AIMC Topic: Reproducibility of Results

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The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology.

Oncotarget
Recent advances in deep learning and specifically in generative adversarial networks have demonstrated surprising results in generating new images and videos upon request even using natural language as input. In this paper we present the first applic...

A simplified chart for determining the initial loading dose of teicoplanin in critically ill patients.

Die Pharmazie
AIM OF THE STUDY: A simplified chart to determine the initial loading dose of teicoplanin (TEIC chart) for achieving the target trough concentration was developed. The aim of the present study was to evaluate the usefulness of this chart in criticall...

[Development of an HPLC-UV Method for Free Asparagine in Grains].

Shokuhin eiseigaku zasshi. Journal of the Food Hygienic Society of Japan
A novel analytical method was developed for the determination of free asparagine (Asn), which is a precursor of acrylamide, in grains. Asn was extracted from a sample with 5% (w/v) aqueous trichloroacetic acid solution, and the crude extract was clea...

Formalizing Evidence Type Definitions for Drug-Drug Interaction Studies to Improve Evidence Base Curation.

Studies in health technology and informatics
In this research we aim to demonstrate that an ontology-based system can categorize potential drug-drug interaction (PDDI) evidence items into complex types based on a small set of simple questions. Such a method could increase the transparency and r...

Enhancement of digital radiography image quality using a convolutional neural network.

Journal of X-ray science and technology
Digital radiography system is widely used for noninvasive security check and medical imaging examination. However, the system has a limitation of lower image quality in spatial resolution and signal to noise ratio. In this study, we explored whether ...

An Approach of Non-Linear Systems Through Fuzzy Control Based on Takagi-Sugeno Method.

Advances in experimental medicine and biology
Today, the advanced technology is a part of the everyday's life. As a result, most of the applications used require a more complex system in order to achieve a better performance. These systems have a mathematic background indicating the need of a be...

Roach Biobots: Toward Reliability and Optimization of Control.

IEEE pulse
Imagine a natural disaster, such as an earthquake, causing residential buildings to collapse and trapping the people inside underneath the rubble. Over the following days, first responders spend a significant amount of time locating survivors. Despit...

Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes - ELSA-Brasil: accuracy study.

Sao Paulo medical journal = Revista paulista de medicina
CONTEXT AND OBJECTIVE:: Type 2 diabetes is a chronic disease associated with a wide range of serious health complications that have a major impact on overall health. The aims here were to develop and validate predictive models for detecting undiagnos...