Biomarker Panels
Research gap analysis derived from 2 medicine papers in our local library.
The gap
Future research should expand biomarker panels to include a comprehensive set of markers such as microRNAs, osteocyte-derived markers (sclerostin and DMP1), progenitor cell recruitment signals (SDF-1 and CXCR4), coupling factors (TGF-β and IGF-1), and specific EMT marker panels for osseointegration and choroidal melanoma.
Consensus across the literature
The papers collectively establish the need for more comprehensive biomarker panels but leave open the specific markers to be included in these panels.
Research trend
Emerging — attention growing, methods still coalescing.
Supporting evidence — 5 representative gaps
- CLINICAL SIGNIFICANCE OF THE IDENTIFIED MICRO-RNAs AS PREDICTORS OF THYROID CANCER AND DISEASE COURSE (2026) · doi
Integration of microRNA analysis with traditional clinico-morphological criteria is limited by the restricted prognostic value of individual microRNAs, suggesting need for combined biomarker panels.
Keywords: integration microrna traditional clinico morphological criteria limited restricted prognostic value individual micrornas suggesting need combined - Monitoring Osseointegration: The Role of Bone Biomarkers in Dental Implant Success (2026) · doi
Current biomarker panels predominantly focus on a narrow set of bone turnover and inflammatory markers, often treating them as isolated indicators, which oversimplifies the complex cellular interplay essential for balanced bone remodeling and osseointegration.
Keywords: bone current biomarker panels predominantly focus narrow turnover inflammatory markers often treating them isolated indicators - Monitoring Osseointegration: The Role of Bone Biomarkers in Dental Implant Success (2026) · doi
Future research should expand biomarker panels to include osteocyte-derived markers such as sclerostin and DMP1.
Keywords: future expand biomarker panels include osteocyte derived markers sclerostin - Monitoring Osseointegration: The Role of Bone Biomarkers in Dental Implant Success (2026) · doi
Future research should incorporate progenitor cell recruitment signals like SDF-1 and CXCR4 into biomarker panels.
Keywords: future incorporate progenitor cell recruitment signals like cxcr biomarker panels - Monitoring Osseointegration: The Role of Bone Biomarkers in Dental Implant Success (2026) · doi
Future research should include coupling factors such as TGF-β and IGF-1 in comprehensive biomarker panels.
Keywords: future include coupling factors comprehensive biomarker panels
Explore this gap further
Search “Biomarker Panels” across open scholarly engines for the latest related literature.
Working on this gap? Publish with us.
Science AI Journal reviews manuscripts in under 15 minutes with 8 specialised AI reviewers calibrated on 23,000+ real peer reviews. Open access, CC BY 4.0.
Free tools for your next paper
Related gaps in Medicine
- Liability and legal frameworks for organizations using AI in clinical decision-making processes require development and clarification.Liability and legal frameworks for organizations using AI in clinical decision-making processes require development and clarification.
- Recent literature from 2025 to 2026 has firmly established AI as a core driver in the methodological evolution of precision oncology for HCC. By implementing VFMs to mitigate imaging domain shifts andRecent literature from 2025 to 2026 has firmly established AI as a core driver in the methodological evolution of precision oncology for HCC.…
- PURPOSE: The aim of this review was to critically appraise the literature on the use of antibiotics to treat peri-implantitis, with the ultimate goal of supporting evidence-based clinical recommendatiPURPOSE: The aim of this review was to critically appraise the literature on the use of antibiotics to treat peri-implantitis, with the ulti…
- External validation is required before the model can be applied in clinical settings.External validation is required before the model can be applied in clinical settings.