Results 81 to 90 of about 8,216,381 (305)

Confounding Factors Influencing Amyloid Beta Concentration in Cerebrospinal Fluid [PDF]

open access: yes, 2010
Background. Patients afflicted with Alzheimer's disease (AD) exhibit a decrease in the cerebrospinal fluid (CSF) concentration of the 42 amino acid form ofβ-amyloid (Aβ42).
Henrik Zetterberg   +29 more
core   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

open access: yesMolecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur   +11 more
wiley   +1 more source

Confounding factors in diagnosing brain death: a case report

open access: yesBMC Neurology, 2002
Background Brain death is strictly defined medically and legally. This diagnosis depends on three cardinal neurological features: coma, absent brainstem reflexes, and apnea.
Login Ivan S, Burns Jeffrey M
doaj   +1 more source

The incidence of disability according to possible confounding factors.

open access: yes, 2016
The incidence of disability according to possible confounding factors.
Hiroyuki Shimada (363768)   +5 more
core   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

open access: yesMolecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park   +6 more
wiley   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

open access: yesMolecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Confounding factors of primary venous thromboses and embolisms associated with reproductive behavior of women [PDF]

open access: yesГинекология, 2016
Objective. To identify the major confounding factors of primary venous thromboses and embolisms associated with reproductive behavior of women. Subjects and methods. Retrospective analysis of risk factors for venous thromboembolic events (VTEEs) was made
T E Belokrinitskaya   +4 more
doaj  

Confounding factors in the assessment of delivered hemodialysis dose [PDF]

open access: yesKidney International, 2000
A satisfactory dialysis patient's outcome results from an effective and personalized therapy. However, the higher the prescribed efficiency, the more likely it is that the prescribed dose is incorrectly administered. Avoiding discrepancies between the prescribed and delivered doses calls for a continuous surveillance, from urea kinetics to urea ...
openaire   +2 more sources

Assessment of Confounding Factors Affecting the Tumor Markers SMRP, CA125, and CYFRA21-1 in Serum

open access: yes, 2010
The purpose of this analysis was to evaluate if serum levels of potential tumor markers for the diagnosis of malignant mesothelioma and lung cancer are affected by confounding factors in a surveillance cohort of workers formerly exposed to asbestos. SMRP,
Pesch, B.   +18 more
core   +1 more source

Confounding Factors in the Transcriptome Analysis of an In-Vivo Exposure Experiment. [PDF]

open access: yes, 2016
CONFOUNDING FACTORS:In transcriptomics experimentation, confounding factors frequently exist alongside the intended experimental factors and can severely influence the outcome of a transcriptome analysis.
Annemieke de Vries   +29 more
core   +3 more sources

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