Publication
Biomarkers for minimally invasive multigrade liver cancer diagnosis using integrative heterogeneous models and evolutionary algorithms.
Rakesh Chandra Joshi, Pallavi Srivastava, Rashmi Mishra, Petr Cika, Radim Burget, Malay Kishore Dutta
Computational biology and chemistryOct 1, 2026PMID 42430946doi:10.1016/j.compbiolchem.2026.109225 Journal ArticlepubmedProvenance
- Source
- PubMed
- Retrieved
- Oct 1, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-PUBMED-20261001-000001
Abstract
Abstract (excerpt)
Only the opening of the abstract is shown; abstract text may carry publisher copyright.
Liver cancer, a leading global cause of death, requires early and accurate diagnosis for better treatment outcomes and reduced mortality rates. This retrospective cohort study presents a machine learning-based predictive framework utilizing a combined panel of minimally invasive circulating…
Read on PubMedLinked entities
Linked entities (1)
How each link was made (MeSH, dictionary, registry reference, curation…) and whether it has been validated. Candidate links are not counted in entity statistics.
Candidate 1
- cancerMalignant Liver Neoplasmdictionary0.60
Curated evidence
Evidence citing this paper (0)
Data not yet available
No curated evidence item cites this publication.