Results 101 to 110 of about 163,352 (307)
Engineering Microbial Particles for Next‐Generation Biomedical Platforms
Advanced Science, EarlyView.Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li +7 more
wiley +1 more source
BMC Cancer, 2018 Background Prostate biopsy is the most common method for the diagnosis of prostate cancer and the basis for further treatment. Confirmation using radical prostatectomy specimens is the most reliable method for verifying the accuracy of template-guided ...
Zhipeng Mai +7 more
doaj +1 more source
Advanced Science, EarlyView.ABSTRACT Blood‐based liquid biopsies hold transformative potential for non‐invasive cancer management, but current approaches relying on rare circulating tumor components limit their broad clinical utility. Platelets, abundant in blood and mediating diverse cancer‐associated responses, represent a compelling yet largely unexplored alternative.
Yan Ma +28 more
wiley +1 more source
Advanced Science, EarlyView.PD‐L1 is primarily expressed in renal tubules and upregulated in both murine models of AKI and renal biopsy samples from patients with AKI. PD‐L1 can promote adaptive TECs repair through interacting with BRCA1, independent of its canonical immunomodulatory function of T cells, and PD‐L1 supplementation may represent a promising therapeutic strategy for
Wei Jiang +17 more
wiley +1 more source
PLoS ONE, 2014 ObjectiveTransperineal ultrasound-guided (TPUS) 12-core prostate biopsy was evaluated as an initial strategy for the diagnosis of prostate cancer, The distribution of prostate cancer lesions was assessed with zone-specific biopsy.MethodsFrom January 2010
Ming-Hua Yao +7 more
doaj +1 more source
A novel TOF-PET MRI detector for diagnosis and follow up of the prostate cancer
, 2017 Prostate cancer is the most common disease in men and the second leading cause of death from cancer. Generic large imaging instruments used in cancer diagnosis have sensitivity, spatial resolution, and contrast inadequate for the task of imaging details ...
E. Monno +17 more
core +1 more source
, 2020 Deep learning models have had a great success in disease classifications using large data pools of skin cancer images or lung X-rays. However, data scarcity has been the roadblock of applying deep learning models directly on prostate multiparametric MRI (
Carver, Eric +11 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Usefulness of Comparing of Magnetic Resonance Imaging (MRI) Findings Prior to Repeat Biopsy and Negative Initial Biopsy as a Decision-Making Method for Repeat Prostate Biopsy [PDF]
, 2014 We retrospectively reviewed the data from a cohort of 44 patients with one initial negative transrectal ultrasound-guided prostate biopsy who underwent a repeat biopsy from 2006 to 2013.
今村, 正明 +5 more
core
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
Advanced Intelligent Discovery, EarlyView.The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source