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6 articles for “NCDs”
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Leveraging AI and Machine Learning for Early Prediction and Prevention of Non- Communicable Diseases in Resource-Limited Settings
Abstract: Populations in these regions face persistent structural barriers, such as underdeveloped healthcare infrastructure, shortages of trained health professionals, and fragmented or incomplete health information systems. These limitations delay timely diagnosis, restrict access to preventive care, and compromise effective disease management. In recent years, rapid progress in artificial intelligence (AI) and machine learning (ML) has opened promising avenues to mitigate these challenges. Practical applications already emerging include mobile health platforms for …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 9–15 Read article
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Assessment of Knowledge and Estimated Burden of Life Style Diseases in a Rural Community
Abstract: Although rapid human evolution has brought about advancement, it has also caused several lifestyle ailments. People’s daily routines have drastically changed as a result of emerging technologies, and it paved the way for numerous life style disorders. According to reports, lifestyle diseases are a major cause of increased mortality globally. Our study highlights the prevalence of life style diseases in the rural community and the need for early identification and …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 33–38 Read article
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Role of Ginger (Zingiber officinale Roscoe) in Sustainable Health
Abstract: Attaining sustainable health involves a comprehensive blend of multiple factors, including structural, physiological, metabolic, and psychological aspects, alongside the cultivation of self-awareness and a sense of fulfillment. The World Health Organization (WHO) underscores in its 2030 Agenda for Sustainable Development that lifestyle-related illnesses, especially non-communicable diseases (NCDs), present considerable hurdles to sustainable progress, stressing the importance of mitigating their risk factors. Nutrition is acknowledged as a cornerstone of health preservation, …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 72–76 Read article
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AI-Driven Precision Nutrition: Advancing Personalized Dietary Systems for Public Health Equity in Resource-Constrained Environments
Abstract: The dual burden of malnutrition and diet-related non-communicable diseases (NCDs) represents a growing global public health challenge, particularly in low- and middle-income countries. Traditional dietary guidelines are largely population-based and fail to account for individual variability in genetics, metabolism, lifestyle, and environmental exposure. This limitation has led to the emergence of precision nutrition, an evolving field that integrates biological data and computational intelligence to deliver personalized dietary recommendations. This paper …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Performance Evaluation of Dominant Red Barred D922 Breed at Peri-urban Areas of Gurage Zone in SNNPR of Ethiopia
Abstract: Animal production in general and chickens in particular play important socioeconomic roles. The aim of this study was to evaluate the performance of red barred dual breeds in peri-urban areas of the Gurage zone and to determine the economic feasibility under farmers’ management conditions to promote and disseminate the approved technology packages to the users. Participant farmers were selected purposively on the basis of willingness to cover all associated package …
Published in Research and Reviews : Journal of Veterinary Science and Technology Read article
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A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article