From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment

Machine learning (ML) is increasingly used in clinical oncology to diagnose cancers, predict patient outcomes, and inform treatment planning. Here, we review recent applications of ML across the clinical oncology workflow. We review how these techniques are applied to medical imaging and to molecula...

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Veröffentlicht in:	Cell 2023-04, Vol.186 (8), p.1772-1791
Hauptverfasser:	Swanson, Kyle, Wu, Eric, Zhang, Angela, Alizadeh, Ash A., Zou, James
Format:	Artikel
Sprache:	eng
Schlagworte:	Diagnostic Imaging Humans liquids Machine Learning Medical Oncology neoplasms Neoplasms - diagnosis Neoplasms - genetics Neoplasms - therapy patients prognosis
Online-Zugang:	Volltext
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