ReviewGene therapy2026
Reversing cancer cell behavior using AI-guided CRISPR and quantum nanobiology: a systems-based approach to epigenetic reprogramming.
Review in Gene therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Treatment effectiveness is hindered by the phenotypic plasticity of cancer and the genetic complexity of tumors. However, CRISPR-Cas-based medicines face challenges with specificity, off-target effects, and tumor heterogeneity adaptability. This work investigates the possible combination of quantum biological processes, artificial intelligence, and nanomaterials to improve CRISPR gene editing and modulate or reverse selected malignant phenotypes. Quantum machine learning (QML) can be used to simulate quantum processes like electron tunneling in DNA repair and spin-dependent enzyme activity. To enable exact tumor phenotypic reversal, these models will be combined with optimization approaches powered by AI to direct CRISPR editing in oncogenic signaling networks. Graphene, gold nanoparticles, and lipid-based vectors are some of the nanomaterials that will be used as carriers to effectively and deliver CRISPR systems in a biocompatible manner to the cancer microenvironment. We hypothesize that selected homeostatic gene-expression states may be partially restored in experimental cancer models through the integration of quantum-informed AI, CRISPR gene alteration, and nanomaterial delivery. This integrated strategy could support future cancer therapies that move beyond tumor suppression toward controlled modulation of malignant cell states, although substantial preclinical and clinical validation remains necessary.
Identifiers
42463825What 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.