Latest AI and machine learning research in tuberculosis for healthcare professionals.
A growing number of studies are using machine learning models to accurately predict antimicrobial re...
BACKGROUND: Differentiating between ulcerative colitis (UC), Crohn's disease (CD) and intestinal tub...
An increasing number of patients infected with nontuberculous mycobacteria (NTM) are observed worldw...
Of all bacterial infectious diseases, infection by Mycobacterium tuberculosis poses one of the highe...
OBJECTIVES: Performance of deep learning-based automated detection (DLAD) algorithms in systematic s...
The early screening and diagnosis of tuberculosis plays an important role in the control and treatme...
Bovine tuberculosis (bTB) is a zoonotic disease in cattle that is transmissible to humans, distribut...
Preliminary compound identification and peak annotation in gas chromatography-mass spectrometry is u...
OBJECTIVE: The current study has evaluated the MICs and MBCs of ZnONPs, MgONPs, and MgONPs-ZnONPs ag...
OBJECTIVES: To evaluate the differential diagnostic performance of a computed tomography (CT)-based ...
Since December 2019, the Coronavirus Disease (COVID-19) pandemic has caused world-wide turmoil in a ...
Tuberculosis is ranked as the 2nd deadliest disease in the world and is responsible for ten million ...
Indiscriminatory in its spread, COVID-19 has engulfed communities from all social backgrounds throug...
Online activity-based data can be used to aid infectious disease forecasting. Our aim was to exploit...
Current machine learning classifiers have successfully been applied to whole-genome sequencing data ...
Because of the vital role of temperature in many biological processes studied in microfluidic device...
BACKGROUND: There are limited data about Xpert-Ultra performance in different settings, in HIV-infec...
Tuberculosis (TB), an infectious disease caused by Mycobacterium tuberculosis (M.tb), causes highest...
The increase in sophistication of neural network models in recent years has exponentially expanded m...
In recommender systems, matrix factorization and its variants have grown up to be dominant in collab...
Memristors have many uses in machine learning and neuromorphic hardware. From memory elements in dot...