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Jose L Ayala

Full Professor

Universidad Complutense de Madrid

Spain

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Research Interests

Neurology

30%

Neuropsychology

40%

Neurodegenerative Disease

30%

Cognitive Impairment

30%

Chronic Fatigue

20%

Computer-aided Diagnosis

20%

Neuroinformatics

20%

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Articles20

Graph-Based Immune Checkpoint Inhibitor Response Prediction Model for Metastatic Renal Cell Carcinoma Patients

Article Link

Year:

2025

Cardiovascular disease in women with early-onset preeclampsia: a matched case-control study

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Year:

2025

Comprehensive Approach with Machine Learning Techniques to Investigate Early-Onset Preeclampsia and Its Long-Term Cardiovascular Implications

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Year:

2025

Early stroke detection through machine learning in the prehospital setting

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Year:

2025

Predictive modeling of complications arising from early-onset preeclampsia in pregnant women

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Year:

2025

Autoencoder techniques for survival analysis on renal cell carcinoma

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Year:

2025

Women's health: an imAging-based cardiovascular risK-rEdUction Program (WAKE UP) study. Rationale and design

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Year:

2025

Effects of single-session repetitive transcranial magnetic stimulation to identify the optimal brain target in primary progressive aphasia

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Year:

2025

Data-driven prediction of regional brain metabolism using neuropsychological assessment in Alzheimer's disease and behavioral variant Frontotemporal dementia

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Year:

2025

Unraveling brain fog in <scp>post‐COVID</scp> syndrome: Relationship between subjective cognitive complaints and cognitive function, fatigue, and neuropsychiatric symptoms

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Year:

2025

Development of criteria for cognitive dysfunction in post-COVID syndrome: the IC-CoDi-COVID approach

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Year:

2023

Neuropsychological Predictors of Fatigue in Post-COVID Syndrome

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Year:

2022

Body Complexion and Circulating Lipids in the Risk of TDP-43 Related Disorders

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Year:

2022

Cluster-Then-Classify Methodology for the Identification of Pain Episodes in Chronic Diseases

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Year:

2022

Diagnosis of Alzheimer's disease and behavioural variant frontotemporal dementia with machine learning-aided neuropsychological assessment using feature engineering and genetic algorithms

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Year:

2022

Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios

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Year:

2022

Energy-aware task scheduling in data centers using an application signature

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Year:

2022

Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging

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Year:

2022

Application of Machine Learning to Electroencephalography for the Diagnosis of Primary Progressive Aphasia: A Pilot Study

Article Link

Year:

2021

Fast energy estimation framework for long-running applications

Article Link

Year:

2021

Collaborators7

María Díez-Cirarda

Universidad Complutense de Madrid

SPAIN

Cristina Rodriguez-Antona

Investigador Científico/ Head

Instituto de Investigaciones Biomédicas Alberto Sols

SPAIN

María González-Nosti

Profesor Contratado Doctor

University of Oviedo

SPAIN

Jordi A. Matias-Guiu

Universidad Complutense de Madrid

SPAIN

José Manuel Moya Fernández

Universidad Politécnica de Madrid

SPAIN

José Luis Risco Martín

Professor

Universidad Complutense de Madrid

SPAIN

Josue Pagan

Universidad Politécnica de Madrid

SPAIN

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