Infectious Disease

Rapid and accurate detection of herpes simplex virus type 2 using a low-cost electrochemical biosensor.

Herpes simplex virus type 2 (HSV-2) infection, which is almost exclusively sexually transmitted, causes genital herpes. Although this lifelong and incurable infection is extremely widespread, currently there is no readily available diagnostic device that accurately detects HSV-2 antigens to a satisfactory degree. Here, we report an ultrasensitive electrochemical device that detects HSV-2 antigens ...

Investigating the effectiveness of socially assistive robot on depression and cognitive functions of community dwelling older adults with cognitive impairments.

We evaluated a socially assistive robot (SAR) named Hyodol during a six-week intervention. This study enrolled 69 older adults with cognitive decline. To screen the eligibility, we have used the following three criteria, namely Korean-Mini-Mental Status Exam score ≤ 26). Clinical Dementia Rating 0.5-2), and Diagnostics and Statistical Manual V. Participants were divided into three groups based on ...

Programmable magnetic robot (ProMagBot) for automated nucleic acid extraction at the point of need.

Upstream sample preparation remains the bottleneck for point-of-need nucleic acid testing due to its complexity and time-consuming nature. Sample prep...

A separable temporal convolutional networks based deep learning technique for discovering antiviral medicines.

An alarming number of fatalities caused by the COVID-19 pandemic has forced the scientific community to accelerate the process of therapeutic drug dis...

Development and validation of a hybrid deep learning-machine learning approach for severity assessment of COVID-19 and other pneumonias.

The Coronavirus Disease 2019 (COVID-19) is transitioning into the endemic phase. Nonetheless, it is crucial to remain mindful that pandemics related t...

Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm.

Recently, research has shown an increased spread of non-communicable diseases such as cancer. Lung cancer diagnosis and detection has become one of th...

Modeling of astaxanthin biosynthesis via machine learning, mathematical and metabolic network modeling.

Natural astaxanthin is synthesized by diverse organisms including: bacteria, fungi, microalgae, and plants involving complex cellular processes, which...

Using Machine Learning to Identify Predictors of Sexually Transmitted Infections Over Time Among Young People Living With or at Risk for HIV Who Participated in ATN Protocols 147, 148, and 149.

BACKGROUND: Sexually transmitted infections (STIs) among youth aged 12 to 24 years have doubled in the last 13 years, accounting for 50% of STIs natio...

Exploring intelligent hospital management mode based on artificial intelligence.

OBJECTIVE: To address the challenges posed by the COVID-19 pandemic, our hospital developed an intelligent hospital management mode specifically tailo...

A Novel Soft Glove Utilizing Honeycomb Pneumatic Actuators (HPAs) for Assisting Activities of Daily Living.

Fabric-based pneumatic actuators (FPAs) are extensively employed in the design of lightweight and compliant soft wearable assistive gloves. However, c...

Associating biological context with protein-protein interactions through text mining at PubMed scale.

Inferring knowledge from known relationships between drugs, proteins, genes, and diseases has great potential for clinical impact, such as predicting ...

The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis.

BACKGROUND: The purpose of this paper was to systematically evaluate the application value of artificial intelligence in predicting mortality among CO...

Remote Blood Oxygen Estimation From Videos Using Neural Networks.

Peripheral blood oxygen saturation (SpO ) is an essential indicator of respiratory functionality and received increasing attention during the COVID-19...

Using machine learning to estimate health spillover effects.

We develop a nonparametric model to study health spillover effects of policy interventions. We use double/debiased machine learning to estimate the mo...

Deep Learning-based structure modelling illuminates structure and function in uncharted regions of β-solenoid fold space.

Repeat proteins are common in all domains of life and exhibit a wide range of functions. One class of repeat protein contains solenoid folds where the...

Training certified detectives to track down the intrinsic shortcuts in COVID-19 chest x-ray data sets.

Deep learning faces a significant challenge wherein the trained models often underperform when used with external test data sets. This issue has been ...

ChatGPT: unlocking the potential of Artifical Intelligence in COVID-19 monitoring and prediction.

BACKGROUND: The COVID-19 pandemic has had an unprecedent impact of everyday life with deleterious consequences on global health, economics, and societ...

Cheminformatics and machine learning approaches for repurposing anti-viral compounds against monkeypox virus thymidylate kinase.

One of the emerging epidemic concerns is Monkeypox disease which is spreading globally. This disease is caused by the monkeypox virus (MPXV), with an ...

A knowledge-integrated deep learning framework for cellular image analysis in parasite microbiology.

Cellular image analysis is an important method for microbiologists to identify and study microbes. Here, we present a knowledge-integrated deep learni...

Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron.

Topic modelling with innovative deep learning methods has gained interest for a wide range of applications that includes COVID-19. It can provide, psy...