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The Role of Machine Learning and Artificial Intelligence in Drug Discovery and Clinical Care of Pulmonary Hypertension.

The Role of Machine Learning and Artificial Intelligence in Drug Discovery and Clinical Care of Pulmonary Hypertension.

期刊: Heart failure clinics 日期: 2026-07-01 PMID: 42309629 DOI: 10.1016/j.hfc.2026.02.009 浏览: 31
作者: Bischof E, Haber C, Lidströmer N
E, B., C, H., & N, L. (2026). The Role of Machine Learning and Artificial Intelligence in Drug Discovery and Clinical Care of Pulmonary Hypertension.. Heart failure clinics. https://doi.org/10.1016/j.hfc.2026.02.009
E B, C H, N L. The Role of Machine Learning and Artificial Intelligence in Drug Discovery and Clinical Care of Pulmonary Hypertension.. Heart failure clinics. 2026; doi: 10.1016/j.hfc.2026.02.009
E B, C H, N L. The Role of Machine Learning and Artificial Intelligence in Drug Discovery and Clinical Care of Pulmonary Hypertension.[J]. Heart failure clinics. 2026. DOI: 10.1016/j.hfc.2026.02.009.
@article{e2026,
  author = {Bischof E and Haber C and Lidströmer N},
  title = {The Role of Machine Learning and Artificial Intelligence in Drug Discovery and Clinical Care of Pulmonary Hypertension.},
  journal = {Heart failure clinics},
  year = {2026},
  doi = {10.1016/j.hfc.2026.02.009},
  note = {PMID: 42309629},
}
TY  - JOUR
AU  - Bischof E
AU  - Haber C
AU  - Lidströmer N
TI  - The Role of Machine Learning and Artificial Intelligence in Drug Discovery and Clinical Care of Pulmonary Hypertension.
T2  - Heart failure clinics
PY  - 2026
DO  - 10.1016/j.hfc.2026.02.009
AN  - PMID:42309629
ER  - 

摘要

Pulmonary hypertension (PH) is a severe and oftentimes fatal disease with a high degree of clinical variability. Its complexity necessitates a multifaceted approach, with clinical and prognostic results significantly improved with earlier identification and initiation of treatment. Developments in artificial intelligence (AI) and machine learning (ML) allow earlier diagnosis, individualized treatments, and new therapeutic options, which have already shown real potential to improve patient outcomes; such an intricate approach was not feasible before the AI innovations of the last decade. This article outlines the current applications of AI and ML for diagnostics, treatment optimization, surveillance, and drug discovery for PH.

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