ReviewChemistryOpen2023
SERS-Based Biosensors Combined with Machine Learning for Medical Application.
Review in ChemistryOpen, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 85 citations in OpenAlex.
- Machine Learning-Enabled Intelligent Analysis of Surface-Enhanced Raman Scattering: Methods, Applications, and Perspectives.Molecules (Basel, Switzerland) · 2026Review
- Machine learning-enhanced identification of fluorophilic interactions for improved SERS detection of PFOA.Environmental science. Nano · 2026Article
- Engineered Protein Modification: A New Paradigm for Enhancing Biosensing Sensitivity and Diagnostic Accuracy.Biosensors · 2025Review
- A Review of High-Sensitivity SERS-Active Photonic Crystal Fiber Sensors for Chemical and Biological Detection.Sensors (Basel, Switzerland) · 2025Review
- Cancer and Aging Biomarkers: Classification, Early Detection Technologies and Emerging Research Trends.Biosensors · 2025Review
- Electrochemiluminescence of titanium dioxide nanomaterials for sensing applications.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025Review
- Design Principles of Nanosensors for Multiplex Detection of Contaminants in Food.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
- Determining mosquito age using surface-enhanced Raman spectroscopy and artificial neural networks: insights into the influence of origin and sex.Parasites & vectors · 2025Article
- Direct SERS Detection of Nucleic Acids in the Presence of Spermine: A Unified Nanoparticle Platform Allows for the Elucidation of Surface Adsorption Hierarchies.The journal of physical chemistry. C, Nanomaterials and interfaces · 2025Article
- Recent Advances in Food Safety: Nanostructure-Sensitized Surface-Enhanced Raman Sensing.Foods (Basel, Switzerland) · 2025Review
- Surface Enhanced Raman Scattering for Biomolecular Sensing in Human Healthcare Monitoring.ACS nano · 2025Review
- Integration of Nanoengineering with Artificial Intelligence and Machine Learning in Surface-Enhanced Raman Spectroscopy (SERS) for the Development of Advanced Biosensing Platforms.Advanced sensor research · 2025Article
- AI in SERS sensing moving from discriminative to generative.Npj biosensing · 2025Review
- Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning.The breast journal · 2025Article
- Advancements in SERS: Revolutionizing Biomedical Analysis and Applications.Nanotheranostics · 2025Review
- Machine Learning-Assisted Surface-Enhanced Raman Spectroscopy Detection for Environmental Applications: A Review.Environmental science & technology · 2024Review
- Review
- Analytical Methods for Assessing Thiol Antioxidants in Biological Fluids: A Review.Molecules (Basel, Switzerland) · 2024Review
- SERS biosensors for liquid biopsy towards cancer diagnosis by detection of various circulating biomarkers: current progress and perspectives.Nano convergence · 2024Review
- Machine Learning for COVID-19 Determination Using Surface-Enhanced Raman Spectroscopy.Biomedicines · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surface-enhanced Raman spectroscopy (SERS) has shown strength in non-invasive, rapid, trace analysis and has been used in many fields in medicine. Machine learning (ML) is an algorithm that can imitate human learning styles and structure existing content with the knowledge to effectively improve learning efficiency. Integrating SERS and ML can have a promising future in the medical field. In this review, we summarize the applications of SERS combined with ML in recent years, such as the recognition of biological molecules, rapid diagnosis of diseases, developing of new immunoassay techniques, and enhancing SERS capabilities in semi-quantitative measurements. Ultimately, the possible opportunities and challenges of combining SERS with ML are addressed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.