Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis.

Background: To diagnose Alzheimer disease (AD), individuals are classified according to the severity of their cognitive impairment. There are currently no specific causes or conditions for this disease.

Objective: The purpose of this systematic review and meta-analysis was to assess AD prevalence across different stages using machine learning (ML) approaches comprehensively.

Language Validation and Cultural Adaptation of the Italian Version of the Family Caregiver Quality of Life Scale.

Background: Heart failure significantly impacts healthcare systems and society, affecting quality of life (QoL) due to its symptoms and continuous care needs. Nurses are crucial in managing heart failure, supporting both patients and caregivers who face physical, emotional, social, and spiritual challenges. The Family Caregiver Quality of Life (FAMQOL) scale evaluates caregivers' QoL across all dimensions.

Multidisciplinary Management and Autologous Skin Grafting in a Patient with Severe Burns: A Case Study.

: Heat burns are a prevalent type of trauma. Rapid and effective treatment is crucial for deep burns to minimize complications. Autologous skin grafting is a highly effective treatment for full-thickness burns.

Impact of School Nurse on Managing Pediatric Type 1 Diabetes with Technological Devices Support: A Systematic Review.

Introduction: Type 1 diabetes (T1D) is a disease that primarily occurs in pediatric populations. A school nurse (SN) can provide valuable support in the school setting for minors affected by this condition.

Methods: The main objective of this study was to evaluate the impact of nursing care provided to adolescents and children with T1D using technological devices in school.

Changes in body weight and composition, metabolic parameters, and quality of life in patients with type 2 diabetes treated with subcutaneous semaglutide in real-world clinical practice.

Subcutaneous once-weekly (ow) semaglutide is a recent treatment option for type 2 diabetes (T2D) and obesity, but real-world data on weight loss and associated changes in body composition, nutrients intake, and quality of life are still scarce. This observational, prospective clinical study involved all T2D patients starting ow semaglutide according to routine care between December 2021 and February 2022. Clinical information was collected after 6 months (T6) and 12 months (T12) from semaglutide initiation (T0).

Effect of Treatment of the Cholinergic Precursor Choline Alphoscerate in Mild Cognitive Dysfunction: A Randomized Controlled Trial.

The focus on mild cognitive dysfunction in adults is of great interest, given the risk of worsening and conversion to dementia. Cognitive dysfunctions are characterized by a decrease in the weight and volume of the brain, due to cortical atrophy, with a widening of the grooves and flattening of the convolutions. Brain atrophy that mainly involves the hippocampus is related to the progression of cognitive impairment and the conversion from mild cognitive dysfunction to dementia.

The Telehealth chain: a framework for secure and transparent telemedicine transactions on the blockchain.

Background: Blockchain technology provides a secure and decentralized platform for storing and transferring sensitive medical data, which can be utilized to enable remote medical consultations.

Aim: A theoretical framework for creating a blockchain-based digital system created to facilitate telemedicine system.

Results: This paper proposes a theoretical framework based on Hyperledger fabric for creating a blockchain-based digital entity to facilitate telemedicine services.

Approaches to Medical Emergencies on Commercial Flights.

In-flight medical incidents are becoming increasingly critical as passengers with diverse health profiles increase in the skies. In this paper, we reviewed how airlines, aviation authorities, and healthcare professionals respond to such emergencies. The analysis was focused on the strategies developed by the top ten airlines in the world by examining training in basic first aid, collaboration with ground-based medical support, and use of onboard medical equipment.

Self-reported diabetes mellitus among seafarers: occupational and sociodemographic predictors.

Background: Seafarers are at increased risk of diabetes due to their lifestyle and working conditions on board ships. There is, however, limited evidence regarding the magnitude of diabetes and its risk factors. In this study, we aimed to assess the prevalence of self-reported diabetes among seafarers on board ships and identify risk factors associated with it.

Brain Tumor Detection and Categorization with Segmentation of Improved Unsupervised Clustering Approach and Machine Learning Classifier.

There is no doubt that brain tumors are one of the leading causes of death in the world. A biopsy is considered the most important procedure in cancer diagnosis, but it comes with drawbacks, including low sensitivity, risks during biopsy treatment, and a lengthy wait for results. Early identification provides patients with a better prognosis and reduces treatment costs.

Yoga or Mindfulness on Diabetes: Scoping Review for Theoretical Experimental Framework.

Background: About one in 11 adults worldwide suffers from diabetic disease with constantly increasing prevalence; from the 529 million patients registered in 2021, the number of people with diabetes was predicted to rise to approximately 1.31 billion in 2050. In Italy, 5.

Automatic Detection and Classification of Hypertensive Retinopathy with Improved Convolution Neural Network and Improved SVM.

Hypertensive retinopathy (HR) results from the microvascular retinal changes triggered by hypertension, which is the most common leading cause of preventable blindness worldwide. Therefore, it is necessary to develop an automated system for HR detection and evaluation using retinal images. We aimed to propose an automated approach to identify and categorize the various degrees of HR severity.

Eating and lifestyle habits and primary school health-related pro-grams: a survey involving Italian children and teachers.

Background: Childhood overweight and obesity represent serious public health concerns in several countries worldwide, including Italy, where the highest prevalence in Europe of overweight and obesity among primary school children was recorded. Among others, primary schools represent suitable social environments for health education projects. In this perspective, to optimize resources and plan successful activities, it is necessary, first of all, to analyze the context of the intervention.

Machine Learning-Based Classification of Parkinson's Disease Patients Using Speech Biomarkers.

Background: Parkinson's disease (PD) is the most prevalent neurodegenerative movement disorder and a growing health concern in demographically aging societies. The prevalence of PD among individuals over the age of 60 and 80 years has been reported to range between 1% and 4%. A timely diagnosis of PD is desirable, even though it poses challenges to medical systems.

Rodent Models of Huntington's Disease: An Overview.

Huntington's disease (HD) is an autosomal-dominant inherited neurological disorder caused by a genetic mutation in the IT15 gene. This neurodegenerative disorder is caused by a polyglutamine repeat expansion mutation in the widely expressed huntingtin (HTT) protein. HD is characterized by the degeneration of basal ganglia neurons and progressive cell death in intrinsic neurons of the striatum, accompanied by dementia and involuntary abnormal choreiform movements.

Mesothelioma Risk Among Maritime Workers According to Job Title: Data From the Italian Mesothelioma Register (ReNaM).

The study describes the 466 cases of malignant mesotheliomas (MM) collected by the National Mesothelioma Register (ReNaM) in Italy in the period 1993-2018 relating to subjects with exclusive asbestos exposure in merchant or military navy. The cases among maritime workers represent 1.8% of the total cases with defined exposure registred in the ReNaM, of which 212 cases (45.

Mediterranean Diet (MedDiet) and Lifestyle Medicine (LM) for support and care of patients with type II diabetes in the COVID-19 era: a cross-observational study.

Introduction: Diabetes affects 425 million people worldwide (range 20-79 years). Of these, between 87% and 91% are affected by type 2 diabetes mellitus (DM2), and 79% live in medium/low income countries.

Objectives: the main objective of the study was to observe, through the administration of specific questionnaires, the relationship existing between metabolic clinical parameters, quality of life of patients with DM2 and adherence to the MedDiet at first access to Diabetes Center in the period after the COVID-19 pandemic.

Risk prediction model of self-reported hypertension for telemedicine based on the sociodemographic, occupational and health-related characteristics of seafarers: a cross-sectional epidemiological study.

Objectives: High blood pressure is a common health concern among seafarers. However, due to the remote nature of their work, it can be difficult for them to access regular monitoring of their blood pressure. Therefore, the development of a risk prediction model for hypertension in seafarers is important for early detection and prevention.

Metformin and Covid-19: a systematic review of systematic reviews with meta-analysis.

the COVID-19 infection, caused by severe Coronavirus 2 syndrome (Sars-Cov-2), immediately appeared to be the most tragic global pandemic event of the twentieth century. Right from the start of the pandemic, diabetic patients treated with metformin experienced a reduction in mortality and complications from COVID-19 compared to those with different treatments or no treatment. Objective The main objective of the study was to observe the effects of metformin in hospitalized subjects infected with COVID-19.

Telemedicine in diabetic ulcer management: A pilot study with exploration of medico-legal aspects.

Background And Aims: This study aimed to evaluate the quality and efficiency of telemedicine in managing patients with chronic diabetic ulcers and provide an overview of the main medico-legal implications associated with telemedicine management of diabetic foot complications.

Methods And Results: A total of 50 patients with type 2 diabetes mellitus were enrolled from a diabetic foot outpatient clinic in Cyprus between March and May 2022. Participants completed a survey concerning telemedicine services, and the demographic variables and average responses to the PACIC (Patient Assessment of Chronic Illness Care) questions were examined using descriptive analysis.

Automatic Detection and Classification of Diabetic Retinopathy Using the Improved Pooling Function in the Convolution Neural Network.

Diabetic retinopathy (DR) is an eye disease associated with diabetes that can lead to blindness. Early diagnosis is critical to ensure that patients with diabetes are not affected by blindness. Deep learning plays an important role in diagnosing diabetes, reducing the human effort to diagnose and classify diabetic and non-diabetic patients.

Pleural mesothelioma risk in the construction industry: a case-control study in Italy, 2000-2018.

Objectives: Workers in the construction industry have been exposed to asbestos in various occupations. In Italy, a National Mesothelioma Registry has been implemented more than 20 years ago. Using cases selected from this registry and exploiting existing control data sets, we estimated relative risks for pleural mesothelioma (PM) among construction workers.

The Use of Radio and Telemedicine by TMAS Centers in Provision of Medical Care to Seafarers: A Systematic Review.

: From medicine via radio to telemedicine, personalized medical care at sea has improved significantly over the years. Currently, very little research has been conducted on telemedicine services and tools at sea. This study aims to review real-time case studies of seafarers' personalized treatment via telemedical devices published in medical journals.