Artificial Intelligence and Experimental Medical Research
Experimental medical research is under development and transformation due to convergence with various and extensive data resources. Meaningful research focused on one subject is a challenging task and is a time-consuming activity. Extensive new data resources can bring the researchers facing the pos...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca
2021-09-01
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| Series: | Applied Medical Informatics |
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| Online Access: | https://ami.info.umfcluj.ro/index.php/AMI/article/view/847 |
| _version_ | 1818939448406048768 |
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| author | Adriana Elena BULBOACĂ Sorana D. BOLBOACĂ |
| author_facet | Adriana Elena BULBOACĂ Sorana D. BOLBOACĂ |
| author_sort | Adriana Elena BULBOACĂ |
| collection | DOAJ |
| description | Experimental medical research is under development and transformation due to convergence with various and extensive data resources. Meaningful research focused on one subject is a challenging task and is a time-consuming activity. Extensive new data resources can bring the researchers facing the possibility of missing important research in their field. Papers describing digital algorithms can cover one topic better than basic medical research, bringing the subject more precise and more efficient for building a new research concept. Analysis and learning from available data can be more efficient if they are focusing on paper with an already established exploration or diagnosis algorithm. New biotechnologies can be more rapidly translated to clinical research, and new pharmacological products can be tested and used in clinical trials for patient’s benefit. Data resource analysis strategies and the focus of the main papers on the targeting topic can bring new perspectives in experimental medical research. The strategies for finding and focusing on appropriate available data to start new experimental medical research will be described and presented. |
| first_indexed | 2024-12-20T06:23:55Z |
| format | Article |
| id | doaj.art-4d164ce09cda4d36a593bf1a41d25149 |
| institution | Directory Open Access Journal |
| issn | 2067-7855 |
| language | English |
| last_indexed | 2024-12-20T06:23:55Z |
| publishDate | 2021-09-01 |
| publisher | Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca |
| record_format | Article |
| series | Applied Medical Informatics |
| spelling | doaj.art-4d164ce09cda4d36a593bf1a41d251492022-12-21T19:50:21ZengIuliu Hatieganu University of Medicine and Pharmacy, Cluj-NapocaApplied Medical Informatics2067-78552021-09-0143Suppl. S11414847Artificial Intelligence and Experimental Medical ResearchAdriana Elena BULBOACĂ0Sorana D. BOLBOACĂ1Iuliu Hatieganu University of Medicine and Pharmacy Cluj-NapocaDepartment of Medical Informatics and Biostatistics, Iuliu Haţieganu University of Medicine and Pharmacy, Louis Pasteur Str., No. 6, 400349 Cluj-Napoca, RomaniaExperimental medical research is under development and transformation due to convergence with various and extensive data resources. Meaningful research focused on one subject is a challenging task and is a time-consuming activity. Extensive new data resources can bring the researchers facing the possibility of missing important research in their field. Papers describing digital algorithms can cover one topic better than basic medical research, bringing the subject more precise and more efficient for building a new research concept. Analysis and learning from available data can be more efficient if they are focusing on paper with an already established exploration or diagnosis algorithm. New biotechnologies can be more rapidly translated to clinical research, and new pharmacological products can be tested and used in clinical trials for patient’s benefit. Data resource analysis strategies and the focus of the main papers on the targeting topic can bring new perspectives in experimental medical research. The strategies for finding and focusing on appropriate available data to start new experimental medical research will be described and presented.https://ami.info.umfcluj.ro/index.php/AMI/article/view/847experimental medicineanimal experimental modelshuman experimental modelstranslational medicine |
| spellingShingle | Adriana Elena BULBOACĂ Sorana D. BOLBOACĂ Artificial Intelligence and Experimental Medical Research Applied Medical Informatics experimental medicine animal experimental models human experimental models translational medicine |
| title | Artificial Intelligence and Experimental Medical Research |
| title_full | Artificial Intelligence and Experimental Medical Research |
| title_fullStr | Artificial Intelligence and Experimental Medical Research |
| title_full_unstemmed | Artificial Intelligence and Experimental Medical Research |
| title_short | Artificial Intelligence and Experimental Medical Research |
| title_sort | artificial intelligence and experimental medical research |
| topic | experimental medicine animal experimental models human experimental models translational medicine |
| url | https://ami.info.umfcluj.ro/index.php/AMI/article/view/847 |
| work_keys_str_mv | AT adrianaelenabulboaca artificialintelligenceandexperimentalmedicalresearch AT soranadbolboaca artificialintelligenceandexperimentalmedicalresearch |