Bioterrorism

Fold-Change-Specific Enrichment Analysis (FSEA): Quantification of Transcriptional Response Magnitude for Functional Gene Groups.

Gene expression profiling data contains more information than is routinely extracted with standard a...

Letter to the editor: Response to Giardiello D, Antoniou AC, Mariani L, Easton DF, Steyerberg EW.

Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer.

Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and ...

Development of a Bioinformatics Framework for Identification and Validation of Genomic Biomarkers and Key Immunopathology Processes and Controllers in Infectious and Non-infectious Severe Inflammatory Response Syndrome.

Sepsis is defined as dysregulated host response caused by systemic infection, leading to organ failu...

Voice analysis in adductor spasmodic dysphonia: Objective diagnosis and response to botulinum toxin.

INTRODUCTION: Adductor-type spasmodic dysphonia is a task-specific focal dystonia characterized by i...

Artificial neural networks allow response prediction in squamous cell carcinoma of the scalp treated with radiotherapy.

BACKGROUND: Epithelial neoplasms of the scalp account for approximately 2% of all skin cancers and f...

Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone-based survey when cities and towns are under quarantine.

We propose the use of a machine learning algorithm to improve possible COVID-19 case identification ...

Microbial Decolorization of Triazo Dye, Direct Blue 71: An Optimization Approach Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN).

The release of wastewater from textile dyeing industrial sectors is a huge concern with regard to po...

Response to Letter to the Editor.

Machine learning for syndromic surveillance using veterinary necropsy reports.

The use of natural language data for animal population surveillance represents a valuable opportunit...

Somatosensory evoked fields predict response to vagus nerve stimulation.

There is an unmet need to develop robust predictive algorithms to preoperatively identify pediatric ...

A novel method of combining generalized frequency response function and convolutional neural network for complex system fault diagnosis.

To solve the problem of low accuracy in traditional fault diagnosis methods, a novel method of combi...

An artificial neural network to model response of a radiotherapy beam monitoring system.

PURPOSE: The integral quality monitor (IQM) is a real-time radiotherapy beam monitoring system, whic...

Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using a deep learning (DL) method.

BACKGROUND: The aim of the study was to develop a deep learning (DL) algorithm to evaluate the patho...

The damage response framework and infection prevention: From concept to bedside.

Hospital-acquired infections remain a common cause of morbidity and mortality despite advances in in...

Multifactorial Deep Learning Reveals Pan-Cancer Genomic Tumor Clusters with Distinct Immunogenomic Landscape and Response to Immunotherapy.

PURPOSE: Tumor genomic features have been of particular interest because of their potential impact o...

The Detection of Opioid Misuse and Heroin Use From Paramedic Response Documentation: Machine Learning for Improved Surveillance.

BACKGROUND: Timely, precise, and localized surveillance of nonfatal events is needed to improve resp...

FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms.

Early identification of metastatic or recurrent colorectal cancer (CRC) patients who will be sensiti...

Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter.

BACKGROUND: Identification of protein-protein interactions (PPIs) is crucial for understanding biolo...

Fate of pirlimycin and antibiotic resistance genes in dairy manure slurries in response to temperature and pH adjustment.

Quantifying the fate of antibiotics and antibiotic resistance genes (ARGs) in response to physicoche...

Presence of pyrroloquinazoline alkaloid in attenuates inflammatory response through the downregulation of pro-inflammatory mediators in LPS stimulated RAW 264.7 macrophages.

Inflammation is the primary response caused due to harmful stimuli which are followed by the increa...