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Bioterrorism

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

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Characterizing root response phenotypes by neural network analysis.

Roots play an immediate role as the interface for water acquisition. To improve sustainability in lo...

Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine.

Standard methods for the analysis of functional MRI data strongly rely on prior implicit and explici...

Predicting Methylphenidate Response in ADHD Using Machine Learning Approaches.

BACKGROUND: There are no objective, biological markers that can robustly predict methylphenidate res...

Optimization protocol for the extraction of antioxidant components from Origanum vulgare leaves using response surface methodology.

In the present work, the response surface methodology (RSM) based on a central composite rotatable d...

Acute caffeine administration affects zebrafish response to a robotic stimulus.

Zebrafish has been recently proposed as a valid animal model to investigate the fundamental mechanis...

Magnetization directions and geometries of helical microswimmers for linear velocity-frequency response.

Recently, there has been much progress in creating microswimmers or microrobots capable of controlle...

Cytotoxic response of platinum-coated gold nanorods in human breast cancer cells at very low exposure levels.

Because of unique optical behavior gold nanorods (GNRs) have attracted attention for the application...

Cerium oxide nanoparticle aggregates affect stress response and function in Caenorhabditis elegans.

OBJECTIVE: The continual increase in production and disposal of nanomaterials raises concerns regard...

Fertility response in postpartum anoestrus buffaloes (Bubalus bubalis) using modified Ovsynch based timed insemination protocols.

BACKGROUND AND AIM: Suboestrus constitutes the largest factor responsible for poor reproductive effi...

Live predators, robots, and computer-animated images elicit differential avoidance responses in zebrafish.

Emotional disturbances constitute a major health issue affecting a considerable portion of the popul...

Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction.

OBJECTIVE: Currently, depression diagnosis relies primarily on behavioral symptoms and signs, and tr...

Novel method to predict body weight in children based on age and morphological facial features.

A new and novel approach of predicting the body weight of children based on age and morphological fa...

Preparation of agar nanospheres: comparison of response surface and artificial neural network modeling by a genetic algorithm approach.

Multivariate nature of drug loaded nanospheres manufacturing in term of multiplicity of involved fac...

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