Research Insights

This section focuses on recent global studies and discoveries in the various fields of healthcare.

Predictors of Program Interest in a Digital Health Pilot Study for Heart Health

Digital health programs can play a key role in supporting lifestyle changes to prevent and reduce cardiovascular disease CVD risk A key concern for new programs is understanding who is interested in participating

Virtual Care Use Among Older Immigrant Adults in Ontario, Canada During the Covid-19 Pandemic: a Repeated Cross-sectional Analysis

The critical role of virtual care during the COVID pandemic has raised concerns about the widening disparities to access by vulnerable populations including older immigrants

Influence of N6-methyladenosine (M6a) Modification on Cell Phenotype in Alzheimer’s Disease

Recent research has suggested that mA modification takes on critical significance to Neurodegeneration As indicated by the genomewide map of mA mRNA genes in Alzheimers disease

Detection Rate of Contrast-enhanced Brain Magnetic Resonance Imaging in Patients With Cognitive Impairment

The number of brain MRI with contrast media performed in patients with cognitive impairment has increased without universal agreement We aimed to evaluate the detection rate of contrastenhanced brain MRI in patients with cognitive impairment

Nonadherence to Anti-tuberculosis Treatment, Reasons and Associated Factors Among Pulmonary Tuberculosis Patients in the Communities in Indonesia

Tuberculosis TB is the worlds major public health problem We assessed the proportion reasons and associated factors for antiTB treatment nonadherence in the communities in Indonesia

Multimodal Magnetic Resonance Imaging After Experimental Moderate and Severe Traumatic Brain Injury: a Longitudinal Correlative Assessment of Structural and Cerebral Blood Flow Changes

Traumatic brain injury TBI is a worldwide problem that results in death or disability for millions of people every year Progressive neurological complications and longterm impairment

Establishment and Health Management Application of a Prediction Model for High-risk Complication Combination of Type 2 Diabetes Mellitus Based on Data Mining

In recent years the prevalence of TDM has been increasing annually in particular the personal and socioeconomic burden caused by multiple complications has become increasingly serious

Daptev: Deep Aptamer Evolutionary Modelling for Covid-19 Drug Design

Typical drug discovery and development processes are costly time consuming and often biased by expert opinion Aptamers are short singlestranded oligonucleotides RNADNA that bind to target proteins and other types of biomolecules

Analysis of Lung Cancer Risk Factors From Medical Records in Ethiopia Using Machine Learning

Cancer is a broad term that refers to a wide range of diseases that can affect any part of the human body To minimize the number of cancer deaths and to prepare an appropriate health policy on cancer spread mitigation

Real-world Evidence From the First Online Healthcare Analytics Platform-livingstone: Validation of Its Descriptive Epidemiology Module

Incidence and prevalence are key epidemiological determinants characterizing the quantum of a disease We compared incidence and prevalence estimates derived automatically from the first ever online essentially realtime healthcare analytics platform