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A new paradigm for stratified cognitive assessment: fusing serum Raman spectroscopy and ensemble learning
Yuting Mo, Chenglu Mao, Jialiu Jiang, Shuang Fang, Lili Huang, Zhihong Ke, Zheqi Hu, Dan Yang et al.. Alzheimer s Research & Therapy, 2026-01-30
Topic: Risk, prevention and care in population studies
We developed a serum Raman spectroscopy-based ensemble learning approach for graded cognitive screening. The model distinguishing normal cognition, mild cognitive impairment, and dementia achieved area under curve of 0.92 (testing) and 0.89 (validation). Raman shifts at 1602, 1002, and 1666 cm⁻¹ showed intensity and nodal changes, linking their modulation to both cognitive decline and altered posterior default mode network (pDMN) interactions. The Raman spectroscopy-based ensemble learning model was powerful for cognitive screening. The alteration at the 1602, 1002, and 1666 cm⁻¹ represented key Raman signatures of cognitive impairment, reflecting impaired pDMN-related inter-network interactions.
Key findings
- We developed a serum Raman spectroscopy-based ensemble learning approach for graded cognitive screening.
- The model distinguishing normal cognition, mild cognitive impairment, and dementia achieved area under curve of 0.92 (testing) and 0.89 (validation).
- Raman shifts at 1602, 1002, and 1666 cm⁻¹ showed intensity and nodal changes, linking their modulation to both cognitive decline and altered posterior default mode network (pDMN) interactions.
- The Raman spectroscopy-based ensemble learning model was powerful for cognitive screening.
- The alteration at the 1602, 1002, and 1666 cm⁻¹ represented key Raman signatures of cognitive impairment, reflecting impaired pDMN-related inter-network interactions.
Why it matters
This study developed a serum Raman spectroscopy-based ensemble learning model for graded cognitive screening with high area under the curve. It is a screening approach, not a treatment, cure, or prevention.
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Study details
- Participants220
- Evidence strengthLow
How this study scored 40/100
Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Alzheimer s Research & Therapy) |
| Journal's citation record | 1 / 4 | Alzheimer s Research & Therapy: journal h-index 146 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 5 / 5 | 2026 — within 1 year(s) of the newest study here |
| Sample size | 2 / 4 | 220 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 1 / 7 | Cited 1 times (OpenAlex, 2026-10-10) |
| Citations per year | 0 / 5 | 0.5 citations a year over 2 year(s) since 2026 |
| Impact for its field and year | 2 / 6 | Cited 3.0× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 0 / 4 | Cited 1 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Yan Xu: h-index 25 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | Nanjing University: institution h-index 850 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 2 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 41618450) |
| Free to read | 2 / 2 | Free to read |
| Total | 40 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1186/s13195-026-01975-z
- PubMed: 41618450
- Original source →
- Free full text: Alzheimer s Research & Therapy →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
APA 7th
Mo, Y., Mao, C., Jiang, J., Fang, S., Huang, L., Ke, Z., et al. (2026). A new paradigm for stratified cognitive assessment: fusing serum Raman spectroscopy and ensemble learning. Alzheimer s Research & Therapy. https://doi.org/10.1186/s13195-026-01975-z
Vancouver
Mo Y, Mao C, Jiang J, Fang S, Huang L, Ke Z, et al. A new paradigm for stratified cognitive assessment: fusing serum Raman spectroscopy and ensemble learning. Alzheimer s Research & Therapy. 2026. doi:10.1186/s13195-026-01975-z. PMID: 41618450.
BibTeX
@article{mo2026-41618450,
author = {Mo, Yuting and Mao, Chenglu and Jiang, Jialiu and Fang, Shuang and Huang, Lili and Ke, Zhihong and Hu, Zheqi and Yang, Dan and others},
title = {{A new paradigm for stratified cognitive assessment: fusing serum Raman spectroscopy and ensemble learning}},
journal = {Alzheimer s Research \& Therapy},
year = {2026},
doi = {10.1186/s13195-026-01975-z},
pmid = {41618450},
url = {https://doi.org/10.1186/s13195-026-01975-z}
}
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