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For: Wu Q, Jung J. Ensemble-learning approach improves fracture prediction using genomic and phenotypic data. Osteoporos Int 2025;36:811-821. [PMID: 40053072 DOI: 10.1007/s00198-025-07437-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 02/14/2025] [Indexed: 05/20/2025]
Number Cited by Other Article(s)
1
Wu Q, Jung J. Precision fracture risk assessment: leveraging genomic and clinical data for personalized care. Osteoporos Int 2025:10.1007/s00198-025-07517-x. [PMID: 40329100 DOI: 10.1007/s00198-025-07517-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2025] [Accepted: 04/28/2025] [Indexed: 05/08/2025]
2
Iftikhar QUA. Bridging the gap: validating AI for real-world osteoporosis screening. Osteoporos Int 2025:10.1007/s00198-025-07496-z. [PMID: 40232503 DOI: 10.1007/s00198-025-07496-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2025] [Accepted: 04/07/2025] [Indexed: 04/16/2025]
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