Latest AI and machine learning research in hemophilia for healthcare professionals.
Artificial intelligence (AI)-enabled interpretation of electrocardiogram (ECG) images (AI-ECGs) can ...
The identification of an effective inhibitor is an important starting step in drug development. Unfo...
Tumor mutational burden (TMB) is a significant predictive biomarker for selecting patients that may ...
PURPOSE: Evaluation of PD-L1 tumor proportion score (TPS) by pathologists has been very impactful bu...
PURPOSE: Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment, yet their use is ...
CLINICAL RATIONALE FOR STUDY: We have reported that intracerebral haemorrhage (ICH) of unknown cause...
BACKGROUND: Immune checkpoint inhibitor-related pneumonitis (ICI-P) is a fatal adverse event of immu...
Entamoeba histolytica is the parasite responsible for amoebiasis, which can result in amoebic coliti...
Enzymes are closely associated with the onset and progression of numerous diseases, making enzymes a...
OBJECTIVES: Our objectives were to estimate the incidence of venous thromboembolism (VTE) after robo...
Dense connective tissue, including the ligament, tendon, fascia and cornea, is formed by regularly a...
Drug resistance is a major threat to the global health and a significant concern throughout the clin...
BACKGROUND/AIM: The aim of the study was to evaluate the risk of venous thromboembolism (VTE) after ...
Although natural products are rich sources for drug discovery, only a small percentage of natural pr...
Dermatomyositis is a common connective tissue disease. The occurrence and development of dermatomyos...
Rivastigmine is a non-competitive reversible inhibitor of acetylcholinesterase which is approved as ...
Atrial fibrillation (AF) is common in the elderly. The treatment of this condition is based on antic...
OBJECTIVE: To investigate whether endogenous nociceptin/orphanin FQ (N/OFQ) can inhibit arrhythmia a...