Machine learning in cancer prognostic and diagnostic biomarkers: A promising approach for early cancer detection
Pegah Vosoughi, Seyed Morteza Naghib, Ghasem Takdehghan
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.1016/j.snr.2025.100385 ↗
- Volume · Issue · Pages
- 10 · — · 100385-100385
- Publisher
- Elsevier BV
- Article URL
- https://doi.org/10.1016/j.snr.2025.100385 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
17 Sep 2025
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 17 Sep 2025 | OpenAlex |
Keywords (as given): machine learning; deep learning; tumor markers; early cancer detection; prognostic factors; diagnostic biomarkers; biomarker discovery; feature selection; analytical validity; clinical validity; personalized medicine; genomic data analysis; proteomic profile
HEC Status at Publication Not the journal's current status
HEC Status at PublicationNot conclusive
Historical status could not be conclusively determined.
- Some rows of the HEC list for this period are not yet matched to a journal, so absence cannot be proved. Pending verification.
Best available information, not a definitive status: Some rows of the HEC list for this period are not yet matched to a journal, so absence cannot be proved. Pending verification.
- Journal
- Sensors and Actuators Reports
- Publication date used
- 17 Sep 2025 (OpenAlex publication date)
- Applicable HEC period
- 2024–25 (version 1) · 01 Oct 2024 – 31 Mar 2026
- Category
- —
- Recognition status
- Pending Verification (PERIOD_HAS_UNMATCHED_ROWS)
- Source
- —
- Verification status
- Unverified
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.