Browsing by Author "Pedersen, Shona"
Now showing items 1-18 of 18
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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 ... -
Exploring the Role of microRNAs in Glioma Progression, Prognosis, and Therapeutic Strategies
( MDPI , 2023 , Article)Gliomas, which arise from glial cells in the brain, remain a significant challenge due to their location and resistance to traditional treatments. Despite research efforts and advancements in healthcare, the incidence of ... -
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. ... -
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 ... -
MLIP and Its Potential Influence on Key Oncogenic Pathways
( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article Review)Muscle-enriched A-type lamin-interacting protein (MLIP) is an emerging protein involved in cellular homeostasis and stress adaptation. Eukaryotic cells regulate various cellular processes, including metabolism, DNA repair, ... -
Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
( Springer Nature Link , 2025 , Article)Accurately predicting the severity of subarachnoid hemorrhage (SAH) is critical for informing clinical decisions and improving patient outcomes. This study addresses the challenges of imbalanced data in SAH severity ... -
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 ... -
Neural signals, machine learning, and the future of inner speech recognition
( Frontiers , 2025 , Article)Inner speech recognition (ISR) is an emerging field with significant potential for applications in brain-computer interfaces (BCIs) and assistive technologies. This review focuses on the critical role of machine learning ... -
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 ... -
Performance Evaluation of Artificial Intelligence Techniques in the Diagnosis of Brain Tumors: A Systematic Review and Meta-Analysis.
( Springer Nature , 2025 , Article Review)Brain tumors are becoming more prevalent, often leading to severe disability and high mortality rates due to their poor prognoses. Early detection is critical for improving patient outcomes. These tumors pose substantial ... -
Proteomic analysis reveals potential biomarker candidates in serous ovarian tumors – a preliminary study
( Termedia Publishing House Ltd. , 2025 , Article)Introduction: Ovarian serous cystadenocarcinoma (SCA), a deadly gynecologic cancer, often goes undetected until the late stages. Tissue proteomics unveils disease heterogeneity, enhancing tumor classification and enabling ... -
Proteomic Profiling of Small-Cell Lung Cancer: A Systematic Review
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)The accurate diagnosis of small-cell lung cancer (SCLC) is crucial, as treatment strategies differ from those of other lung cancers. This systematic review aims to identify proteins differentially expressed in SCLC compared ... -
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 ... -
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 ... -
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 ... -
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 ... -
Unraveling the proteomic signatures of coronary artery disease and hypercholesterolemia.
( The Association of Basic Medical Sciences , 2024 , Article)Atherosclerosis, a leading cause of coronary artery disease (CAD), is heavily influenced by hypercholesterolemia (HC). Proteomics research has shown promise in identifying biological markers for CAD diagnosis and prognosis. ...
