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ASD Module: a software to support the personal autonomy in the daily life of children with autism spectrum disorder
(MDPI, 2015-12-04)
[Abstract] Introduction: It was observed that technology developers expressed a clear interest to design programs that meet the needs of individuals with Autism Spectrum Disorder (ASD). Several authors indicate that any ...
Applying Artificial Intelligence for Operating System Fingerprinting
(MDPI, 2021)
[Abstract] In the field of computer security, the possibility of knowing which specific version of an operating system is running behind a machine can be useful, to assist in a penetration test or monitor the devices ...
Prediction of Breast Cancer Proteins Involved in Immunotherapy, Metastasis, and RNA-Binding Using Molecular Descriptors and Artifcial Neural Networks
(Springer Nature, 2020-05-22)
[Abstract]
Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression
deregulation, signaling pathway alterations, hormone disruption, ethnicity and environmental
determinants are involved. ...
El funcionamiento en la vida diaria de los niños con trastorno del espectro del autismo: aproximación a través del uso de un cuestionario basado en la CIF(-IA)
(Asociación Española de Profesionales del Autismo, 2016-11-17)
S2SNet: a tool for transforming characters and numeric sequences into star network topological indices in chemoinformatics, bioinformatics, biomedical, and social-legal sciences
(Bentham, 2013)
[Abstract] The study of complex systems such as proteins/DNA/RNA or dynamics of tax law systems can be carried out with the complex network theory. This allows the numerical quantification of the significant information ...
Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy
(BMC, 2024-03-07)
[Absctract]: For understanding a chemical compound’s mechanism of action and its side effects, as well as for drug discovery, it is crucial to predict its possible protein targets. This study examines 15 developed ...
Molecular Docking and Machine Learning Analysis of Abemaciclib in Colon Cancer
(BioMed Central Ltd., 2020-07-08)
[Abstract]
Background -
The main challenge in cancer research is the identification of different omic variables that present a prognostic value and personalised diagnosis for each tumour. The fact that the diagnosis is ...