From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care
<b>Background/Objectives</b>: The dual forces of structured inquiry and serendipitous discovery have long shaped neuropsychiatric research, with groundbreaking treatments such as lithium and ketamine resulting from unexpected discoveries. However, relying on chance is becoming increasing...
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MDPI AG
2025-01-01
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| Series: | Biomedicines |
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| Online Access: | https://www.mdpi.com/2227-9059/13/1/167 |
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| author | Masaru Tanaka |
| author_facet | Masaru Tanaka |
| author_sort | Masaru Tanaka |
| collection | DOAJ |
| description | <b>Background/Objectives</b>: The dual forces of structured inquiry and serendipitous discovery have long shaped neuropsychiatric research, with groundbreaking treatments such as lithium and ketamine resulting from unexpected discoveries. However, relying on chance is becoming increasingly insufficient to address the rising prevalence of mental health disorders like depression and schizophrenia, which necessitate precise, innovative approaches. Emerging technologies like artificial intelligence, induced pluripotent stem cells, and multi-omics have the potential to transform this field by allowing for predictive, patient-specific interventions. Despite these advancements, traditional methodologies such as animal models and single-variable analyses continue to be used, frequently failing to capture the complexities of human neuropsychiatric conditions. <b>Summary:</b> This review critically evaluates the transition from serendipity to precision-based methodologies in neuropsychiatric research. It focuses on key innovations such as dynamic systems modeling and network-based approaches that use genetic, molecular, and environmental data to identify new therapeutic targets. Furthermore, it emphasizes the importance of interdisciplinary collaboration and human-specific models in overcoming the limitations of traditional approaches. <b>Conclusions:</b> We highlight precision psychiatry’s transformative potential for revolutionizing mental health care. This paradigm shift, which combines cutting-edge technologies with systematic frameworks, promises increased diagnostic accuracy, reproducibility, and efficiency, paving the way for tailored treatments and better patient outcomes in neuropsychiatric care. |
| format | Article |
| id | doaj-art-14fd0bc67e074231983208cc46c9d5bb |
| institution | Kabale University |
| issn | 2227-9059 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biomedicines |
| spelling | doaj-art-14fd0bc67e074231983208cc46c9d5bb2025-01-24T13:24:15ZengMDPI AGBiomedicines2227-90592025-01-0113116710.3390/biomedicines13010167From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric CareMasaru Tanaka0HUN-REN-SZTE Neuroscience Research Group, Hungarian Research Network, University of Szeged (HUN-REN-SZTE), Danube Neuroscience Research Laboratory, Tisza Lajos krt. 113, H-6725 Szeged, Hungary<b>Background/Objectives</b>: The dual forces of structured inquiry and serendipitous discovery have long shaped neuropsychiatric research, with groundbreaking treatments such as lithium and ketamine resulting from unexpected discoveries. However, relying on chance is becoming increasingly insufficient to address the rising prevalence of mental health disorders like depression and schizophrenia, which necessitate precise, innovative approaches. Emerging technologies like artificial intelligence, induced pluripotent stem cells, and multi-omics have the potential to transform this field by allowing for predictive, patient-specific interventions. Despite these advancements, traditional methodologies such as animal models and single-variable analyses continue to be used, frequently failing to capture the complexities of human neuropsychiatric conditions. <b>Summary:</b> This review critically evaluates the transition from serendipity to precision-based methodologies in neuropsychiatric research. It focuses on key innovations such as dynamic systems modeling and network-based approaches that use genetic, molecular, and environmental data to identify new therapeutic targets. Furthermore, it emphasizes the importance of interdisciplinary collaboration and human-specific models in overcoming the limitations of traditional approaches. <b>Conclusions:</b> We highlight precision psychiatry’s transformative potential for revolutionizing mental health care. This paradigm shift, which combines cutting-edge technologies with systematic frameworks, promises increased diagnostic accuracy, reproducibility, and efficiency, paving the way for tailored treatments and better patient outcomes in neuropsychiatric care.https://www.mdpi.com/2227-9059/13/1/167precision medicineartificial intelligence (AI)neuropsychiatric disordersinduced pluripotent stem cells (iPSCs)multi-omics integrationmental health care |
| spellingShingle | Masaru Tanaka From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care Biomedicines precision medicine artificial intelligence (AI) neuropsychiatric disorders induced pluripotent stem cells (iPSCs) multi-omics integration mental health care |
| title | From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care |
| title_full | From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care |
| title_fullStr | From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care |
| title_full_unstemmed | From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care |
| title_short | From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care |
| title_sort | from serendipity to precision integrating ai multi omics and human specific models for personalized neuropsychiatric care |
| topic | precision medicine artificial intelligence (AI) neuropsychiatric disorders induced pluripotent stem cells (iPSCs) multi-omics integration mental health care |
| url | https://www.mdpi.com/2227-9059/13/1/167 |
| work_keys_str_mv | AT masarutanaka fromserendipitytoprecisionintegratingaimultiomicsandhumanspecificmodelsforpersonalizedneuropsychiatriccare |