Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Victor Maojo"'
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10778 (2023)
Due to the success of artificial intelligence (AI) applications in the medical field over the past decade, concerns about the explainability of these systems have increased. The reliability requirements of black-box algorithms for making decisions af
Externí odkaz:
https://doaj.org/article/bdf482f6b7484a5fbcb3e9c151da1b5a
Autor:
Paula Carracedo-Reboredo, Jose Liñares-Blanco, Nereida Rodríguez-Fernández, Francisco Cedrón, Francisco J. Novoa, Adrian Carballal, Victor Maojo, Alejandro Pazos, Carlos Fernandez-Lozano
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 4538-4558 (2021)
Drug discovery aims at finding new compounds with specific chemical properties for the treatment of diseases. In the last years, the approach used in this search presents an important component in computer science with the skyrocketing of machine lea
Externí odkaz:
https://doaj.org/article/17bf6fbfcf45455bab494ce85bbfe43c
Autor:
Victor Maojo, Nereida Rodriguez-Fernandez, Adrian Carballal, Carlos Fernandez-Lozano, Francisco J. Novoa, Alejandro Pazos, Paula Carracedo-Reboredo, Francisco Cedrón, Jose Liñares-Blanco
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 4538-4558 (2021)
RUC. Repositorio da Universidade da Coruña
instname
Computational and Structural Biotechnology Journal
RUC. Repositorio da Universidade da Coruña
instname
Computational and Structural Biotechnology Journal
Graphical abstract
Highlights • Machine Learning in drug discovery has greatly benefited the pharmaceutical industry. • Application of machine algorithms must entail a robust design in real clinical tasks. • Trending machine learning algor
Highlights • Machine Learning in drug discovery has greatly benefited the pharmaceutical industry. • Application of machine algorithms must entail a robust design in real clinical tasks. • Trending machine learning algor
Autor:
Casimir A. Kulikowski, Victor Maojo
Publikováno v:
BMJ Health & Care Informatics
Rapid vaccine breakthroughs for the SARS-CoV-2 viral pandemic have been enabled by genomics-based designs and biomedical informatics-driven experimentation relying on many algorithmic and artificial intelligence (AI) methods. Great hopes expressed ab
Publikováno v:
RUC. Repositorio da Universidade da Coruña
instname
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
JMIR Medical Informatics
instname
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
JMIR Medical Informatics
Background Currently, existing biomedical literature repositories do not commonly provide users with specific means to locate and remotely access biomedical databases. Objective To address this issue, we developed the Biomedical Database Inventory (B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0db93d6313bc6325d7fcdee6936ba54b
http://hdl.handle.net/2183/27757
http://hdl.handle.net/2183/27757
BACKGROUND Currently, existing biomedical literature repositories do not commonly provide users with specific means to locate and remotely access biomedical databases. OBJECTIVE To address this issue, we developed the Biomedical Database Inventory (B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6b2e5be519bdd29b05caf7e7f2fb699
https://doi.org/10.2196/preprints.22976
https://doi.org/10.2196/preprints.22976
Publikováno v:
Computer methods and programs in biomedicine. 202
Background and objective: Nanoparticles present properties that can be applied to a wide range of fields such as biomedicine, electronics or optics. The type of properties depends on several characteristics, being some of them related with the partic
Autor:
Carlos Fernandez-Lozano, Victor Maojo, Cristian R. Munteanu, Marcos Gestal, Alejandro Pazos, Adrian Carballal
Biomedical informatics has skyrocketed in the last years by reducing sequencing costs with next-generation sequencing techniques. Thus, the amount of available data to study is increasing excessively, and more recently, is even open access for resear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c472ad949f44d3274072d8ecbc407910
https://doi.org/10.1016/b978-0-12-801238-3.10876-1
https://doi.org/10.1016/b978-0-12-801238-3.10876-1
Autor:
Alejandro Pazos, Casimir A. Kulikowski, Cristian R. Munteanu, David Pérez-Rey, Raul Alonso-Calvo, Victor Maojo, Sergio Paraiso-Medina
This article reviews some recent achievements reported in the area of Translational Bioinformatics (TBI), which has evolved rapidly as result of the Human Genome Project and subsequent -omic projects. Our goal is to support the understanding and enha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05f4c65adb4acda2898df79112e3c41b
https://doi.org/10.1016/b978-0-12-801238-3.10879-7
https://doi.org/10.1016/b978-0-12-801238-3.10879-7
Publikováno v:
Journal of Biomedical Informatics. 60:177-186
Display Omitted A method for enriching private sources with data from public databases is proposed.Related public data is automatically identified and linked to existing private database records.We tested our approach by linking a private Wilm's tumo