Machine-intelligent multimodal algebot for intracavitary chemotherapy
Lin Lin1, Haohui Li1, Qi Zhou2
1State Key Laboratory of Vaccines for Infectious Diseases & Fujian Engineering Research Center of Molecular Theranostic Technology, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China.
Nature Nanotechnology
|June 22, 2026
Summary
Biohybrid magnetic algae microrobots, termed "algebots," significantly enhance bladder cancer drug delivery. This non-invasive approach overcomes biological barriers, improving chemotherapy efficacy and safety.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Oncology
Background:
- Intracavitary chemotherapy for bladder cancer faces challenges with drug targeting and penetration.
- Current methods show limited efficacy due to poor drug permeation across biological barriers.
Purpose of the Study:
- To develop a novel biohybrid magnetic algae microrobot system for enhanced intracavitary drug delivery.
- To improve drug targeting, penetration, and therapeutic outcomes in bladder cancer treatment.
Main Methods:
- Development of hierarchical nanoporous algae microrobots ('algebots') with magnetic properties.
- Utilizing machine-intelligent image feedback for autonomous navigation and multimodal control.
- Employing a non-contact convective transport strategy for targeted drug delivery and release.
Main Results:
- Demonstrated over tenfold increase in drug permeation compared to conventional methods.
- Achieved significant reduction in bladder tumour burden to less than 3% in a murine model.
- Confirmed no systemic toxicity after 1-week therapy in preclinical trials.
Conclusions:
- The 'algebot' system offers a non-invasive solution to overcome biological barriers in intracavitary chemotherapy.
- This approach advances the efficacy and safety of bladder cancer treatment.
- The technology shows potential for overcoming complex biological barriers in various localized therapies.
