ReviewBiosensors2025
Designing the Future of Biosensing: Advances in Aptamer Discovery, Computational Modeling, and Diagnostic Applications.
Review in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Molecular Engineering of Aptamers for Glioblastoma Therapy: From Simple Antagonists to AI-Driven Approaches, a Narrative Review.International journal of molecular sciences · 2026Review
- Review
- Structure-guided computational design of DNA tweezers for predicted recognition of the primary glioblastoma biomarkers S100A4 and midkine.Biochemistry and biophysics reports · 2026Article
- Innovations in Aptamer Technology: SELEX To Intelligent Molecular Engineering and Clinical Translation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Review
- Aptamer-Based Fluorescent Biosensors for Kanamycin Detection in Food Systems: Design Strategies, Sensing Mechanisms, and Practical Applications.Foods (Basel, Switzerland) · 2026Review
- 3D-printed perovskite flowers on textile: a functional scaffold for aptamer based point-of-care breast cancer diagnostics.Mikrochimica acta · 2026Article
- Single-sequence based gFET-aptasensors for the discrimination of apo- and holo-RBP4 in human serum.Scientific reports · 2026Article
- Recent Progress in Artificial Intelligence in Biosensor Development: From Bioprobe Design to Fabrication and Signal Analysis.Biosensors · 2026Review
- Next-Generation Strategies to Encounter Antimicrobial Resistance (AMR): From Lariocidin to Gene Editing and Nanotechnology-Based Approaches.Molecules (Basel, Switzerland) · 2026Review
- AI-Assisted Molecular Biosensors: Design Strategies for Wearable and Real-Time Monitoring.International journal of molecular sciences · 2026Review
- A comprehensive review of AI innovations for tackling antimicrobial resistance.Le infezioni in medicina · 2026Review
- Nanotechnology-Assisted Molecular Profiling: Emerging Advances in Circulating Tumor DNA Detection.International journal of nanomedicine · 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
4 authors.
Funding
Abstract
Recent advances in computational tools, particularly machine learning (ML), deep learning (DL), and structure-based modeling, are transforming aptamer research by accelerating discovery and enhancing biosensor development. This review synthesizes progress in predictive algorithms that model aptamer-target interactions, guide in silico sequence optimization, and streamline design workflows for both laboratory and point-of-care diagnostic platforms. We examine how these approaches improve key aspects of aptasensor development, such as aptamer selection, sensing surface immobilization, signal transduction, and molecular architecture, which contribute to greater sensitivity, specificity, and real-time diagnostic capabilities. Particular attention is given to illuminating the technological and experimental advances in structure-switching aptamers, dual-aptamer systems, and applications in electrochemical, optical, and lateral flow platforms. We also discuss current challenges such as the standardization of datasets and interpretability of ML models and highlight future directions that will support the translation of aptamer-based biosensors into scalable, point-of-care and clinically deployable diagnostic solutions.
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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.