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Found 5 papers, 0 papers with code
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation
We propose custom2vec, an algorithmic framework to customize graph embeddings by incorporating user preferences in training the embeddings.
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG
One of the main challenges in electroencephalogram (EEG) based brain-computer interface (BCI) systems is learning the subject/session invariant features to classify cognitive activities within an end-to-end discriminative setting.
Clinical Trial Information Extraction with BERT
Natural language processing (NLP) of clinical trial documents can be useful in new trial design.
A Scalable AI Approach for Clinical Trial Cohort Optimization
FDA has been promoting enrollment practices that could enhance the diversity of clinical trial populations, through broadening eligibility criteria.
Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing
COVID-19 clinical trial design is a critical task in developing therapeutics for the prevention and treatment of COVID-19.
