Results 71 to 80 of about 12,789,497 (387)

Predicting Alzheimer’s disease progression using multi-modal deep learning approach

open access: yesScientific Reports, 2019
Alzheimer’s disease (AD) is a progressive neurodegenerative condition marked by a decline in cognitive functions with no validated disease modifying treatment.
Garam Lee   +5 more
semanticscholar   +1 more source

Proteomics for prediction of disease progression and response to therapy in diabetic kidney disease [PDF]

open access: yes, 2016
The past decade has resulted in multiple new findings of potential proteomic biomarkers of diabetic kidney disease (DKD). Many of these biomarkers reflect an important role in the (patho)physiology and biological processes of DKD.
Heerspink, Hiddo J.L.   +2 more
core   +2 more sources

The cytoskeletal control of B cell receptor and integrin signaling in normal B cells and chronic lymphocytic leukemia

open access: yesFEBS Letters, EarlyView.
In lymphoid organs, antigen recognition and B cell receptor signaling rely on integrins and the cytoskeleton. Integrins act as mechanoreceptors, couple B cell receptor activation to cytoskeletal remodeling, and support immune synapse formation as well as antigen extraction.
Abhishek Pethe, Tanja Nicole Hartmann
wiley   +1 more source

Extent of lung fibrosis is of greater prognostic importance than HRCT pattern in patients with progressive pulmonary fibrosis: data from the ILD-PRO registry

open access: yesRespiratory Research
Background The prognostic value of patterns and quantitative measures of lung fibrosis on high-resolution computed tomography (HRCT) in patients identified as having progressive pulmonary fibrosis (PPF) has not been established.
Aparna C. Swaminathan   +8 more
doaj   +1 more source

Age-related Differences in Tumour Characteristics and Prognostic Factors for Disease Progression in Cutaneous Squamous Cell Carcinoma of the Head and Neck

open access: yesActa Dermato-Venereologica, 2022
Guidelines for cutaneous squamous cell carcinoma of the head and neck do not take the age of the patient into account, but instead assume equal tumour characteristics and prognostic factors for poor outcome in younger and elderly patients.
Alet J.G. Leus   +8 more
doaj   +1 more source

Speech and language therapy versus placebo or no intervention for speech problems in Parkinson's disease [PDF]

open access: yes, 2012
Parkinson's disease patients commonly suffer from speech and vocal problems including dysarthric speech, reduced loudness and loss of articulation. These symptoms increase in frequency and intensity with progression of the disease).
Brady, Marian C   +6 more
core   +1 more source

B cell mechanobiology in health and disease: emerging techniques and insights into therapeutic responses

open access: yesFEBS Letters, EarlyView.
B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro   +2 more
wiley   +1 more source

Helicobacter pylori and Gastric Cancer: Adaptive Cellular Mechanisms Involved in Disease Progression

open access: yesFrontiers in Microbiology, 2018
Helicobacter pylori (H. pylori) infection is the major risk factor associated with the development of gastric cancer. The transition from normal mucosa to non-atrophic gastritis, triggered primarily by H.
Paula Díaz   +3 more
semanticscholar   +1 more source

Risk Prediction of a Multiple Sclerosis Diagnosis

open access: yes, 2013
Multiple sclerosis (MS) is a chronic autoimmune disease that affects the central nervous system. The progression and severity of MS varies by individual, but it is generally a disabling disease.
Ghosh, Joydeep   +2 more
core   +1 more source

Combined population dynamics and entropy modelling supports patient stratification in chronic myeloid leukemia [PDF]

open access: yes, 2016
Modelling the parameters of multistep carcinogenesis is key for a better understanding of cancer progression, biomarker identification and the design of individualized therapies.
Brehme, Marc   +7 more
core   +1 more source

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