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Thrombin generation measured on ST Genesia, a new platform in the coagulation routine lab: Assessment of analytical and between-subject variation
(
Wiley Open Access
, 2022 , Article)
Background: The thrombin generation (TG) assay, which measures global coagulation, has mainly been used as a research tool to investigate thrombotic and bleeding disorders. Recently, Diagnostica Stago launched the ST ...
Role of HMGB1 and its associated signaling pathways in human malignancies
(
Elsevier
, 2023 , Article)
The High-Mobility Group Box-1 (HMGB1), a non-histone chromatin-associated protein, plays a crucial role in cancer growth and response to therapy as it retains a pivotal role in promoting both cell death and survival. HMGB1 ...
Implications of Gut Microbiota in Epithelial–Mesenchymal Transition and Cancer Progression: A Concise Review
(
MDPI
, 2022 , Article Review)
Advancement in the development of molecular sequencing platforms has identified infectious bacteria or viruses that trigger the dysregulation of a set of genes inducing the epithelial– mesenchymal transition (EMT) event. ...
Mechanisms underlying the effects of caloric restriction on hypertension
(
Elsevier
, 2022 , Article)
Hypertension is a major risk factor for cardiovascular disease (CVD) as well as a major contributor to all-cause mortality and disability worldwide. The pathophysiology of hypertension is highly attributed to a dysfunctional ...
Deep Learning-Based Conjunctival Melanoma Detection Using Ocular Surface Images
(
springer link
, 2023 , Article)
The human eye could be affected with conjunctival melanoma, which indicates a fatal malignant growth of the eye. Being a very rare disease, there exists a lack of related data in the literature. Also, very few studies ...
Serum metabolic signatures for Alzheimer’s Disease reveal alterations in amino acid composition: a validation study
(
Springer
, 2024 , Article)
Introduction: Alzheimer’s Disease (AD) is complex and novel approaches are urgently needed to aid in diagnosis. Blood is frequently used as a source for biomarkers; however, its complexity prevents proper detection. The ...
Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model
(
Elsevier
, 2023 , Article)
Fetal heart monitoring and early disease detection using non-invasive fetal electrocardiograms (fECG) can help substantially to reduce infant death through improved diagnosis of Coronary Heart Disease (CHD) in the fetus. ...
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern
(
Springer Nature
, 2023 , Article)
Neurodegenerative diseases damage neuromuscular tissues and deteriorate motor neurons which affects the motor capacity of the patient. Particularly the walking gait is greatly influenced by the deterioration process. Early ...
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN
(
Elsevier
, 2024 , Article)
The non-invasive fetal electrocardiogram (fECG) enables easy detection of developing heart abnormalities, leading to a significant reduction in infant mortality rate and post-natal complications. Due to the overlapping of ...
The Role of Apolipoproteins in the Commonest Cancers: A Review
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Apolipoproteins (APOs) are vital structural components of plasma lipoproteins that are involved in lipid metabolism and transport. Recent studies have reported an association between apolipoprotein dysregulation and the ...