Malaysian Journal of Medical and Biological Research
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Navigating Global Pandemic Impact: Insights from Bangladesh\u27s Health Sector Challenges and Mitigation Strategies
Full text linkThe global impact of COVID-19 on the world economy, societal systems, and healthcare has been profound. Developing countries, particularly Bangladesh, faced severe consequences, exacerbating humanitarian challenges. This article examines the disparities in national responses during the early stages of the pandemic, emphasizing the diverse influence on local and regional levels. Marginalized groups, especially those in poverty, bore the brunt of the crisis. Governmental levels grappled with extreme uncertainty. Employing secondary data analysis and a descriptive research design, the study delves into the regional effects of the COVID-19 crisis with a specific focus on Bangladesh\u27s health sector. The primary goal is highlighting pandemic difficulties and proposing mitigation strategies, offering valuable insights for crisis management and public policy
Revolutionizing Healthcare: The Impact of Robotics on Health Services
Full text linkThis in-depth essay investigates the revolutionary effects of robotics on the medical field, focusing on areas such as robotic surgery, telemedicine, rehabilitation robotics, and robotic prosthetics. Specifically, the article examines the uses of robotics in these areas. The study tackles better accuracy, enhanced patient experiences, skill augmentation, and ethical considerations in examining its substantial influence on patient outcomes and the professionals who provide healthcare. It explores problems, such as technological and legislative considerations, while imagining a future integrating artificial intelligence and human-robot collaboration. To successfully reach the goal of a seamless confluence of robotics and healthcare, multidimensional teamwork is required to optimize benefits and successfully negotiate ethical challenges
Harnessing Biomedical Signals: A Modern Fusion of Hadoop Infrastructure, AI, and Fuzzy Logic in Healthcare
Full text linkThis research investigates the combination of Hadoop infrastructure, artificial intelligence (AI), and fuzzy logic in analyzing biological signals. The goal is to improve the efficiency of data processing, accuracy of diagnosis, and management of uncertainty in healthcare. Secondary data, performance measurements, and case studies are analyzed to evaluate the technology. The significant results indicate that Hadoop\u27s scalable architecture significantly decreases the time required for preprocessing, while AI approaches dramatically enhance the accuracy of diagnosis for different biological inputs. Fuzzy logic aids in managing ambiguity and produces interpretable outcomes, improving diagnostic accuracy. However, creating fuzzy logic rules, getting high-quality data, and using computer resources remain issues. The policy implications include a need for better sharing of data, more excellent professional training, and the creation of uniform integration procedures. These steps will enhance the widespread use of these sophisticated technologies, resulting in more precise and efficient interpretation of biological signals and eventually enhancing patient care and results
Biomarkers of Lung Cancer: Meta-analysis of Biomarkers Used to Identify Types of Lung Cancers Based on the Morphology and Histology
Full text linkCancer of the lung is a malignant lung tumor with a wide range of histological variants. The tumor arises from different types of cells, such as bronchioles, epithelium, bronchial mucous glands, or the alveoli. How effective the treatment depends on the histological variant of the lung tumor. It is therefore necessary that the histology of cancer and the respective biomarkers be accurately identified. Detection of malignant cells is possible only when the clinician has an accurate knowledge of the origin and nature of these cells. It is pertinent to state that these malignant cells release certain biomarkers into the general circulation. Currently, screening for malignant tumors is done with various panels of biomarkers. To date, there is no one serum biomarker capable of identifying the various lung cancer types. As such, accurate diagnosis is done only with immunohistochemistry and histological analysis of tumor biopsies. This article discusses the different protein biomarkers employed in the diagnosis of lung cancer and recent advances in uniform biomarker discovery
HPTLC Profile of Phenolic Compounds Presents in Extracts Obtained from Different Varieties of White and Red Grape Pomace
Full text linkGrape pomace is used in different areas in the food and food supplement, cosmetic, pharmaceutic industries, and for compost or animal food. The chemical composition is different between white and red grapes varieties, depending also on the sort of wine obtained. Grape pomace contains various chemical compounds from the following classes: phenolics, proteins, minerals, lipids. Our goal was to show the HPTLC fingerprint for quality evaluation and total phenol content for the quantitative evaluation of extracts obtained from 4 varieties of grape pomace (Feteasca regala, Riesling, Burgund, Cabernet Sauvignon). The extracts were obtained by UAE and MAE. The HPTLC fingerprints of the extract shown that there are 4 compounds present in all samples: rutin, hyperoside and, chlorogenic and caffeic acids. In all samples was observed the presence of resveratrol. Total phenol content expressed as gallic (GAE) acid equivalents per 100ml extract were between 4.75% and 13.08%
Risk of Neurodegeneration in Patients with Morgellons Disease: A Focus on the Potential Risk of Developing Alzheimer’s
Full text linkMorgellons disease is a distressing dermatologic condition that typically presents with multiple, non-healing skin lesions with filamentous protrusions. Initial presentation of the condition can often include various neurological symptoms with dermatologic symptoms. Common neurological symptoms include neuropathy, cognitive impairment, and dementia. Recent studies reveal that spirochetes are a causative agent of Morgellons disease. Chronic spirochete infection is strongly associated with neurodegeneration seen in dementia and Alzheimer’s disease. This paper will provide a brief overview of Morgellons and Alzheimer’s disease and will explore the possible risk of developing Alzheimer’s in Morgellons patients
Outcomes of Intervention in Children with Language Difficulties in Bangladesh
Full text linkBackground: Both clinical audits within hospitals, and population-based surveys of childhood disability in Bangladesh, have shown that large numbers of children have speech and language difficulties. This study determined the improvement of language skills of children presenting with difficulties to the Speech, Language and Communication (SLC) clinic of the Child Development Center (CDC) in Dhaka Shishu (Children) Hospital (DSH).
Methodology: This is a retrospective study where records of children enrolled from April 2009 to March 2014, who had visited the SLC Clinic at least 3 times over a span of 6 months were analyzed. Preverbal language skills, comprehension, and expressive language levels were measured informally based upon play and interactive sessions and observation of function. Interventions involved training parents on informal intervention techniques following some international standard guidelines. Pre and post-intervention observations on preverbal, comprehensive, and expressive language skills were recorded to determine outcomes.
Results: Of the 706 enrolled children 11.0%, 79.2%, 9.5%, .3% were 0-<2 years, 2-<5 years, >5-9 and 10-16 years old, respectively. 69.5% of children were males. Preverbal skills (attention span, awaiting, eye contact, attention sharing, turn-taking, copying), comprehension, and expressive language status showed significant improvement between the first and last visit (p= 0.000)
Conclusions: Interactive play, music, books, etc. are important means of improving communication between parents and children. Professionals working with developmentally delayed children need to be trained to utilize these strategies, with the provision of appropriate facilities within clinical settings. A large majority of children can be assisted to overcome delays and optimize their potential
Impact of Machine Learning in Neurosurgery: A Systematic Review of Related Literature
Full text linkMachine learning is a domain within artificial intelligence that allows for computer algorithms to be learned from experience without them having being programmed. The objective of this study is to summarize the neurosurgical applications of machine learning when compared to clinical expertise. This study uses a systematic search to review articles from the PubMed and Embase databases in comparing various machine learning studies approaches to that of the clinical experts. For this study, 23 studies were identified which used machine learning algorithms for the diagnosis, pre-surgical planning, and outcome prediction. In conclusion, this study identifies that machine learning models can augment decision-making capacity for the surgeons and clinicians in neurosurgical applications. Despite this, there still exist hurdles that involve creation, validation, and the deployment of the machine learning techniques in clinical settings.
 
Parapharyngeal Space Pleomorphic Adenoma: Common Tumour Type at an Uncommon Site
Full text linkPleomorphic adenoma provides as much as 40-70% of tumors in the minor salivary gland with the palate being the most frequent area engaged. Head and neck tumors in parapharyngeal space amount to less than 1%. We share a case of pleomorphic adenoma primarily arising in parapharyngeal space. This report highlights clinical features, pathology, radiological findings, and treatment of this tumor
The Biological Effectiveness and Medical Significance of Far Infrared Radiation (FIR)
Full text linkThe electromagnetic waves constitute different wavelengths of light from which Far infrared (FIR) is beneficial for living cells. Extensive studies and trials have been conducted over the last two decades in multidimensional biological domains to identify its unlimited health benefits. FIR radiations improve the microcirculation of the human body, stimulate cell growth, penetrate through skin tissues non-invasively, create intramolecular vibrations create an overall healthy metabolism, which ultimately affects overall improved cardiac and metabolic activity. This phenomenon is used to explore different pathological conditions to identify their significance in the medical field. In this review, we explored the biological effectiveness and the medical significance of Far infrared radiation (FIR) in murine melanoma Cell Growth, Lymphedema, airborne viruses, Cardiac diseases, Wound healing and burns, Autonomic Activities, Hemodialysis, Allergic Rhinitis, Aesthetic medicine, textiles, and other domains such as obesity and gut microbiota