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Blood
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August 22, 2025
Artificial Intelligence in Hematology
Aziz Nazha, Olivier Elemento, Sanjay Ahuja, et al.
PLOS Digital Health
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February 22, 2023
A systematic review of federated learning applications for biomedical data
Matthew G Crowson, Dana Moukheiber, Aldo Robles Arévalo, et al.
Sleep
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March 4, 2014
Increased use-dependent plasticity in chronic insomnia
Rachel E Salas, Joseph M Galea, Alyssa A Gamaldo, et al.
The Journal of Medical Humanities
|
November 1, 2021
A Value-Added Health Systems Science Intervention Based on My Life, My Story for Patients Living with HIV and Medical Students: Translating Narrative Medicine from Classroom to Clinic
Jonathan C Chou, Jennifer J Li, Brandon T Chau, et al.
European Journal of Haematology
|
October 4, 2023
Artificial intelligence in the prediction of venous thromboembolism: A systematic review and pooled analysis
Thita Chiasakul, Barbara D Lam, Megan McNichol, et al.
Blood Advances
|
March 24, 2024
Machine learning natural language processing for identifying venous thromboembolism: systematic review and meta-analysis
Barbara D Lam, Pavlina Chrysafi, Thita Chiasakul, et al.
American Journal of Hematology
|
June 4, 2026
Clinically Relevant Bleeding in Individuals With Cancer: Insights From a Nationwide Cohort Study
Ming Y Lim, Radhika Gangaraju, Omid Jafari, et al.
Scientific Reports
|
May 25, 2024
The potential use of artificial intelligence for venous thromboembolism prophylaxis and management: clinician and healthcare informatician perspectives
Barbara D Lam, Laura E Dodge, Sabrina Zerbey, et al.
JAMA Network Open
|
November 25, 2025
Validation of a Risk Score for Cancer-Associated Thrombosis Using Nationwide EHR Data
Ang Li, Omid Jafari, Barbara D Lam, et al.
Journal of Thrombosis and Haemostasis : JTH
|
August 3, 2025
Development and Validation of VTE-BERT Natural Language Processing Model for Venous Thromboembolism
Omid Jafari, Shengling Ma, Barbara D Lam, et al.
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of 3
Search research articles
Search
Showing results (11-20 of 21) with videos related to
Sort By:
Page
of 3
Blood
|
August 22, 2025
Artificial Intelligence in Hematology
Aziz Nazha, Olivier Elemento, Sanjay Ahuja, et al.
PLOS Digital Health
|
February 22, 2023
A systematic review of federated learning applications for biomedical data
Matthew G Crowson, Dana Moukheiber, Aldo Robles Arévalo, et al.
Sleep
|
March 4, 2014
Increased use-dependent plasticity in chronic insomnia
Rachel E Salas, Joseph M Galea, Alyssa A Gamaldo, et al.
The Journal of Medical Humanities
|
November 1, 2021
A Value-Added Health Systems Science Intervention Based on My Life, My Story for Patients Living with HIV and Medical Students: Translating Narrative Medicine from Classroom to Clinic
Jonathan C Chou, Jennifer J Li, Brandon T Chau, et al.
European Journal of Haematology
|
October 4, 2023
Artificial intelligence in the prediction of venous thromboembolism: A systematic review and pooled analysis
Thita Chiasakul, Barbara D Lam, Megan McNichol, et al.
Blood Advances
|
March 24, 2024
Machine learning natural language processing for identifying venous thromboembolism: systematic review and meta-analysis
Barbara D Lam, Pavlina Chrysafi, Thita Chiasakul, et al.
American Journal of Hematology
|
June 4, 2026
Clinically Relevant Bleeding in Individuals With Cancer: Insights From a Nationwide Cohort Study
Ming Y Lim, Radhika Gangaraju, Omid Jafari, et al.
Scientific Reports
|
May 25, 2024
The potential use of artificial intelligence for venous thromboembolism prophylaxis and management: clinician and healthcare informatician perspectives
Barbara D Lam, Laura E Dodge, Sabrina Zerbey, et al.
JAMA Network Open
|
November 25, 2025
Validation of a Risk Score for Cancer-Associated Thrombosis Using Nationwide EHR Data
Ang Li, Omid Jafari, Barbara D Lam, et al.
Journal of Thrombosis and Haemostasis : JTH
|
August 3, 2025
Development and Validation of VTE-BERT Natural Language Processing Model for Venous Thromboembolism
Omid Jafari, Shengling Ma, Barbara D Lam, et al.
Page
of 3