Latest AI and machine learning research in tuberculosis for healthcare professionals.
OBJECTIVE: The asymptomatic nature of tuberculosis (TB) during its latent phase, combined with limit...
Evolvulus alsinoides, a therapeutically valuable shrub can provide consistent supply of secondary me...
In data analysis and forecasting, particularly for multivariate long-term time series, challenges pe...
Verbal autopsy (VA) narratives play a crucial role in understanding and documenting the causes of mo...
OBJECTIVE: To evaluate the effectiveness of a machine learning based on computed tomography (CT) rad...
BACKGROUND: The number of tuberculosis (TB)-related morbidities and mortalities is still high in the...
Artificial Intelligence (AI) is the domain of large resource-intensive data centres that limit acces...
BACKGROUND: Rifampicin resistant tuberculosis remains a global health problem with almost half a mil...
The convergence of the Internet of Things (IoT) with e-health records is creating a new era of advan...
This work proposes a novel technique called Enhanced JAYA (EJAYA) assisted Q-Learning for the classi...
BACKGROUND: Pulmonary tuberculosis (PTB) is a prevalent chronic disease associated with a significan...
Thymidylate kinase (TMK) is a pivotal enzyme in Mycobacterium tuberculosis (Mtb), crucial for phosph...
Tuberculosis (TB) caused by the bacteria Mycobacterium tuberculosis (M. tb), continues to pose a sig...
There remains a clinical need for better approaches to rapid drug susceptibility testing in view of ...
Tuberculosis (T.B.) remains a prominent global cause of health challenges and death, exacerbated by ...
Tuberculous meningitis (TBM) is the most lethal form of tuberculosis. Clinical features, such as com...
BACKGROUND: Current diagnostic methods cannot effectively distinguish between latent tuberculosis in...
BACKGROUND: Tuberculosis spondylitis (TS), commonly known as Pott's disease, is a severe type of ske...
BACKGROUND: Computer-aided detection (CAD) can help identify people with active tuberculosis left un...
SIGNIFICANCE: Frequency-domain diffuse optical tomography (FD-DOT) could enhance clinical breast tum...
Computational approaches are widely applied in drug discovery to explore properties related to bioac...