Latest AI and machine learning research in covid-19 for healthcare professionals.
BACKGROUND: Since its emergence in 2019, COVID-19 has become a global epidemic. Several studies have...
This study explores the link between the emotion "guilt" and human EEG data, and investigates the in...
To develop and validate an artificial intelligence (AI)-driven tool for the automatic segmentation o...
Alzheimer's disease (AD) is a leading cause of disability worldwide. Early detection is critical for...
Forecasting the occurrence and absence of novel disease outbreaks is essential for disease managemen...
Radiologists are prone to missing some colorectal cancers (CRCs) on routine abdominopelvic CT exami...
Machine learning (ML) is changing the world of computational protein design, with data-driven method...
The agriculture sector is crucial to many economies, particularly in developing regions, with post-h...
OBJECTIVES: While ambulance transport decisions guided by artificial intelligence (AI) could be usef...
Identifying interactions between candidate antibodies and target antigens is a key step in developin...
In this study, we address the challenge of screening resins and optimizing operation conditions for ...
BACKGROUND: Despite recent progress in misinformation detection methods, further investigation is re...
Using chemical laboratory procedures to estimate the fruit quality parameters (biochemical parameter...
RATIONALE AND OBJECTIVES: To develop and validate a machine learning model based on chest CT and cli...
Predicting the unprecedented, nonlinear nature of COVID-19 presents a significant public health chal...
Rat models are widely used to study cataracts due to their cost-effectiveness and prominent physiol...
BACKGROUND: Identification of distinct clinical phenotypes of diseases can guide personalized treatm...
Although the efficacy of pharmacy in the treatment of attention deficit/hyperactivity disorder (ADHD...
Nanobodies (Nbs), miniature antibodies consisting solely of the variable region of heavy chains, exh...
Democratizing biomarker testing at the point-of-care requires innovations that match laboratory-grad...
Researchers are developing increasingly robust molecular representations, motivating the need for th...