honglian/BiolitNER

Multi-Semantic Model Recognition
A advanced multi-semantic deep learning model is employed to identify a broad range of biomedical entities with rich contextual understanding. The model is capable of recognizing the following entity types:

• Diseases (e.g., cancer, diabetes, Alzheimer's disease)
• Chemical (e.g., drugs, chemicals, small molecules, metabolites)
• Cell Types (e.g., T cells, neurons, hepatocytes)
• Gene Ontology Terms (biological processes, molecular functions, cellular components)
• Body Parts (e.g., liver, heart, brain)
• Diagnosis (e.g., MRI, biopsy, blood test)
• Treatment (e.g., chemotherapy, surgery, radiotherapy)
• Food (e.g., Mediterranean diet, ketogenic diet)
• Locations (e.g., countries, regions, or places relevant to epidemiology)