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Bioterrorism

Latest AI and machine learning research in bioterrorism for healthcare professionals.

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Characterisation of nonlinear receptive fields of visual neurons by convolutional neural network.

A comprehensive understanding of the stimulus-response properties of individual neurons is necessary...

A Parametric Design Method for Optimal Quick Diagnostic Software.

Fault diagnostic software is required to respond to faults as early as possible in time-critical app...

Predicting drug response of tumors from integrated genomic profiles by deep neural networks.

BACKGROUND: The study of high-throughput genomic profiles from a pharmacogenomics viewpoint has prov...

De novo assembly of Agave sisalana transcriptome in response to drought stress provides insight into the tolerance mechanisms.

Agave, monocotyledonous succulent plants, is endemic to arid regions of North America, exhibiting ex...

Quantitative Electroencephalography in Guiding Treatment of Major Depression.

This paper reviews significant contributions to the evidence for the use of quantitative electroence...

Objective auditory brainstem response classification using machine learning.

OBJECTIVE: The objective of this study was to use machine learning in the form of a deep neural netw...

Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data.

Individuals with major depressive disorder (MDD) vary in their response to antidepressants. However...

Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer.

OBJECTIVE: To develop different radiomic models based on the magnetic resonance imaging (MRI) radiom...

Clinical intelligence: New machine learning techniques for predicting clinical drug response.

Predicting the response, or sensitivity, of a clinical drug to a specific cancer type is an importan...

The onset and post-onset auditory responses of cochlear nucleus neurons are modulated differently by cortical activation.

Auditory cortex exhibit a capacity of modulating the functions of subcortical auditory nuclei and ev...

Predicting tumor cell line response to drug pairs with deep learning.

BACKGROUND: The National Cancer Institute drug pair screening effort against 60 well-characterized h...

Optimization of the protein extraction method of goat meat using factorial design and response surface methodology.

Protein extraction from goat meat was carried out based on the combination of response surface metho...

Response prediction of nonlinear hysteretic systems by deep neural networks.

Nonlinear hysteretic systems are common in many engineering problems. The maximum response estimatio...

Optimization of spray drying parameters and food additives to reduce glycation using response surface methodology in powdered infant formulas.

The heat-based spray drying process generating the highest level of advanced glycation end-products ...

Dose-response evaluation of a copaiba-containing varnish against streptococcus mutans in vivo.

INTRODUCTION: Dental caries is the most prevalent disease in humans and its incidence is particularl...

Leveraging Knowledge Representation to Maintain Immunization Clinical Decision Support.

Immunizations are one of the most cost-effective interventions for preventing morbidity and mortalit...

Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI.

OBJECTIVE: To investigate the value of machine learning (ML)-based high-dimensional quantitative tex...

Changes in the expression of four ABC transporter genes in response to imidacloprid in Bemisia tabaci Q (Hemiptera: Aleyrodidae).

Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae), a globally invasive species complex that causes...

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