A computational roadmap to electronic drugs
A growing number of complex neurostimulation strategies promise symptom relief and functional recovery for several neurological, psychiatric, and even multi-organ disorders. Although pharmacological interventions are currently the mainstay of treatment, neurostimulation offers a potentially effectiv...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Neurorobotics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnbot.2022.983072/full |
| _version_ | 1797991622195019776 |
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| author | Andreas Rowald Oliver Amft Oliver Amft Oliver Amft |
| author_facet | Andreas Rowald Oliver Amft Oliver Amft Oliver Amft |
| author_sort | Andreas Rowald |
| collection | DOAJ |
| description | A growing number of complex neurostimulation strategies promise symptom relief and functional recovery for several neurological, psychiatric, and even multi-organ disorders. Although pharmacological interventions are currently the mainstay of treatment, neurostimulation offers a potentially effective and safe alternative, capable of providing rapid adjustment to short-term variation and long-term decline of physiological functions. However, rapid advances made by clinical studies have often preceded the fundamental understanding of mechanisms underlying the interactions between stimulation and the nervous system. In turn, therapy design and verification are largely driven by clinical-empirical evidence. Even with titanic efforts and budgets, it is infeasible to comprehensively explore the multi-dimensional optimization space of neurostimulation through empirical research alone, especially since anatomical structures and thus outcomes vary dramatically between patients. Instead, we believe that the future of neurostimulation strongly depends on personalizable computational tools, i.e. Digital Neuro Twins (DNTs) to efficiently identify effective and safe stimulation parameters. DNTs have the potential to accelerate scientific discovery and hypothesis-driven engineering, and aid as a critical regulatory and clinical decision support tool. We outline here how DNTs will pave the way toward effective, cost-, time-, and risk-limited electronic drugs with a broad application bandwidth. |
| first_indexed | 2024-04-11T08:53:47Z |
| format | Article |
| id | doaj.art-53461d5ed1de42bf9604f3a9325b5406 |
| institution | Directory Open Access Journal |
| issn | 1662-5218 |
| language | English |
| last_indexed | 2024-04-11T08:53:47Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurorobotics |
| spelling | doaj.art-53461d5ed1de42bf9604f3a9325b54062022-12-22T04:33:20ZengFrontiers Media S.A.Frontiers in Neurorobotics1662-52182022-10-011610.3389/fnbot.2022.983072983072A computational roadmap to electronic drugsAndreas Rowald0Oliver Amft1Oliver Amft2Oliver Amft3ProModell Group, Chair of Digital Health, Department of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, GermanyProModell Group, Chair of Digital Health, Department of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, GermanyIntelligent Embedded Systems Lab, Institute of Computer Science, University of Freiburg, Freiburg im Breisgau, GermanyHahn-Schickard, Freiburg, GermanyA growing number of complex neurostimulation strategies promise symptom relief and functional recovery for several neurological, psychiatric, and even multi-organ disorders. Although pharmacological interventions are currently the mainstay of treatment, neurostimulation offers a potentially effective and safe alternative, capable of providing rapid adjustment to short-term variation and long-term decline of physiological functions. However, rapid advances made by clinical studies have often preceded the fundamental understanding of mechanisms underlying the interactions between stimulation and the nervous system. In turn, therapy design and verification are largely driven by clinical-empirical evidence. Even with titanic efforts and budgets, it is infeasible to comprehensively explore the multi-dimensional optimization space of neurostimulation through empirical research alone, especially since anatomical structures and thus outcomes vary dramatically between patients. Instead, we believe that the future of neurostimulation strongly depends on personalizable computational tools, i.e. Digital Neuro Twins (DNTs) to efficiently identify effective and safe stimulation parameters. DNTs have the potential to accelerate scientific discovery and hypothesis-driven engineering, and aid as a critical regulatory and clinical decision support tool. We outline here how DNTs will pave the way toward effective, cost-, time-, and risk-limited electronic drugs with a broad application bandwidth.https://www.frontiersin.org/articles/10.3389/fnbot.2022.983072/fullcomputational modelingdigital twinsneurostimulationneuromodulationneurological disorderspsychiatric disorders |
| spellingShingle | Andreas Rowald Oliver Amft Oliver Amft Oliver Amft A computational roadmap to electronic drugs Frontiers in Neurorobotics computational modeling digital twins neurostimulation neuromodulation neurological disorders psychiatric disorders |
| title | A computational roadmap to electronic drugs |
| title_full | A computational roadmap to electronic drugs |
| title_fullStr | A computational roadmap to electronic drugs |
| title_full_unstemmed | A computational roadmap to electronic drugs |
| title_short | A computational roadmap to electronic drugs |
| title_sort | computational roadmap to electronic drugs |
| topic | computational modeling digital twins neurostimulation neuromodulation neurological disorders psychiatric disorders |
| url | https://www.frontiersin.org/articles/10.3389/fnbot.2022.983072/full |
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