METHODS: A descriptive cross-sectional study was used to collect information from 502 Nepalese migrant workers in the arrival section of Tribhuvan International Airport from May to June 2019 using purposive sampling. Workers with a minimum work experience of 6 months and above were included in the study. A structured questionnaire with socio-demographic items was used along with the Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI) and WHO (five) wellbeing scale for measuring the subjective psychological wellbeing and screening for depression.
RESULTS: The mean age of the respondents was 32.97 years. Majority (41.8%) of the respondents had work experience in Qatar and 63.7% had work experience of 1-5 years. The results suggested that 14.4% had mild to severe depression while 4.4% had a moderate level of anxiety. The WHO5 wellbeing index score suggested that 14.1% of the respondents had a score below 13, which is suggestive of poor psychological wellbeing. Further, the country of work (p = 0.043), sleeping hours (p = 0.001), occupation (p = 0.044), working hours (p = 0.000), water intake (p = 0.010) and anxiety level (p = 0.000) were found to be significantly associated with depression score. Similarly, sleeping hours (p = 0.022), occupation (p = 0.016), working hours (p = 0.000), water intake (p = 0.010), and anxiety level (0.000) were significantly associated with the WHO5 wellbeing score.
CONCLUSIONS: Nepalese migrant workers in the Gulf countries (United Arab Emirates, Saudi Arabia, Qatar, Oman, Kuwait, Bahrain) and Malaysia bear an important burden of psychological morbidities. This highlights the need to prioritize the migrant worker's mental health by Nepal as well as Gulf countries and Malaysia.
METHODS: A literature search of studies related to the use of precision medicine in diabetes care was conducted in various databases (PubMed, Google Scholar, and Scopus).
RESULTS: Precision medicine encompasses the integration of a wide array of personal data, including clinical, lifestyle, genetic, and various biomarker information. Its goal is to facilitate tailored treatment approaches using contemporary diagnostic and therapeutic techniques that specifically target patients based on their genetic makeup, molecular markers, phenotypic traits, or psychosocial characteristics. This article not only highlights significant advancements but also addresses key challenges, particularly focusing on the technologies that contribute to the realization of personalized and precise diabetes care.
CONCLUSION: For the successful implementation of precision diabetes medicine, collaboration and coordination among multiple stakeholders are crucial.
METHOD: To overcome the limitation, the use of artificial intelligence along with technical tools has been extensively investigated for AD diagnosis. For developing a promising artificial intelligence strategy that can diagnose AD early, it is critical to supervise neuropsychological outcomes and imaging-based readouts with a proper clinical review.
CONCLUSION: Profound knowledge, a large data pool, and detailed investigations are required for the successful implementation of this tool. This review will enlighten various aspects of early diagnosis of AD using artificial intelligence.
METHODS: The literature related to T3cDM was thoroughly searched from the public domains and reviewed extensively to construct this article. Further, existing literature related to the other forms of diabetes is reviewed for projecting the differences among the different forms of diabetes. Detailed and updated information related to epidemiological evidence, risk factors, symptoms, diagnosis, pathogenesis and management is structured in this review.
RESULTS: T3cDM is often misdiagnosed as T2DM due to the insufficient knowledge differentiating between T2DM and T3cDM. The pathogenesis of T3cDM is explained which is often linked to the history of chronic pancreatitis, pancreatic cancer. Inflammation, and fibrosis in pancreatic tissue lead to damage both endocrine and exocrine functions, thus leading to insulin/glucagon insufficiency and pancreatic enzyme deficiency.
CONCLUSION: Future advancements should be accompanied by the establishment of a quick diagnostic tool through the understanding of potential biomarkers of the disease and newer treatments for better control of the diseased condition.
METHODS: Application of nanotechnology in medicine have perceived a great evolution during past few decades. Nanoemulsion, submicron sized thermodynamically stable distribution of two immiscible liquids, has gained extensive importance as a nanocarrier to improve chemotherapies seeking to overcome the limitations of drug solubilization, improving systemic delivery of the chemotherapeutics to the site of action to achieve a promising inhibitory in tumor growth profile with reduced systemic toxicity.
RESULTS AND CONCLUSION: This review has focused on potential application of nanoemulsion in the translational research and its role in chemotherapy using oral, parenteral and transdermal route to enhance systemic availability of poorly soluble drug. In summary, nanoemulsion is a multifunctional nanocarrier capable of enhancing drug delivery potential of cytotoxic agents, thereby, can improve the outcomes of cancer treatment by increasing the life-span of the patient and quality of life, however, further clinical research and characterization of interactive reactions should need to be explored.