An artificial intelligence-enhanced early ovarian cancer diagnosis biosensor

Q: How does OCRA curate its research paper database?

OCRA indexes peer-reviewed papers from PubMed and CrossRef, enriched with MeSH terms, author profiles, and citation metrics. Papers are categorized by cancer type, research method, and clinical relevance.

Q: Can I search papers by MeSH term or author?

Yes. Use the search bar to filter papers by MeSH term, author name, journal, keyword, or cancer type. Each paper includes linked MeSH terms and author profiles for further exploration.

Q: How current is the paper database?

The database is updated regularly through automated ingestion from PubMed and CrossRef. Most papers appear within days of their PubMed indexing date.

Tao Hu; Xiao Li; Zhonghua Ni

doi:10.1039/d5tb00993f

An artificial intelligence-enhanced early ovarian cancer diagnosis biosensor

Tao Hu & Zhonghua Ni et al. · 2025-09-24

A MoS₂/PDDA layer-by-layer SERS biosensor enables simultaneous detection of ovarian cancer EVs and multiple membrane proteins, and facilitates diagnostic modeling via machine learning on serum samples.

An artificial intelligence-enhanced early ovarian cancer diagnosis biosensor

Links

Journal

Institutions

Authors

Funding