-
Article
Sex and Race-Ethnic Disparities in Metabolic Dysfunction-Associated Steatotic Liver Disease: An Analysis of 40,166 Individuals
To overcome the limitations of the term “non-alcoholic fatty liver disease” (NAFLD), the term metabolic-associated steatotic liver disease (MASLD) was introduced. While epidemiologic studies have been conducte...
-
Article
A systematic literature review of generative adversarial networks (GANs) in 3D avatar reconstruction from 2D images
The rapid advancement of machine learning and computer vision has paved the way for significant processes in 3D avatar reconstruction from 2D images. Recently, generative adversarial networks (GANs) have emerg...
-
Article
Effect of sarcopenia and frailty on outcomes among patients with brain metastases
Sarcopenia and frailty have been associated with increased mortality and duration of hospitalization in cancer. However, data investigating these effects in patients with brain metastases remain limited. This ...
-
Article
Open AccessA functional personalised oncology approach against metastatic colorectal cancer in matched patient derived organoids
Globally, colorectal cancer (CRC) is the third most frequently occurring cancer. Progression on to an advanced metastatic malignancy (metCRC) is often indicative of poor prognosis, as the 5-year survival rates...
-
Article
Proton Pump Inhibitors Increases Longitudinal Risk of Mortality, Decompensation, and Infection in Cirrhosis: A Meta-Analysis
Proton pump inhibitors (PPIs) are frequently prescribed to cirrhotic patients, but there is limited longitudinal evidence regarding their effects. This study aimed to assess the impact of PPIs on adverse event...
-
Article
Towards edge devices implementation: deep learning model with visualization for COVID-19 prediction from chest X-ray
Due to the outbreak of COVID-19 disease globally, countries around the world are facing shortages of resources (i.e. testing kits, medicine). A quick diagnosis of COVID-19 and isolating patients are crucial in...
-
Article
Open AccessAn exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis
Providing electronic health data to medical practitioners to reflect on their performance can lead to improved clinical performance and quality of care. Understanding the sensemaking process that is enacted when ...
-
Article
Open AccessAttitudes towards COVID-19 precautionary measures and willingness to work during an outbreak among medical students in Singapore: a mixed-methods study
The COVID-19 pandemic has revealed challenges that medical students face when healthcare systems are under intense pressure. There is a need to assess medical students’ education needs in pandemic preparedness...
-
Article
Multimodal depression detection on instagram considering time interval of posts
Depression is a common and serious mental disorder that causes a person to have sad or hopeless feelings in his/her daily life. With the rapid development of social media, people tend to express their thoughts...
-
Article
Open AccessThe physical activity at work (PAW) study protocol: a cluster randomised trial of a multicomponent short-break intervention to reduce sitting time and increase physical activity among office workers in Thailand
High levels of sedentary behaviour (SB) are associated with non-communicable diseases. In 2016, the estimated total healthcare expenditure from physical activity (PA) in Thailand added up to $190 million in in...
-
Article
Keyword extraction and structuralization of medical reports
In recent years, patients usually accept more accurate and detailed examinations because of the rapid advances in medical technology. Many of the examination reports are not represented in numerical data, but ...
-
Chapter and Conference Paper
Question Generation Through Transfer Learning
An automatic question generation (QG) system aims to produce questions from a text, such as a sentence or a paragraph. Traditional approaches are mainly based on heuristic, hand-crafted rules to transduce a de...
-
Article
Genetic architecture of subcortical brain structures in 38,851 individuals
Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate n...
-
Article
Hybrid metagenomic assembly enables high-resolution analysis of resistance determinants and mobile elements in human microbiomes
Characterization of microbiomes has been enabled by high-throughput metagenomic sequencing. However, existing methods are not designed to combine reads from short- and long-read technologies. We present a hybr...
-
Chapter and Conference Paper
Autonomous Road Potholes Detection on Video
This research work explores the possibility of using deep learning to produce an autonomous system for detecting potholes on video to assist in road monitoring and maintenance. Video data of roads was collecte...
-
Article
Open AccessA genome-wide association study identified a novel genetic loci STON1-GTF2A1L/LHCGR/FSHR for bilaterality of neovascular age-related macular degeneration
Bilateral neovascular age-related macular degeneration (AMD) causes much more handicaps for patients than unilateral neovascular AMD. Although several AMD-susceptibility genes have been evaluated for their ass...
-
Article
Open AccessGestational diabetes mellitus and retinal microvasculature
Small-vessel dysfunction may be an important consequence of chronic hyperglycemia. We examined the association between gestational diabetes mellitus (GDM), a state of transient hyperglycemia during pregnancy, ...
-
Chapter and Conference Paper
Open-Source Development of a Low-Cost Stereo-Endoscopy System for Natural Orifice Transluminal Endoscopic Surgery
As a minimally invasive procedure, Natural Orifice Transluminal Endoscopic Surgery (NOTES) offers many significant benefits over traditional open surgery, including reduced risks of post-operative complication...
-
Chapter and Conference Paper
Timeline Summarization for Event-Related Discussions on a Chinese Social Media Platform
In this paper, we proposed an approach to automatically generate timeline summarization for sub-event discussions related to a query event without supervised learning. In order to select event-related sentence...
-
Chapter and Conference Paper
A Maximum Dimension Partitioning Approach for Efficiently Finding All Similar Pairs
For solving the All Pair Similarity Search (APSS) problem efficiently, this paper provides a maximum dimension partitioning approach to effectively filter non-similar pairs in an early stage. At first, for eac...
