Artificial intelligence in pharmaceutical and healthcare research

SK Bhattamisra, P Banerjee, P Gupta… - Big Data and Cognitive …, 2023 - mdpi.com
Artificial intelligence (AI) is a branch of computer science that allows machines to work
efficiently, can analyze complex data. The research focused on AI has increased …

[HTML][HTML] Machine and deep learning for tuberculosis detection on chest x-rays: systematic literature review

S Hansun, A Argha, ST Liaw, BG Celler… - Journal of medical Internet …, 2023 - jmir.org
Background Tuberculosis (TB) was the leading infectious cause of mortality globally prior to
COVID-19 and chest radiography has an important role in the detection, and subsequent …

Forecasting the seasonality and trend of pulmonary tuberculosis in Jiangsu Province of China using advanced statistical time-series analyses

Q Liu, Z Li, Y Ji, L Martinez, UH Zia… - Infection and drug …, 2019 - Taylor & Francis
Objective Forecasting the seasonality and trend of pulmonary tuberculosis is important for
the rational allocation of health resources; however, this foresting is often hampered by …

[HTML][HTML] Use of digital technology to enhance tuberculosis control: scoping review

Y Lee, MC Raviglione, A Flahault - Journal of medical Internet research, 2020 - jmir.org
Background Tuberculosis (TB) is the leading cause of death from a single infectious agent,
with around 1.5 million deaths reported in 2018, and is a major contributor to suffering …

Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial neural networks, Holt-Winters exponential smoothing and …

DA Adeyinka, N Muhajarine - BMC medical research methodology, 2020 - Springer
Background Accurate forecasting model for under-five mortality rate (U5MR) is essential for
policy actions and planning. While studies have used traditional time series modeling …

Machine learning to predict the adsorption capacity of microplastics

G Astray, A Soria-Lopez, E Barreiro, JC Mejuto… - Nanomaterials, 2023 - mdpi.com
Nowadays, there is an extensive production and use of plastic materials for different
industrial activities. These plastics, either from their primary production sources or through …

Numerical simulations of vaccination and Wolbachia on dengue transmission dynamics in the nonlinear model

P Junsawang, S Zuhra, Z Sabir, MAZ Raja… - IEEE …, 2022 - ieeexplore.ieee.org
In this study, it is indicated that the world can get rid of the dengue virus by using vaccines
and Wolbachia. In many findings, it is observed that Wolbachia therapy is efficacious in …

[HTML][HTML] Temporal patterns selection for All-Cause Mortality prediction in T2D with ANNs

P Novitski, CM Cohen, A Karasik, G Hodik… - Journal of Biomedical …, 2022 - Elsevier
Mortality prevention in T2D elderly population having Chronic Kidney Disease (CKD) may
be possible thorough risk assessment and predictive modeling. In this study we investigate …

A survey on XAI for beyond 5G security: technical aspects, use cases, challenges and research directions

T Senevirathna, VH La, S Marchal, B Siniarski… - arXiv preprint arXiv …, 2022 - arxiv.org
With the advent of 5G commercialization, the need for more reliable, faster, and intelligent
telecommunication systems are envisaged for the next generation beyond 5G (B5G) radio …

Automated detection of Mycobacterium tuberculosis using transfer learning

AU Ibrahim, E Guler, M Guvenir, K Suer, S Serte… - The Journal of Infection …, 2021 - jidc.org
Abstract Introduction: Quantitative analysis of Mycobacterium tuberculosis using microscope
is very critical for diagnosing tuberculosis diseases. Microbiologist encounter several …