[HTML][HTML] Identifying resilience strategies for disruption management in the healthcare supply chain during COVID-19 by digital innovations: A systematic literature …

G Arji, H Ahmadi, P Avazpoor, M Hemmat - Informatics in Medicine …, 2023 - Elsevier
The worldwide spread of the COVID-19 disease has had a catastrophic effect on healthcare
supply chains. The current manuscript systematically analyzes existing studies mitigating …

Detection of COVID-19 using deep learning techniques and cost effectiveness evaluation: a survey

MK MV, S Atalla, N Almuraqab… - Frontiers in Artificial …, 2022 - frontiersin.org
Graphical-design-based symptomatic techniques in pandemics perform a quintessential
purpose in screening hit causes that comparatively render better outcomes amongst the …

New Method for Identification and Response to Infectious Disease Patterns Based on Comprehensive Health Service Data

D Vinsensia, S Amri, J Sihotang… - MATRIK: Jurnal …, 2024 - journal.universitasbumigora.ac.id
Infectious diseases continue to pose a major threat to global public health and require early
detection and effective response strategies. Despite advances in information technology and …

Interpretable temporal attention network for COVID-19 forecasting

B Zhou, G Yang, Z Shi, S Ma - Applied soft computing, 2022 - Elsevier
The worldwide outbreak of coronavirus disease 2019 (COVID-19) has triggered an
unprecedented global health and economic crisis. Early and accurate forecasts of COVID-19 …

Ai-driven talent analytics for strategic hr decision-making in the United States Of America: A Review

O Popo–Olaniyan, OA Elufioye, FC Okonkwo… - International Journal of …, 2022 - fepbl.com
This paper review ways AI and analytics are transforming HR decision-making in American
organizations. It explores the adoption of these technologies in the US, their impact on …

The rise of non-communicable diseases: a global health review of challenges and prevention strategies

O Omotayo, CP Maduka, M Muonde… - International Medical …, 2024 - fepbl.com
Non-communicable diseases (NCDs) have emerged as a major global health concern,
posing significant challenges to healthcare systems worldwide. This paper provides a …

AI-driven Predictive Analytics for Drug Stability Studies

SR Tummala, N Gorrepati - Journal of Pharma Insights and Research, 2024 - jopir.in
Drug stability studies play a pivotal role in ensuring the safety, efficacy, and quality of
pharmaceutical products throughout their shelf life. The advent of artificial intelligence (AI) …

AI-Enabled Data-Driven Approaches for Personalized Medicine and Healthcare Analytics

D Mendhe, A Dogra, PS Nair, S Punitha… - 2024 Ninth …, 2024 - ieeexplore.ieee.org
In the context of personalized medicine and healthcare analytics, this study digs into the
potentially game-changing area of AI-enabled data-driven Approaches. Our research …

On the adoption of modern technologies to fight the COVID-19 pandemic: a technical synthesis of latest developments

A Majeed, X Zhang - COVID, 2023 - mdpi.com
In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize
the spread of COVID-19, and to control its pitfalls for the general public. Without such …

Tackling the global challenges using data-driven innovations

S Akter, S Sultana, A Gunasekaran, RJ Bandara… - Annals of Operations …, 2024 - Springer
The data revolution transforms operations, innovation, and society through artificial
intelligence and advanced analytics. Data-driven innovations (DDI) have the most potential …