Search
Search Results
-
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides
Deep Learning (DL) can predict biomarkers from cancer histopathology. Several clinically approved applications use this technology. Most approaches,...
-
Restricting datasets to classifiable samples augments discovery of immune disease biomarkers
Immunological diseases are typically heterogeneous in clinical presentation, severity and response to therapy. Biomarkers of immune diseases often...
-
Disease specific urinary biomarkers in the central nervous system
Urinary biomarkers can diagnose and monitor pathophysiologic conditions in the central nervous system (CNS). However, focus is often on single...
-
Neuroimaging and fluid biomarkers in Parkinson’s disease in an era of targeted interventions
A major challenge in Parkinson’s disease is the variability in symptoms and rates of progression, underpinned by heterogeneity of pathological...
-
A comprehensive database of exosome molecular biomarkers and disease-gene associations
Exosomes play a crucial role in intercellular communication and can be used as biomarkers for diagnostic and therapeutic clinical applications....
-
Cerebrospinal fluid reference proteins increase accuracy and interpretability of biomarkers for brain diseases
Cerebrospinal fluid (CSF) biomarkers reflect brain pathophysiology and are used extensively in translational research as well as in clinical practice...
-
Analysis and identification of oxidative stress-ferroptosis related biomarkers in ischemic stroke
Studies have shown that a series of molecular events caused by oxidative stress is associated with ferroptosis and oxidation after ischemic stroke...
-
Plasma biomarkers predict Alzheimer’s disease before clinical onset in Chinese cohorts
Plasma amyloid-β (Aβ)42, phosphorylated tau (p-tau)181, and neurofilament light chain (NfL) are promising biomarkers of Alzheimer’s disease (AD)....
-
Revealing novel biomarkers for diagnosing chronic kidney disease in pediatric patients
Pediatric chronic kidney disease (CKD) is a clinical condition characterized by progressive renal function deterioration. CKD diagnosis is based on...
-
Evaluation of endothelial glycocalyx injury biomarkers in feline hemotropic mycoplasmosis
The present study aimed to investigate endothelial glycocalyx (eGCx) damage in cats with feline hemotropic mycoplasmosis caused by Mycoplasma...
-
Predicting early Alzheimer’s with blood biomarkers and clinical features
Alzheimer’s disease (AD) is an incurable neurodegenerative disorder that leads to dementia. This study employs explainable machine learning models to...
-
Exploratory risk prediction of type II diabetes with isolation forests and novel biomarkers
Type II diabetes mellitus (T2DM) is a rising global health burden due to its rapidly increasing prevalence worldwide, and can result in serious...
-
Biomarkers of UVB radiation-related senescent fibroblasts
Excessive exposure to ultraviolet (UV) light is known to induce photoaging in the skin, necessitating the development of effective anti-photoaging...
-
Cox proportional hazards regression in small studies of predictive biomarkers
Predictive biomarkers are essential for personalized medicine since they select the best treatment for a specific patient. However, of all biomarkers...
-
Machine Learning-Enhanced Extraction of Biomarkers for High-Grade Serous Ovarian Cancer from Proteomics Data
Comprehensive biomedical proteomic datasets are accumulating exponentially, warranting robust analytics to deconvolute them for identifying novel...
-
Identifying potential biomarkers of idiopathic pulmonary fibrosis through machine learning analysis
Idiopathic pulmonary fibrosis (IPF) is the most common and serious type of idiopathic interstitial pneumonia, characterized by chronic, progressive,...
-
Inflammatory biomarkers at different stages of Sarcopenia in older women
In recent years, studies have found that Sarcopenia alters inflammatory biomarkers. However, the behavior of inflammatory biomarkers at different...
-
Proteomic analysis of serum extracellular vesicles from biliary tract infection patients to identify novel biomarkers
Biliary tract infection (BTI), a commonly occurring abdominal disease, despite being extensively studied for its initiation and underlying...
-
Circulating microRNAs from plasma as preclinical biomarkers of epileptogenesis and epilepsy
Epilepsy frequently develops as a result of brain insult; however, there are no tools allowing to predict which patients suffering from trauma will...
-
Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning
Osteoarthritis (OA) is increasing in prevalence and has a severe impact on patients’ lives. However, our understanding of biomarkers driving OA risk...
