Medical and Health Sciences

Critical Review: Sri Lanka’s Mental Health Crisis – Underfunding, Stigma, and Service Gaps

Three main issues affect mental health in Sri Lanka: limited finances, much stigma, and poor services, particularly in rural areas.  Despite having effective policies, inequalities are still generated by inefficiencies and cultural factors.  Approximately 13.3% of people experience untreated mental illness as a result (Mental Health in Sri Lanka A Summary – Join Health, n.d.; […]

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Potential diagnostic biomarkers for chronic kidney disease of unknown etiology (CKDu) in Sri Lanka: a pilot study

Critical Review Introduction The study by Sayanthooran et al. (2017) explores a significant public health issue in Sri Lanka—chronic kidney disease of unknown etiology (CKDu)—which predominantly affects farming communities in dry zones. Unlike typical CKD cases, which are often linked to diabetes or hypertension, CKDu lacks a clearly defined cause. The researchers aimed to identify

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Critical review of “Artificial Intelligence as a Replacement for Animal Experiments in Neurology: Potential, Progress, and Challenges” by Thorsten Rudroff

  Thorsten Rudroff’s 2024 perspective article explores the transformative potential of artificial intelligence (AI) to supplant animal experimentation in neurology. The article offers a comprehensive and optimistic overview of emerging AI methodologies, including brain organoids, computational modeling, and machine learning, positing them as superior alternatives to traditional animal-based research. While the article is rich in

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Application effect of an artificial intelligence-based fundus screening system: evaluation in a clinical setting and population screening

Introduction: – Ocular fundus abnormalities like diabetic retinopathy (DR), age-related macular degeneration (ARMD), retinal vein occlusion (RVO), and pathological myopia (PM) are major causes of blindness worldwide. – Early detection is crucial for preventing irreversible vision loss from these conditions. – AI systems based on fundus imaging like color fundus photography (CFP) have potential for

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The relationship between hydronephrosis severity on ultrasound and kidney stone size

Introduction Kidney stones are a common urologic condition, with an increasing incidence and prevalence globally. Non-contrast computed tomography (CT) is frequently used in emergency departments to evaluate suspected kidney stones, given its high accuracy for detecting the presence, size and location of stones. However, ultrasound is advantageous due to lower cost, lack of ionizing radiation,

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Inside the bold mission to map every immune system in the world

Introduction The article “Inside the bold mission to map every immune system in the world” by James Lloyd, published in BBC Science Focus Magazine in January 2024, discusses the aims and challenges of the Human Immunome Project (HIP), a global initiative that seeks to create a digital library of the immune system of every human

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Monkeypox

The monkeypox virus is the infection that causes monkeypox. It can spread from animals to people since it is a viral zoonotic infection. Additionally, it is transferrable between people and the environment, as well as between humans. Numerous symptoms and indicators are associated with monkeypox. While some people experience less severe symptoms, others may experience

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Assessment of dietary macronutrient and micronutrient intake among haemodialysis patients in Sri Lanka

NADUNI ERANDIKA1, NISHANTHA NANAYAKKARA1, LALANI YATAWARA2 1National Hospital-Kandy, Sri Lanka 2Faculty of Allied Health Sciences, University of Peradeniya, Kandy, Sri Lanka Background: Malnutrition is very common among haemodialysis (HD) patients. Aim: We aimed to assess the macronutrient and micronutrient intake and determined the association between nutritional intake and socio-economic status among HD patients. Methods: This

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Predictive Modeling

Utilizing predetermined outcomes to develop, process, and validate models is known as predictive modelling. To develop, process, and evaluate a model that can be used to predict future outcomes, predictive modelling is the process of employing known findings. It is an instrument used in predictive analytics, a data mining technique that seeks to provide an

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