Results 91 to 100 of about 1,450,283 (404)

Hoechst Is All You Need: Lymphocyte Classification with Deep Learning [PDF]

open access: yesarXiv, 2021
Multiplex immunofluorescence and immunohistochemistry benefit patients by allowing cancer pathologists to identify several proteins expressed on the surface of cells, enabling cell classification, better understanding of the tumour micro-environment, more accurate diagnoses, prognoses, and tailored immunotherapy based on the immune status of individual
arxiv  

Age-related changes in blood lymphocyte subsets of south Indian children [PDF]

open access: yes, 2003
Background. Enumeration of lymphocyte subsets has been widely used for the diagnosis and monitoring of several haematological and immunological disorders.
Arunkumar, N   +4 more
core  

TCD4pos lymphocytosis in rheumatoid and psoriatic arthritis patients following TNFα blocking agents [PDF]

open access: yes, 2017
BACKGROUND: Lymphocyte expansion and true lymphocytosis are commonly observed in the everyday clinical practice. The meaning of such phenomenon is often poorly understood so that discrimination between benign and malignant lymphocytosis remains ...
Amodeo, Rachele   +11 more
core   +1 more source

Distinct fibroblast subsets drive inflammation and damage in arthritis

open access: yesNature, 2019
The identification of lymphocyte subsets with non-overlapping effector functions has been pivotal to the development of targeted therapies in immune-mediated inflammatory diseases (IMIDs)1,2. However, it remains unclear whether fibroblast subclasses with
A. Croft   +23 more
semanticscholar   +1 more source

Lymphocyte Subset Counts in COVID‐19 Patients: A Meta‐Analysis

open access: yesCytometry Part A, 2020
A reduced peripheral blood absolute lymphocyte count with an elevated neutrophil count has been a consistent observation in hospitalized coronavirus disease 2019 (COVID‐19) patients.
Wei Huang   +7 more
semanticscholar   +1 more source

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

open access: yesMolecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song   +13 more
wiley   +1 more source

Longitudinal Intra- and Inter-individual variation in T-cell subsets of HIV-infected and uninfected men participating in the LA Multi-Center AIDS Cohort Study. [PDF]

open access: yes, 2019
To assess the intra-individual and inter-individuals biological variation and the effect of aging on lymphocyte T-cells subsets.We assessed lymphocyte phenotypes (CD3, CD4, and CD8 T-cells) in 89 HIV-1-infected and 88 uninfected white non-Hispanic men ...
Aziz, Najib   +5 more
core  

II. Detection of an antigen on resting T cells down-regulated after activation [PDF]

open access: yes, 1987
The expression of an antigen on porcine T lymphocytes detected by murine monoclonal antibody (mAb) 8/1 was investigated by functional studies and dual-parameter immunofluorescence.
Bühring, Hans-Jörg   +4 more
core   +1 more source

The relationship between lymphocyte subsets and clinico-pathological determinants of survival in patients with primary operable invasive ductal breast cancer

open access: yesBritish Journal of Cancer, 2013
Background:The importance of lymphocyte subtypes in determining outcome in primary operable ductal invasive breast cancer remains unclear. The aim of present study was to examine the relationship between tumour lymphocyte subsets infiltrate and standard ...
Z. Mohammed   +4 more
semanticscholar   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

open access: yesMolecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes   +20 more
wiley   +1 more source

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