Primary Care

Virtual-screening workflow tutorials and prospective results from the Teach-Discover-Treat competition 2014 against malaria.

The first challenge in the 2014 competition launched by the Teach-Discover-Treat (TDT) initiative asked for the development of a tutorial for ligand-based virtual screening, based on data from a primary phenotypic high-throughput screen (HTS) against malaria. The resulting Workflows were applied to select compounds from a commercial database, and a subset of those were purchased and tested experim...

A Novel Case of Somatic Mutation in Pediatric-Onset Aldosterone-Producing Adenoma.

Aldosterone-producing adenoma (APA), a subtype of primary aldosteronism, is a common cause of secondary hypertension in adults. Somatic mutations have been identified in about 12%-80% of adult-onset APA. In contrast, there has been no previous reported case of pediatric-onset APA in whom a somatic mutation was confirmed. We report an 11-year-old Japanese girl who had experienced recurrent headac...

Defining and characterizing the critical transition state prior to the type 2 diabetes disease.

BACKGROUND: Type 2 diabetes mellitus (T2DM), with increased risk of serious long-term complications, currently represents 8.3% of the adult population...

Classification and analysis of a large collection of in vivo bioassay descriptions.

Testing potential drug treatments in animal disease models is a decisive step of all preclinical drug discovery programs. Yet, despite the importance ...

Reliability of an automatic classifier for brain enlarged perivascular spaces burden and comparison with human performance.

In the brain, enlarged perivascular spaces (PVS) relate to cerebral small vessel disease (SVD), poor cognition, inflammation and hypertension. We prop...

Training Surgical Residents With a Haptic Robotic Central Venous Catheterization Simulator.

OJECTIVE: Ultrasound guided central venous catheterization (CVC) is a common surgical procedure with complication rates ranging from 5 to 21 percent. ...

Multi-level deep supervised networks for retinal vessel segmentation.

PURPOSE: Changes in the appearance of retinal blood vessels are an important indicator for various ophthalmologic and cardiovascular diseases, includi...

Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning models.

The readily available high throughput screening (HTS) data from the PubChem database provides an opportunity for mining of small molecules in a variet...

Artificial Intelligence Methodologies and Their Application to Diabetes.

In the past decade diabetes management has been transformed by the addition of continuous glucose monitoring and insulin pump data. More recently, a w...

Prediction of marker genes associated with hypertension by bioinformatics analyses.

This study aimed to explore the underlying marker genes associated with hypertension by bioinformatics analyses. A gene expression profile (GSE54015) ...

Development and validation of a high throughput LC-MS/MS method for simultaneous quantitation of pioglitazone and telmisartan in rat plasma and its application to a pharmacokinetic study.

Management of cardiovascular risk factors in diabetes demands special attention due to their co-existence. Pioglitazone (PIO) and telmisartan (TLM) co...

Robot-assisted thoracoscopic lobectomy as treatment of a giant bulla.

BACKGROUND: A bulla is a marked enlarged space within the parenchyma of the lung. Bullae may cause dyspnea by compressing healthy lung parenchyma and ...

Machine Learning Methods to Predict Diabetes Complications.

One of the areas where Artificial Intelligence is having more impact is machine learning, which develops algorithms able to learn patterns and decisio...

The potential impact of the hypovitaminosis D on metabolic complications in obese adolescents - Preliminary results.

INTRODUCTION AND OBJECTIVE: Vitamin D deficiency is common in obesity; however, its contribution in the development of metabolic complications remains...

Novel Imidazo[4,5-c][1,2,6]thiadiazine 2,2-dioxides as antiproliferative trypanosoma cruzi drugs: Computational screening from neural network, synthesis and in vivo biological properties.

A new family of imidazo[4,5-c][1,2,6]thiadiazine 2,2-dioxide with antiproliferative Trypanosoma cruzi properties was identified from a neural network ...

Detection of Intracranial Hypertension using Deep Learning.

Intracranial Hypertension, a disorder characterized by elevated pressure in the brain, is typically monitored in neurointensive care and diagnosed onl...

Towards automatic pulmonary nodule management in lung cancer screening with deep learning.

The introduction of lung cancer screening programs will produce an unprecedented amount of chest CT scans in the near future, which radiologists will ...

Predicting healthcare trajectories from medical records: A deep learning approach.

Personalized predictive medicine necessitates the modeling of patient illness and care processes, which inherently have long-term temporal dependencie...

The influence of the negative-positive ratio and screening database size on the performance of machine learning-based virtual screening.

The machine learning-based virtual screening of molecular databases is a commonly used approach to identify hits. However, many aspects associated wit...

Can machine-learning improve cardiovascular risk prediction using routine clinical data?

BACKGROUND: Current approaches to predict cardiovascular risk fail to identify many people who would benefit from preventive treatment, while others r...