Ai-driven autonomous microrobots for targeted medicine

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Navigating medical microrobots through intricate vascular pathways is challenging. AI-driven microrobots that leverage reinforcement learning and generative algorithms could navigate the


body’s complex vascular network to deliver precise dosages of medication directly to targeted lesions. Access through your institution Buy or subscribe This is a preview of subscription


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ADDITIONAL ACCESS OPTIONS: * Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support REFERENCES * Yan, X. et al. Multifunctional biohybrid magnetite


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  Google Scholar  Download references ACKNOWLEDGEMENTS This project has received funding from the European Research Council under the European Union’s Horizon 2020 Research and Innovation


Programme (grant agreement no. 853309, SONOBOTS); the Swiss National Science Foundation under project funding MINT 2022 (grant agreement no. 213058) and Spark 2023 (grant agreement no.


221285); and an ETH research grant (agreement no. ETH-08 20-1). AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Acoustic Robotics Systems Lab, ETH Zurich, Zurich, Switzerland Mahmoud Medany 


& Daniel Ahmed * Accelerated Discovery and AI, IBM Research Europe, Zurich, Switzerland S. Karthik Mukkavilli Authors * Mahmoud Medany View author publications You can also search for


this author inPubMed Google Scholar * S. Karthik Mukkavilli View author publications You can also search for this author inPubMed Google Scholar * Daniel Ahmed View author publications You


can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to Daniel Ahmed. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing


interests. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Medany, M., Mukkavilli, S.K. & Ahmed, D. AI-driven autonomous microrobots for targeted


medicine. _Nat Rev Bioeng_ 2, 914–915 (2024). https://doi.org/10.1038/s44222-024-00232-y Download citation * Published: 13 August 2024 * Issue Date: November 2024 * DOI:


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