Using artificial intelligence methods to speed up drug discovery

Ó Álvarez-Machancoses… - Expert opinion on drug …, 2019 - Taylor & Francis
Introduction: Drug discovery is the process through which potential new compounds are
identified by means of biology, chemistry, and pharmacology. Due to the high complexity of …

On the role of artificial intelligence in genomics to enhance precision medicine

Ó Álvarez-Machancoses… - Pharmacogenomics …, 2020 - Taylor & Francis
The complexity of orphan diseases, which are those that do not have an effective treatment,
together with the high dimensionality of the genetic data used for their analysis and the high …

Robust sampling of defective pathways in Alzheimer's disease. Implications in drug repositioning

JL Fernández-Martínez… - International journal of …, 2020 - mdpi.com
We present the analysis of the defective genetic pathways of the Late-Onset Alzheimer's
Disease (LOAD) compared to the Mild Cognitive Impairment (MCI) and Healthy Controls …

Addressing Noise and Estimating Uncertainty in Biomedical Data through the Exploration of Chemical Space

EJ deAndrés-Galiana, JL Fernández-Martínez… - International journal of …, 2022 - mdpi.com
Noise is a basic ingredient in data, since observed data are always contaminated by
unwanted deviations, ie, noise, which, in the case of overdetermined systems (with more …

The utilization of different classifiers to perform drug repositioning in inclusion body myositis supports the concept of biological invariance

Ó Álvarez-Machancoses, E deAndrés-Galiana… - … Conference on Artificial …, 2020 - Springer
In this research work, we introduce several novel methods to identify the defective pathways
in highly uncertain phenotype prediction problems. More specifically, we applied these …