Results 211 to 220 of about 2,347,356 (352)

Comparison of Detection Limits for Elemental Mapping by EF-TEM and STEMXEDS [PDF]

open access: bronze, 2002
Masashi Watanabe   +2 more
openalex   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation

open access: yesMolecular Oncology, EarlyView.
Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides   +13 more
wiley   +1 more source

Detection limit of electron spin resonance for Japanese deciduous tooth enamel and density separation method for enamel-dentine separation. [PDF]

open access: yesJ Radiat Res, 2022
Oka T   +10 more
europepmc   +1 more source

X‐Ray Bursts in Neutron Star and Black Hole Binaries from Unconventional Stellar Aspect Experiment andRossi X‐Ray Timing ExplorerData: Detections and Upper Limits [PDF]

open access: bronze, 2003
D. Tournear   +13 more
openalex   +1 more source

Comprehensive profiling of lncRNAs and mRNAs enriched in small extracellular vesicles for early noninvasive detection of colorectal cancer: diagnostic panel assembly and extensive validation

open access: yesMolecular Oncology, EarlyView.
Small extracellular vesicles are a promising source of diagnostic molecules. We conducted a comprehensive study, including transcriptome profiling and RT‐qPCR validation on large cohorts of samples. Diagnostic panels enabling sensitive detection of colorectal cancer and precancerous lesions were established. Some molecules were differentially expressed
Petra Vychytilova‐Faltejskova   +26 more
wiley   +1 more source

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