Infectious Disease

Bacterial Infection

Latest AI and machine learning research in bacterial infection for healthcare professionals.

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Predicting Gram-Positive Bacterial Protein Subcellular Location by Using Combined Features.

There are a lot of bacteria in the environment, and Gram-positive bacteria are the most common ones....

Aug 2020 32802888
Machine Learning Algorithms Identify Pathogen-Specific Biomarkers of Clinical and Metabolomic Characteristics in Septic Patients with Bacterial Infections.

Sepsis is a high-mortality disease that is infected by bacteria, but pathogens in individual patient...

Jul 2020 32802867
Molecular design of antimicrobial conjugated oligoelectrolytes with enhanced selectivity toward bacterial cells.

A series of cationic conjugated oligoelectrolytes (COEs) was designed to understand how variations i...

Jul 2020 34123085
Machine Learning Platform to Discover Novel Growth Inhibitors of Neisseria gonorrhoeae.

PURPOSE: To advance fundamental biological and translational research with the bacterium Neisseria g...

Jul 2020 32661900
Assessment of Expression System for Overexpression of Active Recombinant Ocriplasmin.

Ocriplasmin (Jetrea TM) is a FDA approved recombinant enzyme utilized in the treatment of vitreomac...

Jun 2020 34513632
Applications of machine-learning methods for the discovery of NDM-1 inhibitors.

The emergence of New Delhi metal beta-lactamase (NDM-1)-producing bacteria and their worldwide sprea...

Jun 2020 32418370
Application of Whole-Genome Sequences and Machine Learning in Source Attribution of Salmonella Typhimurium.

Prevention of the emergence and spread of foodborne diseases is an important prerequisite for the im...

(1)
Jun 2020 32515055
Using X-ray images and deep learning for automated detection of coronavirus disease.

Coronavirus is still the leading cause of death worldwide. There are a set number of COVID-19 test u...

May 2020 32397844
gammaBOriS: Identification and Taxonomic Classification of Origins of Replication in Gammaproteobacteria using Motif-based Machine Learning.

The biology of bacterial cells is, in general, based on information encoded on circular chromosomes....

Apr 2020 32317695
Unified Classification of Bacterial Colonies on Different Agar Media Based on Hyperspectral Imaging and Machine Learning.

A universal method by considering different types of culture media can enable convenient classificat...

Apr 2020 32295273
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks.

In this study, a dataset of X-ray images from patients with common bacterial pneumonia, confirmed Co...

Apr 2020 32524445
ACNNT3: Attention-CNN Framework for Prediction of Sequence-Based Bacterial Type III Secreted Effectors.

The type III secretion system (T3SS) is a special protein delivery system in Gram-negative bacteria ...

Apr 2020 32328150
Machine Learning in Mass Spectrometry: A MALDI-TOF MS Approach to Phenotypic Antibacterial Screening.

Machine learning techniques can be applied to MALDI-TOF mass spectral data of drug-treated cells to ...

(1)
Apr 2020 32191034
Molib: A machine learning based classification tool for the prediction of biofilm inhibitory molecules.

Identification of biofilm inhibitory small molecules appears promising for therapeutic intervention ...

Mar 2020 32229287
Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis.

Tuberculosis (TB), an infectious disease caused by Mycobacterium tuberculosis (M.tb), causes highest...

Mar 2020 32218465
A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections.

Improved identification of bacterial and viral infections would reduce morbidity from sepsis, reduce...

(1)
Mar 2020 32132525
Anti-Microbial Potential of Nano-Emulsion form of Essential Oil Obtained from Aerial Parts of L. as Food Additive.

Foodborne diseases are still a serious problem in public health and natural compounds are being wid...

Feb 2020 33880355
Essential oils against bacterial isolates from cystic fibrosis patients by means of antimicrobial and unsupervised machine learning approaches.

Recurrent and chronic respiratory tract infections in cystic fibrosis (CF) patients result in progre...

Feb 2020 32060344
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