Projects per year
Organization profile
Organization profile
The seedbed of artificial intelligence in health seeks to generate spaces for discussion, where from the problems that can be found in the areas of medicine and health sciences, and possible solutions from the engineering area can be merged to find viable solutions. At the same time, through the seedbed seeks to inform students and professionals in the area of artificial intelligence that is increasingly used in different fields, being considered transversal for many sciences.
Research Lines:
Mainly, but not limited to:
- Analysis of physiological phenomena through the use of biosignal processing.
- Motion analysis from pose models.
- Bioinformatics and Artificial Intelligence (in conjunction with SyNERGIA).
- Health Data Science.
- Diagnostic Support Systems.
- Machine and Deep Learning.
- Natural Language Processing.
Objectives:
- To encourage the study of existing techniques in artificial intelligence with the purpose of applying them in the solution of problems in the field of health.
- Establish solutions in the area of medicine and health sciences through different paradigms of artificial intelligence.
- To generate new alternatives for the creation of artificial intelligence models based on bio-inspired systems.
- To establish spaces for meeting different disciplines for joint interdisciplinary work in solution to health problems.
Organization profile
The seedbed of artificial intelligence in health seeks to generate spaces for discussion, where from the problems that can be found in the areas of medicine and health sciences, and possible solutions from the engineering area can be merged to find viable solutions. At the same time, through the seedbed seeks to inform students and professionals in the area of artificial intelligence that is increasingly used in different fields, being considered transversal for many sciences.
Research Lines:
Mainly, but not limited to:
- Analysis of physiological phenomena through the use of biosignal processing.
- Motion analysis from pose models.
- Bioinformatics and Artificial Intelligence (in conjunction with SyNERGIA).
- Health Data Science.
- Diagnostic Support Systems.
- Machine and Deep Learning.
- Natural Language Processing.
Objectives:
- To encourage the study of existing techniques in artificial intelligence with the purpose of applying them in the solution of problems in the field of health.
- Establish solutions in the area of medicine and health sciences through different paradigms of artificial intelligence.
- To generate new alternatives for the creation of artificial intelligence models based on bio-inspired systems.
- To establish spaces for meeting different disciplines for joint interdisciplinary work in solution to health problems.
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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Environment and Health
Barragan Gonzalez, A. M., Buitrago Medina, D. A., Londoño Tobón, L. F., Moya Ortiz, C. A., Rojas Reyes, C., Ospina Espinosa, M., Noriega Ramírez, S., Hernandez Duarte, I., De Brigard Cabal, S., Guerrero Leon, S. J., Orjuela Cañón, A. D. & Perdomo Charry, O. J.
5/4/20 → 11/30/21
Project: Research Project
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Molecular Compounds Proposal for Drug-Resistant Tuberculosis in the Drug Discovery Process
Campos, M. R., Rodriguez, D. C. & Orjuela-Canon, A. D., 2023, 2023 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI). Orjuela-Canon, A. D. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 1-5 5 p. (2023 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023 - Proceedings).Research output: Chapter in Book/Report › Conference contribution
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Natural Language Processing Approach for Learning Process Analysis in a Bioinformatics Course
Romero-Gomez, A. F. & Orjuela-Canon, A. D., 2022, 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022. Lozada, M. C. & Mendoza, P. S. (eds.). Institute of Electrical and Electronics Engineers Inc., (2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022).Research output: Chapter in Book/Report › Conference contribution
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A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement
Pérez, A. D., Perdomo, O., Rios, H., Rodríguez, F. & González, F. A., Nov 20 2020, Ophthalmic Medical Image Analysis - 7th International Workshop, OMIA 2020, Held in Conjunction with MICCAI 2020, Proceedings. Fu, H., Garvin, M. K., MacGillivray, T., Xu, Y. & Zheng, Y. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 12069. p. 185-194 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12069 LNCS).Research output: Chapter in Book/Report › Chapter (peer-reviewed) › peer-review
10 Scopus citations