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Maryam Daniali

Showing results (1-10 of 4) with videos related to

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JMIR Bioinformatics and Biotechnology|December 4, 2025
Using Natural Language Processing to Identify Symptomatic Adverse Events in Pediatric Oncology: Tutorial for Clinician ResearchersClifton P Thornton, Maryam Daniali, Lei Wang, et al.
Artificial Intelligence in Medicine|April 26, 2023
Enriching representation learning using 53 million patient notes through human phenotype ontology embeddingMaryam Daniali, Peter D Galer, David Lewis-Smith, et al.
Biorxiv : the Preprint Server for Biology|July 9, 2025
A systematic protocol to identify "clinical controls" for pediatric neuroimaging research from clinically acquired brain MRIsDabriel Zimmerman, Ayan S Mandal, Benjamin Jung, et al.
BMJ Open|October 15, 2025
Systematic protocol to identify 'clinical controls' for paediatric neuroimaging research from clinically acquired brain MRIsDabriel Zimmerman, Ayan S Mandal, Benjamin Jung, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
JMIR Bioinformatics and Biotechnology|December 4, 2025
Using Natural Language Processing to Identify Symptomatic Adverse Events in Pediatric Oncology: Tutorial for Clinician ResearchersClifton P Thornton, Maryam Daniali, Lei Wang, et al.
Artificial Intelligence in Medicine|April 26, 2023
Enriching representation learning using 53 million patient notes through human phenotype ontology embeddingMaryam Daniali, Peter D Galer, David Lewis-Smith, et al.
Biorxiv : the Preprint Server for Biology|July 9, 2025
A systematic protocol to identify "clinical controls" for pediatric neuroimaging research from clinically acquired brain MRIsDabriel Zimmerman, Ayan S Mandal, Benjamin Jung, et al.
BMJ Open|October 15, 2025
Systematic protocol to identify 'clinical controls' for paediatric neuroimaging research from clinically acquired brain MRIsDabriel Zimmerman, Ayan S Mandal, Benjamin Jung, et al.
Pageof 1