Results 71 to 80 of about 208,761 (297)

Bayesian AEWMA control chart under ranked set sampling with application to reliability engineering. [PDF]

open access: yesSci Rep, 2023
Khan I   +6 more
europepmc   +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

New generalized-X family: Modeling the reliability engineering applications. [PDF]

open access: yesPLoS One, 2021
Wang W   +5 more
europepmc   +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

A Machine-Learning-Based Prediction Method for Hypertension Outcomes Based on Medical Data

open access: yesDiagnostics, 2019
The outcomes of hypertension refer to the death or serious complications (such as myocardial infarction or stroke) that may occur in patients with hypertension.
Wenbing Chang   +6 more
doaj   +1 more source

Bayesian Estimation for Reliability Engineering: Addressing the Influence of Prior Choice. [PDF]

open access: yesInt J Environ Res Public Health, 2021
Leoni L   +5 more
europepmc   +1 more source

Nicotinamide N‐methyltransferase promotes drug resistance in lung cancer, as revealed by nascent proteomic profiling

open access: yesMolecular Oncology, EarlyView.
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou   +5 more
wiley   +1 more source

Decrypting cancer's spatial code: from single cells to tissue niches

open access: yesMolecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik   +4 more
wiley   +1 more source

The influence of ROS1 fusion partners and resistance mechanisms in ROS1‐TKI‐treated non‐small cell lung cancer patients

open access: yesMolecular Oncology, EarlyView.
This real‐world study of ROS1+ NSCLC highlights fusion diversity, treatment outcomes with crizotinib and lorlatinib, and in vitro experiments with resistance mechanisms. G2032R drives strong resistance to ROS1‐targeted TKIs, especially lorlatinib. Fusion partner location does not affect overall survival to crizotinib or lorlatinib. Findings support the
Fenneke Zwierenga   +8 more
wiley   +1 more source

Reliability Testing Strategy - Reliability in Software Engineering

open access: yes, 2016
This paper presents the core principles of reliability in software engineering - outlining why reliability testing is critical and specifying the process of measuring reliability. The paper provides insight for both novice and experts in the software engineering field for assessing failure intensity as well as predicting failure of software systems ...
openaire   +2 more sources

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