Pulmonology

Tuberculosis

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

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Prediction and functional analysis of prokaryote lysine acetylation site by incorporating six types of features into Chou's general PseAAC.

Lysine acetylation is one of the most important types of protein post-translational modifications (P...

Analysis of tuberculosis disease through Raman spectroscopy and machine learning.

We present the effectiveness of Raman spectroscopy (RS) in combination with machine learning for scr...

Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance.

Mycobacterium tuberculosis is a serious human pathogen threat exhibiting complex evolution of antimi...

QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments.

BACKGROUND: Over the past decade, machine learning techniques have revolutionized how research and s...

Detecting drug-resistant tuberculosis in chest radiographs.

PURPOSE: Tuberculosis is a major global health threat claiming millions of lives each year. While th...

Automatic Lacunae Localization in Placental Ultrasound Images via Layer Aggregation.

Accurate localization of structural abnormalities is a precursor for image-based prenatal assessment...

LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine.

Restricted Boltzmann Machine (RBM) is the building block of Deep Belief Nets and other deep learning...

Ethambutol-induced optic neuropathy in renal disorder: a clinico-electrophysiological study.

OBJECTIVE: To report the spectrum of ethambutol induced optic neuropathy in a group of renal patient...

Computer-aided detection in chest radiography based on artificial intelligence: a survey.

As the most common examination tool in medical practice, chest radiography has important clinical va...

Prototype-Based Compound Discovery Using Deep Generative Models.

Designing a new drug is a lengthy and expensive process. As the space of potential molecules is very...

Deep Convolutional Neural Networks for Chest Diseases Detection.

Chest diseases are very serious health problems in the life of people. These diseases include chroni...

Neuro-cognitive mechanisms of global Gestalt perception in visual quantification.

Recent neuroimaging studies identified posterior regions in the temporal and parietal lobes as neuro...

Evaluation of the VITEK MS knowledge base version 3.0 for the identification of clinically relevant Mycobacterium species.

Different Mycobacterium spp. infections may indicate varied treatment regimens in the clinic. Thus, ...

Towards better prediction of Mycobacterium tuberculosis lineages from MIRU-VNTR data.

The determination of lineages from strain-based molecular genotyping information is an important pro...

Machine learning "red dot": open-source, cloud, deep convolutional neural networks in chest radiograph binary normality classification.

AIM: To develop a machine learning-based model for the binary classification of chest radiography ab...

The comparison of pleural fluid TNF-α levels in tuberculous and nontuberculous pleural effusion.

BACKGROUND: Tuberculous pleural effusion is the manifestation of Mycobacterium tuberculosis infectio...

Inhalable Fucoidan Microparticles Combining Two Antitubercular Drugs with Potential Application in Pulmonary Tuberculosis Therapy.

The pulmonary delivery of antitubercular drugs is a promising approach to treat lung tuberculosis. T...

Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models.

Tuberculosis (TB) remains a significant public health challenge, motivated by the diversity of healt...

The Discovery of an Iridium(III) Dimer Complex as a Potent Antibacterial Agent against Non-Replicating Mycobacterium smegmatis.

Novel agents are urgently needed to rapidly kill drug-resistant . Noble metal complexes, particularl...

Predicting treatment outcome of drug-susceptible tuberculosis patients using machine-learning models.

Tuberculosis (TB) is a deadly contagious disease and a serious global health problem. It is curable ...

Prediction of Multidrug-Resistant TB from CT Pulmonary Images Based on Deep Learning Techniques.

While tuberculosis (TB) disease was discovered more than a century ago, it has not been eradicated y...

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