Latest AI and machine learning research in bioterrorism for healthcare professionals.
BACKGROUND: Post-bariatric hypoglycemia (PBH) after Roux-en-Y gastric bypass (RYGB) is a complex com...
A thorough understanding of cell-line drug response mechanisms is crucial for drug development, repu...
This study used Xinjiang native "medicinal and food dual-use" resource mulberries as raw material, a...
Approximately 15% of patients suspected of having Parkinson's disease (PD) present dopamine active t...
Tissue regeneration after a wound occurs through three main overlapping and interrelated stages name...
Predicting the response of a cancer cell line to a therapeutic drug is pivotal for personalized medi...
Deep learning models have advanced our ability to predict cell-type-specific chromatin patterns from...
CDK4/6 inhibitors in combination with endocrine therapy are widely used to treat HR+/HER2- metastati...
AIMS: The present review explores the existing evidence on pharmacogenomic tests for prediction of l...
Interferon (IFN) is a pivotal agent against hepatitis B virus (HBV) in clinic, but there is a lack o...
As non-surgical therapies gain acceptance in head and neck tumors, the importance of imaging has inc...
The application of lower-limb exoskeleton robots in rehabilitation is becoming more prevalent, where...
PURPOSE: To utilize a convolutional neural network (CNN) to predict the response of treatment-naïve ...
Major depressive disorder (MDD) is highly heterogeneous in response to repetitive transcranial magne...
BACKGROUND: Hepatocellular carcinoma (HCC) treatment remains challenging, particularly for immune ch...
BACKGROUND: The clinical information housed within unstructured electronic health records (EHRs) has...
Over 90% of gastrointestinal stromal tumors (GISTs) harbor mutations in KIT or PDGFRA that can predi...
Moyamoya disease (MMD) is a rare chronic vascular disease leads to cognitive impairment and stroke w...
Identifying individual difference factors associated with treatment response and putative mechanisms...
OBJECTIVES: Primary knee osteoarthritis (KOA) is a heterogeneous disease with clinical and molecular...
PURPOSE: The aim of this work is to compare different machine learning models for predicting patholo...