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Joaquim Pinto
Universidade Nacional Timor Loro Sa'e, Timor-Leste
Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health

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The AI Revolution in Medicine: Predicting, Preventing, and Curing Diseases with Artificial Intelligence Joaquim Pinto
Medical Studies and Health Journal (SEHAT) Vol. 1 No. 1 (2024): Medical Studies and Health Journal (SEHAT)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/4g38qj27

Abstract

This research aims to explore the use of artificial intelligence (AI) in disease risk prediction and disease prevention through a systematic review of literature from 2019 to 2024. The research method used is an analysis of scientific articles published in international journals Scopus Q1. The research results show a significant increase in the use of AI in disease risk prediction, especially in the context of neurodegenerative diseases, cardiovascular conditions, cancer, and autoimmune diseases. The implications of this research include the potential of AI in improving the accuracy of disease risk predictions, providing timely interventions, and improving the clinical management of patients. However, the use of AI in disease risk prediction is also faced with various ethical challenges and impacts, including limited available health data, the complexity of AI models, complex interpretation of results, and privacy and fairness issues. The practical implication of this research is the need for a holistic and sustainable approach in the development and implementation of AI models in disease prevention, which takes into account the complex challenges and opportunities associated with the use of AI in health contexts.
Challenging Aging: Extending Lifespan and Improving Quality of Life with Science and Technology Joaquim Pinto
Medical Studies and Health Journal (SEHAT) Vol. 1 No. 1 (2024): Medical Studies and Health Journal (SEHAT)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/rvpfpc52

Abstract

The recent integration of gene therapy, cell therapy, and nanomedicine technologies has become a promising research focus in extending lifespan and improving quality of life in aging populations. This study aims to conduct a systematic review of the latest literature discussing the application of these three technologies in the context of aging. The research method used is a systematic analysis of articles selected from international databases such as PubMed, Scopus, and Web of Science, using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method as a guide. The results of the discussion show that the integration of gene therapy, cell therapy, and nanomedical technology has great potential in overcoming various aging problems and improving the quality of life in the elderly population. The implication of this research is the importance of continuing to develop integrated therapeutic approaches to respond to the challenges of aging, taking into account ethical, social and safety aspects in their application in clinical practice and the development of appropriate health policies.
Precision Medicine: The Future of Medicine Tailored to Individual Patients Ermelinda da Costa Monteiro; Joaquim Pinto
Medical Studies and Health Journal (SEHAT) Vol. 1 No. 1 (2024): Medical Studies and Health Journal (SEHAT)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/mdmm9p95

Abstract

Genome sequencing technology and genomic analysis have become important tools in the realm of personalized medicine, revolutionizing diagnostic and treatment strategies tailored to each patient individually. This systematic literature review explores the implications of genome sequencing and analysis technologies in the context of personalized medicine, with the aim of clarifying their potential and challenges. Through a thorough examination of the relevant literature, including studies of genome sequencing technologies, pan-genome analysis, and the integration of genomic data in clinical decision making, this review provides insight into the current state and future directions of personalized medicine. These findings underscore the importance of genomic literacy, cross-disciplinary collaboration, and ethical considerations in realizing the full potential of personalized medicine. By highlighting advances, limitations, and implications of genome sequencing and analysis, this review contributes to the ongoing discourse on precision medicine and informs research and clinical practice in this rapidly developing field.
Co-Authors Ermelinda da Costa Monteiro