ArticleFrontiers in bioengineering and biotechnology2024
Magnetically actuated sonodynamic nanorobot collectives for potentiated ovarian cancer therapy.
Article in Frontiers in bioengineering and biotechnology, 2024. 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
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Who cites it
6 citing papers in PubMed.
- Recent Advances in the Applications of Biomaterials in Ovarian Cancer.Biomimetics (Basel, Switzerland) · 2025Review
- Prognostic and clinical value of serum albumin, cortisol and TNF-a in treatment selection for advanced ovarian cancer patients.Journal of medical biochemistry · 2025Article
- Preparation of LaFrontiers in bioengineering and biotechnology · 2025Article
- Advanced Microrobots Driven by Acoustic and Magnetic Fields for Biomedical Applications.Cyborg and bionic systems (Washington, D.C.) · 2025Review
- Nanoparticle-ultrasound synergy: an emerging theranostic paradigm for breast and gynecologic cancers.Frontiers in oncology · 2025Review
- Research progress on the induction of immunogenic cell death in tumor immunotherapy using a sonodynamic therapy nanoparticle delivery system.Frontiers in immunology · 2025Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ovarian cancer presents a substantial challenge due to its high mortality and recurrence rates among gynecological tumors. Existing clinical chemotherapy treatments are notably limited by drug resistance and systemic toxic side effects caused by off target drugs. Sonodynamic therapy (SDT) has emerged as a promising approach in cancer treatment, motivating researchers to explore synergistic combinations with other therapies for enhanced efficacy. In this study, we developed magnetic sonodynamic nanorobot (Fe
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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.