Artificial intelligence based advancements in nanomedicine for brain disorder management: an updated narrative review
Nanomedicines are nanoscale, biocompatible materials that offer promising alternatives to conventional treatment options for brain disorders. The recent technological developments in artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), are transforming the nanomed...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1599340/full |
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| author | Pankaj Dipankar Diego Salazar Elizabeth Dennard Shanid Mohiyuddin Quynh C. Nguyen |
| author_facet | Pankaj Dipankar Diego Salazar Elizabeth Dennard Shanid Mohiyuddin Quynh C. Nguyen |
| author_sort | Pankaj Dipankar |
| collection | DOAJ |
| description | Nanomedicines are nanoscale, biocompatible materials that offer promising alternatives to conventional treatment options for brain disorders. The recent technological developments in artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), are transforming the nanomedicine field by improving disease diagnosis, biomarker identification, prognostic assessment and disease monitoring, targeted drug delivery, and therapeutic intervention as well as contributing to computational and methodological developments. These advancements can be achieved by analysis of large clinical datasets and facilitating the design and optimization of nanomaterials for in vivo testing. Such advancement offers exciting possibilities for the improvement in the management of brain disorders, including brain cancer, Alzheimer’s disease, Parkinson’s disease, and multiple sclerosis, where early diagnosis, targeted delivery, and effective treatment strategies remain a great challenge. This review article provides an overview of recent advances in AI-based nanomedicine development to accelerate effective and quick diagnosis, biomarker identification, prognosis, drug delivery, methodological advancement and patient-specific therapies for managing brain disorders. |
| format | Article |
| id | doaj-art-265b4e4cb3a044cbae74445d8887cac6 |
| institution | DOAJ |
| issn | 2296-858X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj-art-265b4e4cb3a044cbae74445d8887cac62025-08-20T02:57:36ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-05-011210.3389/fmed.2025.15993401599340Artificial intelligence based advancements in nanomedicine for brain disorder management: an updated narrative reviewPankaj Dipankar0Diego Salazar1Elizabeth Dennard2Shanid Mohiyuddin3Quynh C. Nguyen4National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, United StatesNational Institute of Nursing Research, National Institutes of Health, Bethesda, MD, United StatesSchool of Public Health, Epidemiology and Biostatistics, University of Maryland, College Park, MD, United StatesDivision of Hematology and Medical Oncology, Department of Medicine, Ellis Fischel Cancer Center, University of Missouri, Columbia, MO, United StatesNational Institute of Nursing Research, National Institutes of Health, Bethesda, MD, United StatesNanomedicines are nanoscale, biocompatible materials that offer promising alternatives to conventional treatment options for brain disorders. The recent technological developments in artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), are transforming the nanomedicine field by improving disease diagnosis, biomarker identification, prognostic assessment and disease monitoring, targeted drug delivery, and therapeutic intervention as well as contributing to computational and methodological developments. These advancements can be achieved by analysis of large clinical datasets and facilitating the design and optimization of nanomaterials for in vivo testing. Such advancement offers exciting possibilities for the improvement in the management of brain disorders, including brain cancer, Alzheimer’s disease, Parkinson’s disease, and multiple sclerosis, where early diagnosis, targeted delivery, and effective treatment strategies remain a great challenge. This review article provides an overview of recent advances in AI-based nanomedicine development to accelerate effective and quick diagnosis, biomarker identification, prognosis, drug delivery, methodological advancement and patient-specific therapies for managing brain disorders.https://www.frontiersin.org/articles/10.3389/fmed.2025.1599340/fullartificial intelligencebrain disordersdeep learningnanomaterialmachine learningnanomedicine |
| spellingShingle | Pankaj Dipankar Diego Salazar Elizabeth Dennard Shanid Mohiyuddin Quynh C. Nguyen Artificial intelligence based advancements in nanomedicine for brain disorder management: an updated narrative review Frontiers in Medicine artificial intelligence brain disorders deep learning nanomaterial machine learning nanomedicine |
| title | Artificial intelligence based advancements in nanomedicine for brain disorder management: an updated narrative review |
| title_full | Artificial intelligence based advancements in nanomedicine for brain disorder management: an updated narrative review |
| title_fullStr | Artificial intelligence based advancements in nanomedicine for brain disorder management: an updated narrative review |
| title_full_unstemmed | Artificial intelligence based advancements in nanomedicine for brain disorder management: an updated narrative review |
| title_short | Artificial intelligence based advancements in nanomedicine for brain disorder management: an updated narrative review |
| title_sort | artificial intelligence based advancements in nanomedicine for brain disorder management an updated narrative review |
| topic | artificial intelligence brain disorders deep learning nanomaterial machine learning nanomedicine |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1599340/full |
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