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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1972 2
1974 1
1975 1
1976 4
1977 3
1978 6
1979 3
1980 6
1982 1
1983 2
1984 3
1985 2
1986 6
1987 8
1988 5
1989 17
1990 9
1991 12
1992 10
1993 16
1994 18
1995 19
1996 21
1997 22
1998 29
1999 21
2000 26
2001 30
2002 22
2003 42
2004 32
2005 49
2006 59
2007 43
2008 64
2009 65
2010 91
2011 98
2012 111
2013 100
2014 108
2015 121
2016 108
2017 134
2018 170
2019 187
2020 216
2021 309
2022 332
2023 307
2024 114

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2,902 results

Results by year

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Page 1
Automatic Generation of SBML Kinetic Models from Natural Language Texts Using GPT.
Maeda K, Kurata H. Maeda K, et al. Int J Mol Sci. 2023 Apr 14;24(8):7296. doi: 10.3390/ijms24087296. Int J Mol Sci. 2023. PMID: 37108453 Free PMC article.
Kinetic modeling is an essential tool in systems biology research, enabling the quantitative analysis of biological systems and predicting their behavior. ...In this article, we propose a novel approach called KinModGPT, which generates kinetic models …
Kinetic modeling is an essential tool in systems biology research, enabling the quantitative analysis of biological systems …
Automatic Medical Report Generation Based on Cross-View Attention and Visual-Semantic Long Short Term Memorys.
Gu Y, Li R, Wang X, Zhou Z. Gu Y, et al. Bioengineering (Basel). 2023 Aug 16;10(8):966. doi: 10.3390/bioengineering10080966. Bioengineering (Basel). 2023. PMID: 37627851 Free PMC article.
Automatic medical report generation based on deep learning can improve the efficiency of diagnosis and reduce costs. Although several automatic report generation algorithms have been proposed, there are still two main challenges in generating mo …
Automatic medical report generation based on deep learning can improve the efficiency of diagnosis and reduce costs. Although …
Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan).
Barrera K, Merino A, Molina A, Rodellar J. Barrera K, et al. Comput Methods Programs Biomed. 2023 Feb;229:107314. doi: 10.1016/j.cmpb.2022.107314. Epub 2022 Dec 15. Comput Methods Programs Biomed. 2023. PMID: 36565666 Free article.
The objective of this work is to develop, train and validate SyntheticCellGAN (SCG), a new system for the automatic generation of artificial images of white blood cells, maintaining morphological characteristics very close to real cells found in practi …
The objective of this work is to develop, train and validate SyntheticCellGAN (SCG), a new system for the automatic generat …
Automatic Generation of Validated Specific Epitope Sets.
Carrasco Pro S, Sidney J, Paul S, Lindestam Arlehamn C, Weiskopf D, Peters B, Sette A. Carrasco Pro S, et al. J Immunol Res. 2015;2015:763461. doi: 10.1155/2015/763461. Epub 2015 Oct 19. J Immunol Res. 2015. PMID: 26568965 Free PMC article.
However, the ever-growing information contained in the Immune Epitope Database (IEDB) and the differences in quality and subjects studied between epitope assays make this task complicated. In this study, we develop a novel method to automatically select reference epitope s …
However, the ever-growing information contained in the Immune Epitope Database (IEDB) and the differences in quality and subjects studied be …
Study of patients' attitude to automatic interpretation of laboratory test results and its influence on follow-up rate.
Kopanitsa G. Kopanitsa G. BMC Med Inform Decis Mak. 2022 Mar 27;22(1):79. doi: 10.1186/s12911-022-01805-w. BMC Med Inform Decis Mak. 2022. PMID: 35346173 Free PMC article.
Clinical decision support systems (CDSS) can become a solution to this problem. However, little is known how patients react to the automatically generated interpretations of the test results, and how this can affect a decision to follow up. In this …
Clinical decision support systems (CDSS) can become a solution to this problem. However, little is known how patients react to the …
Automatic generation of bioinformatics tools for predicting protein-ligand binding sites.
Komiyama Y, Banno M, Ueki K, Saad G, Shimizu K. Komiyama Y, et al. Bioinformatics. 2016 Mar 15;32(6):901-7. doi: 10.1093/bioinformatics/btv593. Epub 2015 Nov 5. Bioinformatics. 2016. PMID: 26545824 Free PMC article.
MOTIVATION: Predictive tools that model protein-ligand binding on demand are needed to promote ligand research in an innovative drug-design environment. However, it takes considerable time and effort to develop predictive tools that can be applied to individual liga …
MOTIVATION: Predictive tools that model protein-ligand binding on demand are needed to promote ligand research in an innovative drug- …
Follow-Up on the Abnormal Laboratory Test Results with Automatic Interpretation.
Kopanitsa G. Kopanitsa G. Stud Health Technol Inform. 2020 Sep 4;273:240-245. doi: 10.3233/SHTI200647. Stud Health Technol Inform. 2020. PMID: 33087619
We invited patients to take part in the interviews to gain a deeper understanding of the motives to follow up or not after receiving a recommendation and explanation of the role of the automatically generated interpretation in this decision. A qualitative study of t …
We invited patients to take part in the interviews to gain a deeper understanding of the motives to follow up or not after receiving a recom …
Automatic distractor generation for multiple-choice English vocabulary questions.
Susanti Y, Tokunaga T, Nishikawa H, Obari H. Susanti Y, et al. Res Pract Technol Enhanc Learn. 2018;13(1):15. doi: 10.1186/s41039-018-0082-z. Epub 2018 Oct 1. Res Pract Technol Enhanc Learn. 2018. PMID: 30595743 Free PMC article.
The use of automated systems in second-language learning could substantially reduce the workload of human teachers and test creators. This study proposes a novel method for automatically generating distractors for multiple-choice English vocabulary que …
The use of automated systems in second-language learning could substantially reduce the workload of human teachers and test cr …
Controlling item difficulty for automatic vocabulary question generation.
Susanti Y, Tokunaga T, Nishikawa H, Obari H. Susanti Y, et al. Res Pract Technol Enhanc Learn. 2017;12(1):25. doi: 10.1186/s41039-017-0065-5. Epub 2017 Dec 19. Res Pract Technol Enhanc Learn. 2017. PMID: 30595730 Free PMC article.
The present study investigates the best factor for controlling the item difficulty of multiple-choice English vocabulary questions generated by an automatic question generation system. Three factors are considered for controlling item difficulty: (1) r …
The present study investigates the best factor for controlling the item difficulty of multiple-choice English vocabulary questions genera …
Automatic generation of functional peptides with desired bioactivity and membrane permeability using Bayesian optimization.
Fukunaga I, Matsukiyo Y, Kaitoh K, Yamanishi Y. Fukunaga I, et al. Mol Inform. 2024 Apr;43(4):e202300148. doi: 10.1002/minf.202300148. Epub 2024 Feb 19. Mol Inform. 2024. PMID: 38182544
In this study, we propose a novel computational method, PEptide generation system using Neural network Trained on Amino acid sequence data and Gaussian process-based optimizatiON (PENTAGON), to automatically generate new peptides with desired bioactivi …
In this study, we propose a novel computational method, PEptide generation system using Neural network Trained on Amino acid s …
2,902 results