Machine learning as a new tool in neurological disease prevention, diagnosis, and treatment
More than 600 different neurological diseases affect the human population. Some of these are genetic and can emerge even before birth, and some are caused by defects, infections, trauma, degeneration, inflammation, and cancer. However, they all share disabilities caused by damage to the nervous syst...
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| Format: | Article |
| Language: | English |
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Open Exploration Publishing Inc.
2023-02-01
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| Series: | Exploration of Neuroprotective Therapy |
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| Online Access: | https://www.explorationpub.com/Journals/ent/Article/100434 |
| _version_ | 1811161977434669056 |
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| author | Cinzia Volonté |
| author_facet | Cinzia Volonté |
| author_sort | Cinzia Volonté |
| collection | DOAJ |
| description | More than 600 different neurological diseases affect the human population. Some of these are genetic and can emerge even before birth, and some are caused by defects, infections, trauma, degeneration, inflammation, and cancer. However, they all share disabilities caused by damage to the nervous system. In the last decades, the burden of almost all neurological disorders has increased in terms of absolute incidence, prevalence, and mortality, largely due to the population’s growth and aging. This represents a dangerous trend and should become our priority for the future. But what new goals are we going to set and reach now, and how will we exploit thought-provoking technological skills for making these goals feasible? Machine learning can be at the root of the problem. Indeed, most recently, there has been a push towards medical data analysis by machine learning, and a great improvement in the training capabilities particularly of artificial deep neural networks (DNNs) inspired by the biological neural networks characterizing the human brain. This has generated competitive results for applications such as biomolecular target and protein structure prediction, structure-based rational drug design, and repurposing, all exerting a major impact on neuroscience and human well-being. By approaching early risks for diseases, non-invasive diagnosis, personalized treatment assessment, drug discovery, and automated science, the machine learning arena has thus the potential of becoming the new frontier for empowering neuroscience research and clinical practice in the years ahead. |
| first_indexed | 2024-04-10T06:22:37Z |
| format | Article |
| id | doaj.art-42b287c48efb4314ba88438d8b5a98bf |
| institution | Directory Open Access Journal |
| issn | 2769-6510 |
| language | English |
| last_indexed | 2024-04-10T06:22:37Z |
| publishDate | 2023-02-01 |
| publisher | Open Exploration Publishing Inc. |
| record_format | Article |
| series | Exploration of Neuroprotective Therapy |
| spelling | doaj.art-42b287c48efb4314ba88438d8b5a98bf2023-03-02T02:31:50ZengOpen Exploration Publishing Inc.Exploration of Neuroprotective Therapy2769-65102023-02-01311710.37349/ent.2023.00034Machine learning as a new tool in neurological disease prevention, diagnosis, and treatmentCinzia Volonté0https://orcid.org/0000-0001-7362-8307National Research Council-Institute for Systems Analysis and Computer Science “Antonio Ruberti”, Via dei Taurini 19, 00185 Rome, Italy; IRCCS Fondazione Santa Lucia, Via Del Fosso di Fiorano 65, 00143 Rome, ItalyMore than 600 different neurological diseases affect the human population. Some of these are genetic and can emerge even before birth, and some are caused by defects, infections, trauma, degeneration, inflammation, and cancer. However, they all share disabilities caused by damage to the nervous system. In the last decades, the burden of almost all neurological disorders has increased in terms of absolute incidence, prevalence, and mortality, largely due to the population’s growth and aging. This represents a dangerous trend and should become our priority for the future. But what new goals are we going to set and reach now, and how will we exploit thought-provoking technological skills for making these goals feasible? Machine learning can be at the root of the problem. Indeed, most recently, there has been a push towards medical data analysis by machine learning, and a great improvement in the training capabilities particularly of artificial deep neural networks (DNNs) inspired by the biological neural networks characterizing the human brain. This has generated competitive results for applications such as biomolecular target and protein structure prediction, structure-based rational drug design, and repurposing, all exerting a major impact on neuroscience and human well-being. By approaching early risks for diseases, non-invasive diagnosis, personalized treatment assessment, drug discovery, and automated science, the machine learning arena has thus the potential of becoming the new frontier for empowering neuroscience research and clinical practice in the years ahead.https://www.explorationpub.com/Journals/ent/Article/100434machine learningneural networksneurological diseases |
| spellingShingle | Cinzia Volonté Machine learning as a new tool in neurological disease prevention, diagnosis, and treatment Exploration of Neuroprotective Therapy machine learning neural networks neurological diseases |
| title | Machine learning as a new tool in neurological disease prevention, diagnosis, and treatment |
| title_full | Machine learning as a new tool in neurological disease prevention, diagnosis, and treatment |
| title_fullStr | Machine learning as a new tool in neurological disease prevention, diagnosis, and treatment |
| title_full_unstemmed | Machine learning as a new tool in neurological disease prevention, diagnosis, and treatment |
| title_short | Machine learning as a new tool in neurological disease prevention, diagnosis, and treatment |
| title_sort | machine learning as a new tool in neurological disease prevention diagnosis and treatment |
| topic | machine learning neural networks neurological diseases |
| url | https://www.explorationpub.com/Journals/ent/Article/100434 |
| work_keys_str_mv | AT cinziavolonte machinelearningasanewtoolinneurologicaldiseasepreventiondiagnosisandtreatment |