Latest AI and machine learning research in preventive care for healthcare professionals.
In this work, computational compound screening strategies on the basis of two- and three-dimensional...
Recently much effort has been invested in using convolutional neural network (CNN) models trained on...
Diabetes is a global public health disease projected to affect 642 million adults by 2040, with abou...
Glaucoma is a chronic eye disease that leads to irreversible vision loss. The Cup-to-Disc Ratio (CDR...
Colorectal cancer (CRC) is one of the most common causes of cancer mortality in the world. The incid...
BACKGROUND: Determining the rate of breast cancer (BC) growth in vivo, which can predict prognosis, ...
Abnormalities in pupillary light reflex can indicate optic nerve disorders that may lead to permanen...
Background Recent deep learning (DL) approaches have shown promise in improving sensitivity but have...
A major challenge in cancer treatment is predicting the clinical response to anti-cancer drugs on a ...
Learning-to-rank, which is a machine-learning technique for information retrieval, was recently intr...
Toxic misfolded proteins potentially underly many neurodegenerative diseases, but individual targets...
PURPOSE: Reducing dose level to achieve ALARA is an important task in diagnostic and therapeutic app...
PURPOSE: To identify novel biomarkers of IgA nephropathy (IgAN) through bioinformatics analysis and ...
BACKGROUND AND AIMS: Few artificial intelligence-based technologies have been developed to improve t...
In this study we demonstrate the analysis of biochemical changes in the human blood sera infected wi...
Although algebraic graph theory-based models have been widely applied in physical modeling and molec...
Machine learning plays an important role in ligand-based virtual screening. However, conventional ma...
Cell state-specific promoters constitute essential tools for basic research and biotechnology becaus...
Osteoporosis a major public health problem of the elderly, is associated with substantial morbidity ...
OBJECTIVE: To investigate a fully automated abdominal CT-based muscle tool in a large adult screenin...
Affordable and physiologically relevant three-dimensional (3D) cell-based assays used in high-throug...