Malaysian Journal of Medical and Biological Research
Not a member yet
144 research outputs found
Sort by
Enhancing Agricultural Efficiency with Robotics and AI-Powered Autonomous Farming Systems
Full text linkThis research investigates the influence of robotics and AI-driven autonomous farming systems on improving agricultural efficiency. The primary objectives are to assess how these technologies enhance agricultural efficiency, accuracy, and resource use and to identify their adoption barriers and trends. The study evaluated agricultural robots and AI case studies using secondary data. According to research, automatic labor-intensive jobs and data-driven choices by robots and AI boost precision agricultural productivity, output, and resource consumption. However, upfront costs, complex technology needs, and data management concerns remain. Tackling these problems is essential for achieving fair and equal adoption. The policy implications indicate that integrating these technologies requires financial incentives, training programs, and robust data protection regulations. The research emphasizes the potential of robots and AI to revolutionize agriculture by overcoming these restrictions and capitalizing on new trends. This transformation aims to enhance efficiency and sustainability to meet the increasing global needs
Species-Level Differentiation of Microbes within Multispecies Microscopic Polyculture via Complex Deep Learning Strategies
Full text linkThe study aims to investigate the differentiation of microbes at the species level within multispecies microscopic polycultures using advanced deep-learning techniques. Utilizing advanced deep learning models such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), this approach focuses on training with extensive datasets of microscopic images to improve the accuracy of microbial identification, spatial mapping, and analysis of temporal dynamics. Fundamental discoveries encompass enhanced precision in microbial identification, unraveling microbial communities\u27 spatial and temporal dynamics, and creating models to forecast microbial responses. Emphasizing the importance of ongoing investment in computational infrastructure, data-sharing initiatives, and interdisciplinary collaboration is crucial for responsibly advancing microbial community analysis. This study emphasizes the significant impact that deep learning technologies can have on understanding microbial ecosystems, solving environmental issues, and driving innovation in biotechnology and medical research
Service Quality of Selected Private Hospitals in Bangladesh
Full text linkService quality is directly connected with the development of the organization in terms of earnings and market share. In the case of the healthcare sector, quality improvement is mandatory to maximize patient satisfaction and maintain competitiveness in the industry. In recent years, Bangladesh has developed the health industry in both public and private sectors, providing quality services that enhance patient satisfaction. This study is focused on the perceptions of service quality in selected private hospitals – Bangladesh Specialized Hospital and Ibn Sina Hospital. The SERVQUAL model was applied to study the gap between patients\u27 perceptions and expectations. The five dimensions for this study – tangibility, reliability, responsiveness, assurance, and empathy depict their relative importance in the empirical research. Factor analysis was performed on a sample size of 155 patients. Findings indicate that tangibility is the uppermost trait, whereas reliability is the least trait in these selected private hospitals. Private medical hospitals\u27 management needs to be more cautious to enhance service quality, patient satisfaction, and patient loyalty in the overall context of the healthcare delivery in Bangladesh
The Role of Community Clinics in Shaping Health Outcomes in Rural Bangladesh: A Qualitative Study
Full text linkRural Bangladesh faces significant challenges in accessing quality healthcare due to limited medical facilities and scarce resources. To address these issues, the Government of Bangladesh has established Community Clinics to provide comprehensive primary healthcare services to underserved rural populations. This study qualitatively explores the role of Community Clinics in influencing health outcomes in rural Bangladesh. It examines key aspects, including community participation, service delivery mechanisms, and the impact of these clinics on the health and well-being of local communities. The findings highlight the potential of Community Clinics to play a vital role in improving health outcomes and strengthening the rural healthcare system
Homeopathy in Epididymal Cyst Management: A Case Report
Full text linkAn epididymal cyst is a scrotal complaint that is usually resolved by surgery. However, multiple post-surgical complications are common, including recurrence, hematoma, abscess, and chronic scrotal swelling. This case study presents homeopathic medicine managing a fairly large-sized epididymal cyst which might encourage physicians to re-think surgical options. A 24 years male presented with pain in the lower pelvic region and swelling in the scrotum; an ultra-sonogram of the scrotum diagnosed a 2.8 cm × 1.9 cm sized epididymal cyst, and Fine Needle Aspiration Cytology (FNAC) confirmed that it was a spermatocele. He was prescribed homeopathic medicine, i.e., Arnica montana, Calcarea fluorica, and Calcarea phosphorica, for his spermatocele. After seven weeks of homeopathic treatment, the cyst size was reduced to 4.8mm×2.2mm. This case study concludes that homeopathic medication resulted in a significant outcome. It also encourages the consideration of homeopathic remedies as an alternative to surgery in treating epididymal cysts
Robust Signal Processing Techniques for Biomedical Applications: Enhancing Diagnosis and Treatment
Full text linkIn biomedical applications, reliable signal processing methods are essential for improving diagnosis and treatment plans. To enhance patient outcomes, this study intends to investigate machine learning, independent component analysis (ICA), wavelet transform, adaptive filtering, and other techniques in analyzing physiological data and medical imaging. The methodology entails a thorough analysis of the body of literature already in existence, with an emphasis on the concepts, practices, and uses of robust signal-processing methods in biological contexts. Important discoveries demonstrate how robust signal processing techniques can reduce artifacts and noise, extract valuable features, allow real-time feedback and monitoring, and aid in customized treatment planning. To fully realize the potential of robust signal processing techniques in healthcare, policy implications emphasize the significance of funding research and development, creating standards and guidelines, encouraging education and training, and cultivating cooperation and data sharing. Robust signal processing methods have the potential to completely transform the medical field by giving doctors insightful knowledge about physiological signals and imaging data, which will eventually enhance patient outcomes, diagnosis, and therapy
Application of High-Pressure Processing in Food Preservation: Impact on Microbial Safety and Nutritional Quality
Full text linkHigh-pressure processing (HPP) has attracted much interest in food preservation because it can improve microbiological safety and maintain nutritional value. This study aims to investigate how HPP affects consumer acceptability, nutritional quality, microbial safety, and market implications. A thorough analysis of the research and literature was done to clarify HPP technology\u27s advantages, opportunities, difficulties, and effectiveness. The results show that HPP successfully regulates bacteria populations while maintaining the food items\u27 sensory qualities and nutritional integrity. On the other hand, issues, including the expense of equipment, adherence to regulations, customer knowledge, and environmental concerns, need to be addressed. To encourage the ethical and efficient use of HPP technology, policy implications include the need for consumer education, sustainable practices, regulatory harmonization, and research funding. HPP has a great deal of promise to improve food sustainability, quality, and safety. Reducing adoption hurdles and encouraging ethical use of HPP technology are crucial to achieving its goals and guaranteeing a safer, healthier food supply for people worldwide
Clinical Study To Assess The Efficacy of A Novel Hair Loss Treatment
Full text linkBackground: Hair loss affects men and women around the world.
Objective: This study analyzed the efficacy of a hair formula named Lotus 39 by Valentino De Salva (Lotus 39) on hair loss.
Methods: Men and women between ages 42 and 72 applied Lotus 39 to their scalp every day for 8 weeks. For ethical reasons, a nonrandomized controlled study protocol was selected
Results: According to the data, Lotus 39 stops hair loss, causes an increase in vellus hair, and an increase total hair count.
Limitations: No control was assigned due to funding, baseline pictures were taken at the onset of the study, during, and at the end of the study to draw a depiction of hair improvement over time.
Conclusion: This study suggests that Lotus 39 improves the health of the scalp and hair.
IRB Approval Status:
Reviewed and approved by IntegReview IRB; approval #CRLNJ2019-019
Impact of Health Financing on Healthcare Quality and Affordability in Malaysia: A Conceptual Review
Full text linkIn comparison to the majority of essential health indices, the health care system in Malaysia has performed exceptionally well. Despite this, it is still behind the techniques used in many other Asian countries, despite its great potential. The primary reason for this is that patients in Malaysia are subjected to a significant amount of financial risk while seeking medical treatment. The implications of health care finance in Malaysia are investigated in this study, with a particular focus on access and equality issues. This exemplifies the urgent requirement for novel ways to the financing of medical care that are compliant with the norms that have been established. According to the findings of this study, it is recommended that efforts should be increased by employing policy changes to include money pooling and risk sharing, subsidization for the poor and the vulnerable, and mandatory enrollment. In addition, it is recommended that the efforts be increased by employing policy changes to include money pooling and risk sharing. Finally, the implication for public policy indicates that the government ought to commit to the tremendously feasible improvement of the nation\u27s healthcare system through spending
Developmental Therapy – A Generic Professional Expertise within Child Development Centers in Bangladesh
Full text linkThe Developmental Therapist (DT) is a unique professional training in occupational therapy, physiotherapy, and speech and language therapy. There is unmet demand for developmental therapists in Bangladesh to manage the increasing number of childhood disabilities. However, no academic institute provides training for Developmental therapists in Bangladesh. This paper explains a three-month structured training program for the exercise of the developmental therapist. After completing this training, the DTs gained some essential skills which help them to assess the functional development of children with neurodevelopmental disabilities, identify their problems and provide appropriate management