Humans
Showing 68581 to 68590 of 95995 articles
Network-Based Disease Module Discovery by a Novel Seed Connector Algorithm with Pathobiological Implications.
Journal of molecular biology
May 20, 2018
Understanding the genetic basis of complex diseases is challenging. Prior work shows that disease-related proteins do not typically function in isolation. Rather, they often interact with each other to form a network module that underlies dysfunction...
Analysis of hepatitis B virus infection in blood sera using Raman spectroscopy and machine learning.
Photodiagnosis and photodynamic therapy
May 19, 2018
This study presents the analysis of hepatitis B virus (HBV) infection in human blood serum using Raman spectroscopy combined with pattern recognition technique. In total, 119 confirmed samples of HBV infected sera, collected from Pakistan Atomic Ener...
High-Grade Serous Ovarian Cancer: Use of Machine Learning to Predict Abdominopelvic Recurrence on CT on the Basis of Serial Cancer Antigen 125 Levels.
Journal of the American College of Radiology : JACR
May 19, 2018
PURPOSE: The aim of this study was to use machine learning to predict abdominal recurrence on CT on the basis of serial cancer antigen 125 (CA125) levels in patients with advanced high-grade serous ovarian cancer on surveillance.
Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models.
Tuberculosis (Edinburgh, Scotland)
May 19, 2018
Tuberculosis (TB) remains a significant public health challenge, motivated by the diversity of healthcare epidemiological settings, as other factors. Cost-effective screening has substantial importance for TB control, demanding new diagnostic tools. ...
Sputum
Tuberculosis, Pulmonary
Humans
Mycobacterium tuberculosis
Neural Networks, Computer
Female
Bacteriological Techniques
Adult
Decision Support Techniques
Reproducibility of Results
Male
Databases, Factual
Diagnosis, Computer-Assisted
Risk Factors
Middle Aged
Brazil
Young Adult
Decision Support Systems, Clinical
Risk Assessment
Lung
Mass Screening
Prevalence
Predictive Value of Tests
Fully automatic and robust segmentation of the clinical target volume for radiotherapy of breast cancer using big data and deep learning.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
May 19, 2018
PURPOSE: To train and evaluate a very deep dilated residual network (DD-ResNet) for fast and consistent auto-segmentation of the clinical target volume (CTV) for breast cancer (BC) radiotherapy with big data.
Factors associated with dementia in elderly.
Ciencia & saude coletiva
May 18, 2018
We analyzed the factors associated with dementia in the elderly attended at a memory outpatient clinic of the University of Southern Santa Catarina (UNISUL). This is a cross-sectional study with data analysis of medical records from January 2013 to A...
Classifying medical relations in clinical text via convolutional neural networks.
Artificial intelligence in medicine
May 18, 2018
Deep learning research on relation classification has achieved solid performance in the general domain. This study proposes a convolutional neural network (CNN) architecture with a multi-pooling operation for medical relation classification on clinic...
Optimal two-stage dynamic treatment regimes from a classification perspective with censored survival data.
Biometrics
May 18, 2018
Clinicians often make multiple treatment decisions at key points over the course of a patient's disease. A dynamic treatment regime is a sequence of decision rules, each mapping a patient's observed history to the set of available, feasible treatment...
(1)
Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease.
American journal of physiology. Heart and circulatory physiology
May 18, 2018
Extracellular matrix (ECM) proteins have been shown to play important roles regulating multiple biological processes in an array of organ systems, including the cardiovascular system. Using a novel bioinformatics text-mining tool, we studied six cate...
(1)
Mapping Cellular Polarity Networks Using Mass Spectrometry-based Strategies.
Journal of molecular biology
May 18, 2018
Cell polarity is a vital biological process involved in the building, maintenance and normal functioning of tissues in invertebrates and vertebrates. Unsurprisingly, molecular defects affecting polarity organization and functions have a strong impact...
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