Personalized home based neurostimulation via AI optimization augments sustained attention
Abstract Brain-based technologies for human augmentation face challenges in personalization and real-world translation. We present an AI-driven personalized Bayesian optimization algorithm that remotely adjusts neurostimulation parameters based on baseline ability and head anatomy to enhance sustain...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01744-6 |
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| author | Roi Cohen Kadosh Delia Ciobotaru Malin I. Karstens Vu Nguyen |
| author_facet | Roi Cohen Kadosh Delia Ciobotaru Malin I. Karstens Vu Nguyen |
| author_sort | Roi Cohen Kadosh |
| collection | DOAJ |
| description | Abstract Brain-based technologies for human augmentation face challenges in personalization and real-world translation. We present an AI-driven personalized Bayesian optimization algorithm that remotely adjusts neurostimulation parameters based on baseline ability and head anatomy to enhance sustained attention at home. Validated through in silico modeling and a double-blind, sham-controlled study, our approach aligns with MRI-based models and neurobiological theories, maximizing efficacy and enabling scalable, personalized cognitive enhancement and therapy in real-world settings. |
| format | Article |
| id | doaj-art-7304ce5251cc4cb6a7d97e384b35aa16 |
| institution | Kabale University |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-7304ce5251cc4cb6a7d97e384b35aa162025-08-20T04:03:11ZengNature Portfolionpj Digital Medicine2398-63522025-07-01811910.1038/s41746-025-01744-6Personalized home based neurostimulation via AI optimization augments sustained attentionRoi Cohen Kadosh0Delia Ciobotaru1Malin I. Karstens2Vu Nguyen3School of Psychology, University of SurreySchool of Psychology, University of SurreyCognite Neurotechnology LtdAmazonAbstract Brain-based technologies for human augmentation face challenges in personalization and real-world translation. We present an AI-driven personalized Bayesian optimization algorithm that remotely adjusts neurostimulation parameters based on baseline ability and head anatomy to enhance sustained attention at home. Validated through in silico modeling and a double-blind, sham-controlled study, our approach aligns with MRI-based models and neurobiological theories, maximizing efficacy and enabling scalable, personalized cognitive enhancement and therapy in real-world settings.https://doi.org/10.1038/s41746-025-01744-6 |
| spellingShingle | Roi Cohen Kadosh Delia Ciobotaru Malin I. Karstens Vu Nguyen Personalized home based neurostimulation via AI optimization augments sustained attention npj Digital Medicine |
| title | Personalized home based neurostimulation via AI optimization augments sustained attention |
| title_full | Personalized home based neurostimulation via AI optimization augments sustained attention |
| title_fullStr | Personalized home based neurostimulation via AI optimization augments sustained attention |
| title_full_unstemmed | Personalized home based neurostimulation via AI optimization augments sustained attention |
| title_short | Personalized home based neurostimulation via AI optimization augments sustained attention |
| title_sort | personalized home based neurostimulation via ai optimization augments sustained attention |
| url | https://doi.org/10.1038/s41746-025-01744-6 |
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