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 …

MMP11 expression in intratumoral inflammatory cells in breast cancer

N Eiro, S Cid, B Fernández, M Fraile, A Cernea… - …, 2019 - Wiley Online Library
Aims It is known that matrix metalloproteinase (MMP)‐11 has a role in tumour development
and progression, and also that immune cells can influence cancer cells to increase their …

Secure iou in adversarial environments: User authentication and performance optimization

W Wu, D Lin, S Hu, G Yang - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
The emerging UAV network suffers from severe security risks from attackers. If the attackers
sneak into an Internet of UAV (IoU) network, they would occupy the scarce resources which …

Sampling defective pathways in phenotype prediction problems via the Holdout sampler

JL Fernández-Martínez, A Cernea… - … : 6th International Work …, 2018 - Springer
In this paper, we introduce the holdout sampler to find the defective pathways in high
underdetermined phenotype prediction problems. This sampling algorithm is inspired by the …

Analysis of transcriptomic responses to SARS-CoV-2 reveals plausible defective pathways responsible for increased susceptibility to infection and complications and …

EJ deAndres-Galiana, JL Fernández-Martínez… - Computers in Biology …, 2022 - Elsevier
Background To understand the transcriptomic response to SARS-CoV-2 infection, is of the
utmost importance to design diagnostic tools predicting the severity of the infection. Methods …

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 …

Prognostic networks for unraveling the biological mechanisms of Sarcopenia

A Cernea, JL Fernández-Martínez… - Mechanisms of Ageing …, 2019 - Elsevier
Sarcopenia is an age-related multifactorial process that involved several biological
mechanisms, whose specific contribution and interplay is still unknown. The present study …

Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer

A Cernea, JL Fernández-Martínez… - BMC …, 2020 - Springer
Background Phenotype prediction problems are usually considered ill-posed, as the amount
of samples is very limited with respect to the scrutinized genetic probes. This fact …

Robust sampling of defective pathways in multiple myeloma

JL Fernández-Martínez, EJ de Andrés-Galiana… - International journal of …, 2019 - mdpi.com
We present the analysis of defective pathways in multiple myeloma (MM) using two recently
developed sampling algorithms of the biological pathways: The Fisher's ratio sampler, and …