ReviewAdvanced materials (Deerfield Beach, Fla.)2020
Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine.
Review in Advanced materials (Deerfield Beach, Fla.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 166 papers, 2 of them syntheses that pooled it.
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
166 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Advances in ultrasound-activated nano-sonosensitizers for cancer treatment: a systematic review and meta-analysis.Ultrasonics sonochemistry · 2026Pooled it
- Effectiveness of Artificial Intelligence for Personalized Medicine in Neoplasms: A Systematic Review.BioMed research international · 2022Pooled it
- Engineering Functional Biomaterials for Targeted and Localized Cancer Drug Delivery: A Structure-Property-Performance Design Perspective.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Review
- Liver Disease and Plant-Derived Phytoconstituents: From Ethnopharmacology to Modern Medicine.Phytotherapy research : PTR · 2026Review
- Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Nanoparticle Platforms in Cancer Immunotherapy: A Critical Comparative Review of PLGA, Mesoporous Silica, Magnetic Nanoparticles, and Covalent Organic Frameworks.Pharmaceutics · 2026Review
- Breaking barriers: nano-boosted drug delivery systems in overcoming the defenses of pancreatic cancer.Molecular cancer · 2026Review
- Engineering smart polymeric lipid nanoparticles for breast cancer: AI-guided formulation design, biological barriers, and translational constraints.Journal of nanobiotechnology · 2026Review
- Virus-like particles in cancer immunotherapy: bridging human and veterinary medicine through one health.Journal of nanobiotechnology · 2026Review
- Artificial Intelligence in Nanopharmaceutical Development: From Predictive Design to Clinical Translation.Pharmaceutics · 2026Review
- Nanotechnology integration in oncology for advanced nanoparticle based strategies in targeted cancer diagnosis and treatment.Discover nano · 2026Review
- Phenotype-Guided Nanotherapeutic Strategies for Carbapenem-ResistantPharmaceutics · 2026Review
- Precision nanomedicine for lung metastatic osteosarcoma: challenges, therapeutic strategies, and perspectives.Materials today. Bio · 2026Review
- Personalized immunotherapy in HCC: synthesis, delivery, and clinical progress of mRNA-based vaccines.Cancer cell international · 2026Review
- Artificial intelligence empowered biomaterials for cancer therapy: From rational design to clinical translation.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026Article
- Advances in artificial metabzymes for macrophage polarization in tumor metabolic immunotherapy.Materials today. Bio · 2026Article
- Polysaccharide-functionalized gold, silver, and iron oxide nanoparticles for siRNA delivery: The role of artificial intelligence in design and optimization.Materials today. Bio · 2026Review
- AI-driven routing and layered architectures for intelligent ICT in nanosensor networked systems.iScience · 2026Review
- AI-driven nanomedicine for cancer theranostics.Molecular cancer · 2026Review
106 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Artificial intelligence (AI) and nanotechnology are two fields that are instrumental in realizing the goal of precision medicine-tailoring the best treatment for each cancer patient. Recent conversion between these two fields is enabling better patient data acquisition and improved design of nanomaterials for precision cancer medicine. Diagnostic nanomaterials are used to assemble a patient-specific disease profile, which is then leveraged, through a set of therapeutic nanotechnologies, to improve the treatment outcome. However, high intratumor and interpatient heterogeneities make the rational design of diagnostic and therapeutic platforms, and analysis of their output, extremely difficult. Integration of AI approaches can bridge this gap, using pattern analysis and classification algorithms for improved diagnostic and therapeutic accuracy. Nanomedicine design also benefits from the application of AI, by optimizing material properties according to predicted interactions with the target drug, biological fluids, immune system, vasculature, and cell membranes, all affecting therapeutic efficacy. Here, fundamental concepts in AI are described and the contributions and promise of nanotechnology coupled with AI to the future of precision cancer medicine are reviewed.
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.