Integrating miRNA profiling and machine learning for improved prostate cancer diagnosis

Abstract Prostate cancer (PCa) diagnosis remains challenging due to overlapping clinical features with benign prostatic hyperplasia (BPH) and limitations of existing diagnostic tools like PSA tests, which yield high false-positive rates. This study investigates the potential of microRNA (miRNA) biom...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Shweta Singh, Abhay Kumar Pathak, Sukhad Kural, Lalit Kumar, Madan Gopal Bhardwaj, Mahima Yadav, Sameer Trivedi, Parimal Das, Manjari Gupta, Garima Jain
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Nature Portfolio 2025-08-01
Sarja:	Scientific Reports
Aiheet:	Liquid biopsy Random forest Prostate cancer miRNAs Biomarker Cancer diagnostics
Linkit:	https://doi.org/10.1038/s41598-025-99754-7
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