpretable Prediction of Pathlogical Stages in Prostate Cancer [PDF]
Wenkang Zhan +4 more
openalex +1 more source

