Simona Emilova Doneva

This paper uses NLP to analyze 500,000 animal drug studies and links them to clinical data, finding that only 3.1% reach regulatory approval and that species diversity and blinding improve translation success.

The paper develops an automated pipeline to map genetic developmental disorder literature to Gene2Phenotype using NLP models, achieving high accuracy and scalability for biocuration.

This scoping review summarizes the use of large language models in biomedical NLP tasks, highlighting their growing application in text classification, relation extraction, and named entity recognition.