Peptic Ulcer Disease

Predicting protein complexes using a supervised learning method combined with local structural information.

The existing protein complex detection methods can be broadly divided into two categories: unsupervised and supervised learning methods. Most of the unsupervised learning methods assume that protein complexes are in dense regions of protein-protein interaction (PPI) networks even though many true complexes are not dense subgraphs. Supervised learning methods utilize the informative properties of k...

Probing light chain mutation effects on thrombin via molecular dynamics simulations and machine learning.

Thrombin is a key component for chemotherapeutic and antithrombotic therapy development. As the physiologic and pathologic roles of the light chain still remain vague, here, we continue previous efforts to understand the impacts of the disease-associated single deletion of LYS9 in the light chain. By combining supervised and unsupervised machine learning methodologies and more traditional structur...

Learning-based classification of informative laryngoscopic frames.

BACKGROUND AND OBJECTIVE: Early-stage diagnosis of laryngeal cancer is of primary importance to reduce patient morbidity. Narrow-band imaging (NBI) en...

Viscosity Prediction in a Physiologically Controlled Ventricular Assist Device.

OBJECTIVE: We present a novel machine learning model to accurately predict the blood-analog viscosity during support of a pathological circulation wit...

Support vector machine classifier for prediction of the metastasis of colorectal cancer.

Colorectal cancer (CRC) is one of the most common cancers and a major cause of mortality. The present study aimed to identify potential biomarkers for...

Document triage for identifying protein-protein interactions affected by mutations: a neural network ensemble approach.

The precision medicine (PM) initiative promises to identify individualized treatment depending on a patients' genetic profile and their related respon...

BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics.

Precision medicine aims to provide personalized treatments based on individual patient profiles. One critical step towards precision medicine is lever...

Changes in glomerular filtration rate and outcomes in patients with atrial fibrillation.

BACKGROUND: Patients with kidney disease are more likely to develop atrial fibrillation (AF) than individuals with normal renal function, and more lik...

Molar pregnancy in cesarean section scar: A case report.

Cesarean scar ectopic pregnancies and molar pregnancies are two very rare obstetric pathologies. In both cases, serious morbidities are involved that ...

Polyethylene Glycol for Small Bowel Capsule Endoscopy.

Capsule endoscopy has been the first-line examination for small bowel diseases, yet its diagnostic yield is restricted by unsatisfactory bowel prepara...

Improved perioperative outcomes of laparoscopic distal pancreatosplenectomy: modified lasso technique.

BACKGROUND: Simultaneous division of the splenic artery, splenic vein and pancreatic parenchyma during laparoscopic distal pancreatosplenectomy (LDPS)...

Spontaneous Intraventricular Hemorrhage: When Should Intraventricular tPA Be Considered?

Spontaneous intracerebral hemorrhage (ICH) is the most common cause of intraventricular hemorrhage (IVH) in adults. Complicating approximately 40% of ...

Elevation of serum pyruvate kinase M2 (PKM2) in IBD and its relationship to IBD indices.

OBJECTIVES: Endoscopy remains the gold standard to diagnose and evaluate inflammatory bowel disease (IBD) activity. Current biomarkers or their combin...

In vitro activity of Nigella sativa against antibiotic resistant Salmonella enterica.

Salmonellosis is a major food-borne disease worldwide and antimicrobial resistance in Salmonella is a public health problem. Phytochemicals are altern...

Validation of a definition of excessive postoperative bleeding in infants undergoing cardiac surgery with cardiopulmonary bypass.

OBJECTIVE: To derive and validate an objective definition of postoperative bleeding in neonates and infants undergoing cardiac surgery with cardiopulm...

Identification of genes related to proliferative diabetic retinopathy through RWR algorithm based on protein-protein interaction network.

Proliferative diabetic retinopathy (PDR) is one of the most common complications of diabetes and can lead to blindness. Proteomic studies have provide...

Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification.

The present study aimed to identify the feature genes associated with smoking in lung adenocarcinoma (LAC) samples and explore the underlying mechanis...

Utilizing knowledge base of amino acids structural neighborhoods to predict protein-protein interaction sites.

BACKGROUND: Protein-protein interactions (PPI) play a key role in an investigation of various biochemical processes, and their identification is thus ...

Bismuth ferrite-based photoactive materials for the photoelectrochemical detection of disease biomarkers coupled with multifunctional mesoporous silica nanoparticles.

This work designs a new photoelectrochemical (PEC) sensing system for the detection of carcinoembryonic antigens (CEAs) using bismuth ferrite (BiFeO) ...

Monitoring of antimicrobial susceptibility of udder pathogens recovered from cases of clinical mastitis in dairy cows across Europe: VetPath results.

VetPath is an ongoing pan-European antimicrobial susceptibility monitoring programme collecting pathogens from diseased cattle, pigs and poultry not r...