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Artificial intelligence-driven translational medicine: a machine learning framework for predicting d...

Artificial intelligence-driven translational medicine: a machine learning framework for predicting d...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_45fd3c556275469eac69850d20ae6b63

Artificial intelligence-driven translational medicine: a machine learning framework for predicting disease outcomes and optimizing patient-centric care

About this item

Full title

Artificial intelligence-driven translational medicine: a machine learning framework for predicting disease outcomes and optimizing patient-centric care

Publisher

England: BioMed Central Ltd

Journal title

Journal of translational medicine, 2025-03, Vol.23 (1), p.302-18, Article 302

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Advancements in artificial intelligence (AI) and machine learning (ML) have revolutionized the medical field and transformed translational medicine. These technologies enable more accurate disease trajectory models while enhancing patient-centered care. However, challenges such as heterogeneous datasets, class imbalance, and scalability remain barr...

Alternative Titles

Full title

Artificial intelligence-driven translational medicine: a machine learning framework for predicting disease outcomes and optimizing patient-centric care

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_45fd3c556275469eac69850d20ae6b63

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_45fd3c556275469eac69850d20ae6b63

Other Identifiers

ISSN

1479-5876

E-ISSN

1479-5876

DOI

10.1186/s12967-025-06308-6

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