Inflammatory Bowel Disease

Dosing interval and diagnosis predict infliximab levels in patients with inflammatory bowel disease on maintenance treatment.

OBJECTIVE: The aim of the study was to identify factors influencing infliximab (IFX) trough levels (...

A comparison of logistic regression and artificial neural networks in predicting central lymph node metastases in papillary thyroid microcarcinoma.

OBJECTIVE: Prophylactic central lymph node dissection(CLND) is a controversial issue in papillary th...

[Implementation of artificial intelligence into colonoscopy: experience of research and development of computer-aided diagnostic system for endocytoscopy].

NLPReViz: an interactive tool for natural language processing on clinical text.

The gap between domain experts and natural language processing expertise is a barrier to extracting ...

Procalcitonin in inflammatory bowel disease: Drawbacks and opportunities.

The measurement of procalcitonin has recently become a mainstay for the diagnosis and therapeutic ma...

Predicting Hospitalization and Outpatient Corticosteroid Use in Inflammatory Bowel Disease Patients Using Machine Learning.

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic disease characterized by unpredictable epi...

Efficacy of eculizumab in an adult patient with HIV-associated hemolytic uremic syndrome: A case report.

INTRODUCTION: Hemolytic uremic syndrome (HUS) in Human Immunodeficiency Virus (HIV)-positive patient...

Machine Learning-Based Gene Prioritization Identifies Novel Candidate Risk Genes for Inflammatory Bowel Disease.

BACKGROUND: The inflammatory bowel diseases (IBDs) are chronic inflammatory disorders, associated wi...

Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings.

OBJECTIVE: Widespread application of clinical natural language processing (NLP) systems requires tak...

Machine Learning Algorithms for Objective Remission and Clinical Outcomes with Thiopurines.

BACKGROUND AND AIMS: Big data analytics leverage patterns in data to harvest valuable information, b...

Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging.

Surgical cancer resection requires an accurate and timely diagnosis of the cancer margins in order t...

Deep Learning: A Primer for Radiologists.

Deep learning is a class of machine learning methods that are gaining success and attracting interes...

Development of a Robotic Colonoscopic Manipulation System, Using Haptic Feedback Algorithm.

PURPOSE: Colonoscopy is one of the most effective diagnostic and therapeutic tools for colorectal di...

Renal Function in Type 2 Diabetes Following Gastric Bypass.

BACKGROUND: Metabolic surgery for obese patients with type 2 diabetes (T2D) yields short- and long-t...

The co-regulators SRC-1 and SMRT are involved in interleukin-6-induced androgen receptor activation.

BACKGROUND: The androgen receptor (AR) can be stimulated by interleukin-6 (IL-6) in the absence of a...

[Remission of Advanced Gastric Cancer with Concurrent Portal Vein Tumor Thrombosis via Chemotherapy - A Case Report].

The following is a case report of moderately differentiated tubular adenocarcinoma of the stomach wi...

Anti-inflammatory Effect of Amitriptyline on Ulcerative Colitis in Normal and Reserpine-Induced Depressed Rats.

Depressive disorders are more common among persons with chronic diseases such as inflammatory bowel ...

Terpenoids and Steroids from Euphorbia hypericifolia.

Two new triterpenoids and two new sterols, named euphyperins A-D (1-4), including an oleanane-type t...

HUMAN DNA QUANTIFICATION IN THE STOOLS OF PATIENTS WITH COLORECTAL CANCER.

BACKGROUND: Colorectal cancer is one of the main cause of cancer in the world. Colonoscopy is the be...

[Biologic effects of different concentrations of putrescine on human umbilical vein endothelial cells].

OBJECTIVE: To explore the effects of different concentrations of putrescine on proliferation, migrat...

Distinct Transcriptional and Anti-Mycobacterial Profiles of Peripheral Blood Monocytes Dependent on the Ratio of Monocytes: Lymphocytes.

The ratio of monocytes and lymphocytes (ML ratio) in peripheral blood is associated with tuberculosi...