ArticleScientific reports2025
Design and analysis of a GaN-based 2D photonic crystal biosensor integrated with machine learning techniques for detection of skin diseases.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- ANN-PSO Hybrid ML-Optimization of a Hollow-Disk Resonator-Based Photonic Crystal Optical Sensor for HeLa Cell Tumor Detection.Sensors (Basel, Switzerland) · 2026Article
- MoSRSC advances · 2026Article
- Recent Progress in Artificial Intelligence in Biosensor Development: From Bioprobe Design to Fabrication and Signal Analysis.Biosensors · 2026Review
- One-dimensional mid-IR defect-mode photonic crystal biosensor for oral cancer detection.Scientific reports · 2026Article
- Enhanced urine refractive index sensing using a defect-engineered one-dimensional photonic crystal.Scientific reports · 2026Article
- Dispersion Engineering and Sensitivity Enhancement in Photonic Crystal Waveguide Sensors: Current Advances and Emerging Challenges.Sensors (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Photonic crystals are prevalent in the detection of assorted diseases and malignancies such as vitiligo and cutis laxa. A 2D photonic crystal utilizing GaN is demonstrated to detect skin diseases, highlighting its substantial relevance to the photonic sensing community. Various parameters analysed are quality factor, wavelength sensitivity, FWHM, figure of merit and detection limit. The analysis of sensor characteristics demonstrated that GaN is a highly suitable material for detecting vitiligo and cutis laxa. Topology of design is crucial to focus the light on to the sensing region. Opti FDTD tool was used for the design and simulation of the sensor. The photonic band gap was simulated and it was observed that it contained one band gap region. The design provided high transmission efficiency and sensitivity. The various skin abnormalities related to vitiligo and cutis laxa could be easily detected from the results. Machine learning models such as K-nearest neighbor, Random Forest, Support Vector Machine and Multi-Layer Perceptron were adopted to enhance the sensor system to classify the data with higher accuracy.
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.