Intelligent Insulin vs. Artificial Intelligence for Type 1 Diabetes: Will the Real Winner Please Stand Up?
Research in the treatment of type 1 diabetes has been addressed into two main areas: the development of “intelligent insulins” capable of auto-regulating their own levels according to glucose concentrations, or the exploitation of artificial intelligence (AI) and its learning capacity, to provide de...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | International Journal of Molecular Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1422-0067/24/17/13139 |
| _version_ | 1797582482342674432 |
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| author | Valentina Maria Cambuli Marco Giorgio Baroni |
| author_facet | Valentina Maria Cambuli Marco Giorgio Baroni |
| author_sort | Valentina Maria Cambuli |
| collection | DOAJ |
| description | Research in the treatment of type 1 diabetes has been addressed into two main areas: the development of “intelligent insulins” capable of auto-regulating their own levels according to glucose concentrations, or the exploitation of artificial intelligence (AI) and its learning capacity, to provide decision support systems to improve automated insulin therapy. This review aims to provide a synthetic overview of the current state of these two research areas, providing an outline of the latest development in the search for “intelligent insulins,” and the results of new and promising advances in the use of artificial intelligence to regulate automated insulin infusion and glucose control. The future of insulin treatment in type 1 diabetes appears promising with AI, with research nearly reaching the possibility of finally having a “closed-loop” artificial pancreas. |
| first_indexed | 2024-03-10T23:22:58Z |
| format | Article |
| id | doaj.art-d4efa1c6aa5d4d719510206d4b5a1413 |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-10T23:22:58Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-d4efa1c6aa5d4d719510206d4b5a14132023-11-19T08:13:01ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-08-0124171313910.3390/ijms241713139Intelligent Insulin vs. Artificial Intelligence for Type 1 Diabetes: Will the Real Winner Please Stand Up?Valentina Maria Cambuli0Marco Giorgio Baroni1Diabetology and Metabolic Diseaseas, San Michele Hospital, ARNAS Giuseppe Brotzu, 09121 Cagliari, ItalyDepartment of Clinical Medicine, Public Health, Life and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, ItalyResearch in the treatment of type 1 diabetes has been addressed into two main areas: the development of “intelligent insulins” capable of auto-regulating their own levels according to glucose concentrations, or the exploitation of artificial intelligence (AI) and its learning capacity, to provide decision support systems to improve automated insulin therapy. This review aims to provide a synthetic overview of the current state of these two research areas, providing an outline of the latest development in the search for “intelligent insulins,” and the results of new and promising advances in the use of artificial intelligence to regulate automated insulin infusion and glucose control. The future of insulin treatment in type 1 diabetes appears promising with AI, with research nearly reaching the possibility of finally having a “closed-loop” artificial pancreas.https://www.mdpi.com/1422-0067/24/17/13139intelligent insulinartificial intelligence (AI)glucose-responsive insulin (GRI)concanavalin A (ConA)phenylboronic acid (PBA)glucose oxidase (GOx) |
| spellingShingle | Valentina Maria Cambuli Marco Giorgio Baroni Intelligent Insulin vs. Artificial Intelligence for Type 1 Diabetes: Will the Real Winner Please Stand Up? International Journal of Molecular Sciences intelligent insulin artificial intelligence (AI) glucose-responsive insulin (GRI) concanavalin A (ConA) phenylboronic acid (PBA) glucose oxidase (GOx) |
| title | Intelligent Insulin vs. Artificial Intelligence for Type 1 Diabetes: Will the Real Winner Please Stand Up? |
| title_full | Intelligent Insulin vs. Artificial Intelligence for Type 1 Diabetes: Will the Real Winner Please Stand Up? |
| title_fullStr | Intelligent Insulin vs. Artificial Intelligence for Type 1 Diabetes: Will the Real Winner Please Stand Up? |
| title_full_unstemmed | Intelligent Insulin vs. Artificial Intelligence for Type 1 Diabetes: Will the Real Winner Please Stand Up? |
| title_short | Intelligent Insulin vs. Artificial Intelligence for Type 1 Diabetes: Will the Real Winner Please Stand Up? |
| title_sort | intelligent insulin vs artificial intelligence for type 1 diabetes will the real winner please stand up |
| topic | intelligent insulin artificial intelligence (AI) glucose-responsive insulin (GRI) concanavalin A (ConA) phenylboronic acid (PBA) glucose oxidase (GOx) |
| url | https://www.mdpi.com/1422-0067/24/17/13139 |
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