Paradigm shift required for translational research on the brain
Biomedical research on the brain has led to many discoveries and developments, such as understanding human consciousness and the mind and overcoming brain diseases. However, historical biomedical research on the brain has unique characteristics that differ from those of conventional biomedical resea...
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| Published in | Experimental & molecular medicine Vol. 56; no. 5; pp. 1043 - 1054 |
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| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Nature Publishing Group UK
01.05.2024
Springer Nature B.V Nature Publishing Group 생화학분자생물학회 |
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| Abstract | Biomedical research on the brain has led to many discoveries and developments, such as understanding human consciousness and the mind and overcoming brain diseases. However, historical biomedical research on the brain has unique characteristics that differ from those of conventional biomedical research. For example, there are different scientific interpretations due to the high complexity of the brain and insufficient intercommunication between researchers of different disciplines owing to the limited conceptual and technical overlap of distinct backgrounds. Therefore, the development of biomedical research on the brain has been slower than that in other areas. Brain biomedical research has recently undergone a paradigm shift, and conducting patient-centered, large-scale brain biomedical research has become possible using emerging high-throughput analysis tools. Neuroimaging, multiomics, and artificial intelligence technology are the main drivers of this new approach, foreshadowing dramatic advances in translational research. In addition, emerging interdisciplinary cooperative studies provide insights into how unresolved questions in biomedicine can be addressed. This review presents the in-depth aspects of conventional biomedical research and discusses the future of biomedical research on the brain.
Unlocking brain mysteries: high-throughput tools transform brain biomedical research
Biomedical research, which is the study of health and disease, has greatly improved our ability to manage diseases and has advanced global healthcare. However, understanding the causes of most brain disorders is still a challenge due to the limitations of traditional research methods. This study introduces a new translational research method that combines high-throughput analysis tools—which are techniques that can analyze a large amount of data quickly - like neuroimaging, multi-omics, and artificial intelligence (AI). The study suggests that combining neuroimaging, multi-omics, and AI can offer valuable insights, such as new disease markers, subtypes, and treatments. The authors believe this new method could overcome the limitations of traditional methods, leading to a better understanding of brain disorders and the development of new diagnostic tools and treatments.
This summary was initially drafted using artificial intelligence, then revised and fact-checked by the author. |
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| AbstractList | Biomedical research on the brain has led to many discoveries and developments, such as understanding human consciousness and the mind and overcoming brain diseases. However, historical biomedical research on the brain has unique characteristics that differ from those of conventional biomedical research. For example, there are different scientific interpretations due to the high complexity of the brain and insufficient intercommunication between researchers of different disciplines owing to the limited conceptual and technical overlap of distinct backgrounds. Therefore, the development of biomedical research on the brain has been slower than that in other areas. Brain biomedical research has recently undergone a paradigm shift, and conducting patient-centered, large-scale brain biomedical research has become possible using emerging high-throughput analysis tools. Neuroimaging, multiomics, and artificial intelligence technology are the main drivers of this new approach, foreshadowing dramatic advances in translational research. In addition, emerging interdisciplinary cooperative studies provide insights into how unresolved questions in biomedicine can be addressed. This review presents the in-depth aspects of conventional biomedical research and discusses the future of biomedical research on the brain. KCI Citation Count: 3 Biomedical research on the brain has led to many discoveries and developments, such as understanding human consciousness and the mind and overcoming brain diseases. However, historical biomedical research on the brain has unique characteristics that differ from those of conventional biomedical research. For example, there are different scientific interpretations due to the high complexity of the brain and insufficient intercommunication between researchers of different disciplines owing to the limited conceptual and technical overlap of distinct backgrounds. Therefore, the development of biomedical research on the brain has been slower than that in other areas. Brain biomedical research has recently undergone a paradigm shift, and conducting patient-centered, large-scale brain biomedical research has become possible using emerging high-throughput analysis tools. Neuroimaging, multiomics, and artificial intelligence technology are the main drivers of this new approach, foreshadowing dramatic advances in translational research. In addition, emerging interdisciplinary cooperative studies provide insights into how unresolved questions in biomedicine can be addressed. This review presents the in-depth aspects of conventional biomedical research and discusses the future of biomedical research on the brain. Biomedical research, which is the study of health and disease, has greatly improved our ability to manage diseases and has advanced global healthcare. However, understanding the causes of most brain disorders is still a challenge due to the limitations of traditional research methods. This study introduces a new translational research method that combines high-throughput analysis tools—which are techniques that can analyze a large amount of data quickly - like neuroimaging, multi-omics, and artificial intelligence (AI). The study suggests that combining neuroimaging, multi-omics, and AI can offer valuable insights, such as new disease markers, subtypes, and treatments. The authors believe this new method could overcome the limitations of traditional methods, leading to a better understanding of brain disorders and the development of new diagnostic tools and treatments. This summary was initially drafted using artificial intelligence, then revised and fact-checked by the author. Biomedical research on the brain has led to many discoveries and developments, such as understanding human consciousness and the mind and overcoming brain diseases. However, historical biomedical research on the brain has unique characteristics that differ from those of conventional biomedical research. For example, there are different scientific interpretations due to the high complexity of the brain and insufficient intercommunication between researchers of different disciplines owing to the limited conceptual and technical overlap of distinct backgrounds. Therefore, the development of biomedical research on the brain has been slower than that in other areas. Brain biomedical research has recently undergone a paradigm shift, and conducting patient-centered, large-scale brain biomedical research has become possible using emerging high-throughput analysis tools. Neuroimaging, multiomics, and artificial intelligence technology are the main drivers of this new approach, foreshadowing dramatic advances in translational research. In addition, emerging interdisciplinary cooperative studies provide insights into how unresolved questions in biomedicine can be addressed. This review presents the in-depth aspects of conventional biomedical research and discusses the future of biomedical research on the brain. Biomedical research on the brain has led to many discoveries and developments, such as understanding human consciousness and the mind and overcoming brain diseases. However, historical biomedical research on the brain has unique characteristics that differ from those of conventional biomedical research. For example, there are different scientific interpretations due to the high complexity of the brain and insufficient intercommunication between researchers of different disciplines owing to the limited conceptual and technical overlap of distinct backgrounds. Therefore, the development of biomedical research on the brain has been slower than that in other areas. Brain biomedical research has recently undergone a paradigm shift, and conducting patient-centered, large-scale brain biomedical research has become possible using emerging high-throughput analysis tools. Neuroimaging, multiomics, and artificial intelligence technology are the main drivers of this new approach, foreshadowing dramatic advances in translational research. In addition, emerging interdisciplinary cooperative studies provide insights into how unresolved questions in biomedicine can be addressed. This review presents the in-depth aspects of conventional biomedical research and discusses the future of biomedical research on the brain.Biomedical research on the brain has led to many discoveries and developments, such as understanding human consciousness and the mind and overcoming brain diseases. However, historical biomedical research on the brain has unique characteristics that differ from those of conventional biomedical research. For example, there are different scientific interpretations due to the high complexity of the brain and insufficient intercommunication between researchers of different disciplines owing to the limited conceptual and technical overlap of distinct backgrounds. Therefore, the development of biomedical research on the brain has been slower than that in other areas. Brain biomedical research has recently undergone a paradigm shift, and conducting patient-centered, large-scale brain biomedical research has become possible using emerging high-throughput analysis tools. Neuroimaging, multiomics, and artificial intelligence technology are the main drivers of this new approach, foreshadowing dramatic advances in translational research. In addition, emerging interdisciplinary cooperative studies provide insights into how unresolved questions in biomedicine can be addressed. This review presents the in-depth aspects of conventional biomedical research and discusses the future of biomedical research on the brain. Abstract Biomedical research on the brain has led to many discoveries and developments, such as understanding human consciousness and the mind and overcoming brain diseases. However, historical biomedical research on the brain has unique characteristics that differ from those of conventional biomedical research. For example, there are different scientific interpretations due to the high complexity of the brain and insufficient intercommunication between researchers of different disciplines owing to the limited conceptual and technical overlap of distinct backgrounds. Therefore, the development of biomedical research on the brain has been slower than that in other areas. Brain biomedical research has recently undergone a paradigm shift, and conducting patient-centered, large-scale brain biomedical research has become possible using emerging high-throughput analysis tools. Neuroimaging, multiomics, and artificial intelligence technology are the main drivers of this new approach, foreshadowing dramatic advances in translational research. In addition, emerging interdisciplinary cooperative studies provide insights into how unresolved questions in biomedicine can be addressed. This review presents the in-depth aspects of conventional biomedical research and discusses the future of biomedical research on the brain. Biomedical research on the brain has led to many discoveries and developments, such as understanding human consciousness and the mind and overcoming brain diseases. However, historical biomedical research on the brain has unique characteristics that differ from those of conventional biomedical research. For example, there are different scientific interpretations due to the high complexity of the brain and insufficient intercommunication between researchers of different disciplines owing to the limited conceptual and technical overlap of distinct backgrounds. Therefore, the development of biomedical research on the brain has been slower than that in other areas. Brain biomedical research has recently undergone a paradigm shift, and conducting patient-centered, large-scale brain biomedical research has become possible using emerging high-throughput analysis tools. Neuroimaging, multiomics, and artificial intelligence technology are the main drivers of this new approach, foreshadowing dramatic advances in translational research. In addition, emerging interdisciplinary cooperative studies provide insights into how unresolved questions in biomedicine can be addressed. This review presents the in-depth aspects of conventional biomedical research and discusses the future of biomedical research on the brain.Unlocking brain mysteries: high-throughput tools transform brain biomedical researchBiomedical research, which is the study of health and disease, has greatly improved our ability to manage diseases and has advanced global healthcare. However, understanding the causes of most brain disorders is still a challenge due to the limitations of traditional research methods. This study introduces a new translational research method that combines high-throughput analysis tools—which are techniques that can analyze a large amount of data quickly - like neuroimaging, multi-omics, and artificial intelligence (AI). The study suggests that combining neuroimaging, multi-omics, and AI can offer valuable insights, such as new disease markers, subtypes, and treatments. The authors believe this new method could overcome the limitations of traditional methods, leading to a better understanding of brain disorders and the development of new diagnostic tools and treatments.This summary was initially drafted using artificial intelligence, then revised and fact-checked by the author. Biomedical research on the brain has led to many discoveries and developments, such as understanding human consciousness and the mind and overcoming brain diseases. However, historical biomedical research on the brain has unique characteristics that differ from those of conventional biomedical research. For example, there are different scientific interpretations due to the high complexity of the brain and insufficient intercommunication between researchers of different disciplines owing to the limited conceptual and technical overlap of distinct backgrounds. Therefore, the development of biomedical research on the brain has been slower than that in other areas. Brain biomedical research has recently undergone a paradigm shift, and conducting patient-centered, large-scale brain biomedical research has become possible using emerging high-throughput analysis tools. Neuroimaging, multiomics, and artificial intelligence technology are the main drivers of this new approach, foreshadowing dramatic advances in translational research. In addition, emerging interdisciplinary cooperative studies provide insights into how unresolved questions in biomedicine can be addressed. This review presents the in-depth aspects of conventional biomedical research and discusses the future of biomedical research on the brain. Unlocking brain mysteries: high-throughput tools transform brain biomedical research Biomedical research, which is the study of health and disease, has greatly improved our ability to manage diseases and has advanced global healthcare. However, understanding the causes of most brain disorders is still a challenge due to the limitations of traditional research methods. This study introduces a new translational research method that combines high-throughput analysis tools—which are techniques that can analyze a large amount of data quickly - like neuroimaging, multi-omics, and artificial intelligence (AI). The study suggests that combining neuroimaging, multi-omics, and AI can offer valuable insights, such as new disease markers, subtypes, and treatments. The authors believe this new method could overcome the limitations of traditional methods, leading to a better understanding of brain disorders and the development of new diagnostic tools and treatments. This summary was initially drafted using artificial intelligence, then revised and fact-checked by the author. |
| Author | Lee, Seulah Chae, Sehyun Cazenave-Gassiot, Amaury Yoon, Jong Hyuk Lee, Chany Cho, Eunji Kim, Kipom Suh, Pann-Ghill Dennis, Edward A. Lee, Dongha |
| Author_xml | – sequence: 1 givenname: Jong Hyuk orcidid: 0000-0002-4090-3832 surname: Yoon fullname: Yoon, Jong Hyuk email: jhyoon@kbri.re.kr organization: Neurodegenerative Diseases Research Group, Korea Brain Research Institute – sequence: 2 givenname: Dongha surname: Lee fullname: Lee, Dongha organization: Cognitive Science Research Group, Korea Brain Research Institute – sequence: 3 givenname: Chany surname: Lee fullname: Lee, Chany organization: Cognitive Science Research Group, Korea Brain Research Institute – sequence: 4 givenname: Eunji orcidid: 0000-0002-9589-3643 surname: Cho fullname: Cho, Eunji organization: Neurodegenerative Diseases Research Group, Korea Brain Research Institute – sequence: 5 givenname: Seulah surname: Lee fullname: Lee, Seulah organization: Neurodegenerative Diseases Research Group, Korea Brain Research Institute – sequence: 6 givenname: Amaury orcidid: 0000-0002-3050-634X surname: Cazenave-Gassiot fullname: Cazenave-Gassiot, Amaury organization: Department of Biochemistry and Precision Medicine Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore Lipidomics Incubator (SLING), Life Sciences Institute, National University of Singapore – sequence: 7 givenname: Kipom surname: Kim fullname: Kim, Kipom organization: Research Strategy Office, Korea Brain Research Institute – sequence: 8 givenname: Sehyun surname: Chae fullname: Chae, Sehyun organization: Neurovascular Unit Research Group, Korean Brain Research Institute – sequence: 9 givenname: Edward A. orcidid: 0000-0003-3738-3140 surname: Dennis fullname: Dennis, Edward A. organization: Department of Pharmacology and Department of Chemistry and Biochemistry, University of California, San Diego – sequence: 10 givenname: Pann-Ghill surname: Suh fullname: Suh, Pann-Ghill organization: Korea Brain Research Institute |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38689090$$D View this record in MEDLINE/PubMed https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART003086383$$DAccess content in National Research Foundation of Korea (NRF) |
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| CitedBy_id | crossref_primary_10_1080_09544828_2024_2380621 |
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| Title | Paradigm shift required for translational research on the brain |
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