José L. Ayala
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View article: SOUP: Sleep Data Copilot for Accurate Hypnogram Labeling
SOUP: Sleep Data Copilot for Accurate Hypnogram Labeling Open
Sleep analysis is crucial for diagnosing disorders and understanding physiological patterns. However, accurately labeling hypnograms is challenging due to significant interrater variability and resource constraints that limit the use of mu…
View article: Episodic Migraine Pain Curves: Real-Time Smartphone-Based Analysis and Clinical Implications
Episodic Migraine Pain Curves: Real-Time Smartphone-Based Analysis and Clinical Implications Open
View article: Psychometric Properties of the 7-Item Sense of Competence Questionnaire: Assessing Informal Caregivers’ Self-Perceived Competence in Mild Cognitive Impairment
Psychometric Properties of the 7-Item Sense of Competence Questionnaire: Assessing Informal Caregivers’ Self-Perceived Competence in Mild Cognitive Impairment Open
The S-SCQ is a reliable tool for assessing self-perceived competence in informal caregivers of patients with MCI. Its integration into clinical and research settings may offer an opportunity to enhance the early detection of caregiver burd…
View article: Correction: Early stroke detection through machine learning in the prehospital setting
Correction: Early stroke detection through machine learning in the prehospital setting Open
[This corrects the article DOI: 10.3389/fcvm.2025.1629853.].
View article: Comprehensive Approach with Machine Learning Techniques to Investigate Early-Onset Preeclampsia and Its Long-Term Cardiovascular Implications
Comprehensive Approach with Machine Learning Techniques to Investigate Early-Onset Preeclampsia and Its Long-Term Cardiovascular Implications Open
Preeclampsia (PE), a major cause of perinatal morbidity and mortality, is frequently under-recognized as an early indicator of future cardiovascular (CV) disease. This study examines early-onset preeclampsia (eoPE) across three phases—pre-…
View article: Early stroke detection through machine learning in the prehospital setting
Early stroke detection through machine learning in the prehospital setting Open
Background Stroke is a leading cause of death and disability globally, with rising prevalence driven by modern lifestyle factors. Despite the critical nature of stroke as a time-sensitive condition requiring prompt diagnosis and interventi…
View article: Predictive modeling of complications arising from early-onset preeclampsia in pregnant women
Predictive modeling of complications arising from early-onset preeclampsia in pregnant women Open
Background: Preeclampsia, a complex and unpredictable pregnancy complication, poses significant challenges in predicting maternal outcomes, often leading to heightened anxiety among patients, families, and clinicians. This study introduces…
View article: Autoencoder techniques for survival analysis on renal cell carcinoma
Autoencoder techniques for survival analysis on renal cell carcinoma Open
Survival is the gold standard in oncology when determining the real impact of therapies in patients outcome. Thus, identifying molecular predictors of survival (like genetic alterations or transcriptomic patterns of gene expression) is one…
View article: Investigating the efficacy of an online mindfulness-based intervention in a sample of medical students with obsessive-compulsive disorder
Investigating the efficacy of an online mindfulness-based intervention in a sample of medical students with obsessive-compulsive disorder Open
Introduction Obsessive-compulsive disorder (OCD) affects 1-3% of the population and is the fourth most debilitating psychiatric disorder. OCD characterised by persistent obsessions and compulsions in the ICD-11 is more common in students, …
View article: Women's health: an imAging-based cardiovascular risK-rEdUction Program (WAKE UP) study. Rationale and design
Women's health: an imAging-based cardiovascular risK-rEdUction Program (WAKE UP) study. Rationale and design Open
Background Cardiovascular (CV) disease is the leading cause of death in women. Although 80% of CV disease events can be prevented, mortality is projected to increase, particularly in young women. Objectives To promote CV health in women an…
View article: Cardiovascular disease in women with early-onset preeclampsia: a matched case-control study
Cardiovascular disease in women with early-onset preeclampsia: a matched case-control study Open
Women with a history of early-onset preeclampsia, compared to their matched controls, showed a greater risk of cardiovascular disease mainly at the expense of a 4.7-fold risk of developing chronic hypertension, with a median follow-up of 7…
View article: Effects of single-session repetitive transcranial magnetic stimulation to identify the optimal brain target in primary progressive aphasia
Effects of single-session repetitive transcranial magnetic stimulation to identify the optimal brain target in primary progressive aphasia Open
Background Non-invasive brain stimulation has shown positive results in maximizing the effects of language therapy in primary progressive aphasia (PPA). Due to the different patterns of brain damage in each aphasia variant, we hypothesized…
View article: APLICACIÓN DE TELEDETECCIÓN EN LA ESTIMACIÓN DE RENDIMIENTOS EN CULTIVOS AGRÍCOLAS: UNA REVISIÓN BIBLIOMETRICA
APLICACIÓN DE TELEDETECCIÓN EN LA ESTIMACIÓN DE RENDIMIENTOS EN CULTIVOS AGRÍCOLAS: UNA REVISIÓN BIBLIOMETRICA Open
Background: Agriculture, as a fundamental sector of the global economy, plays a key role in the socioeconomic fabric of countries. Obtaining accurate information on crop area and production is essential for promoting more …
View article: Evaluating Satisfaction and Intention of Online Enrollment: A Case of a University in the Philippines
Evaluating Satisfaction and Intention of Online Enrollment: A Case of a University in the Philippines Open
View article: RNA sequencing-based deep learning techniques to predict response to immune checkpoint inhibitors in metastatic renal cell cancer patients
RNA sequencing-based deep learning techniques to predict response to immune checkpoint inhibitors in metastatic renal cell cancer patients Open
View article: Graph-Based Immune Checkpoint Inhibitor Response Prediction Model for Metastatic Renal Cell Carcinoma Patients
Graph-Based Immune Checkpoint Inhibitor Response Prediction Model for Metastatic Renal Cell Carcinoma Patients Open
Immune checkpoint inhibitors (ICIs) have become essential in managing metastatic Renal Cell Carcinoma (mRCC), although selecting the most suitable patients for each specific treatment remains an unmet medical need. In this work, we aimed t…
View article: Real-Time Computing Strategies for Automatic Detection of EEG Seizures in ICU
Real-Time Computing Strategies for Automatic Detection of EEG Seizures in ICU Open
Developing interfaces for seizure diagnosis, often challenging to detect visually, is rising. However, their effectiveness is constrained by the need for diverse and extensive databases. This study aimed to create a seizure detection metho…
View article: Evaluating AI Methods for Pulse Oximetry: Performance, Clinical Accuracy, and Comprehensive Bias Analysis
Evaluating AI Methods for Pulse Oximetry: Performance, Clinical Accuracy, and Comprehensive Bias Analysis Open
Blood oxygen saturation (SpO2) is vital for patient monitoring, particularly in clinical settings. Traditional SpO2 estimation methods have limitations, which can be addressed by analyzing photoplethysmography (PPG) signals with artificial…
View article: Predicting changes in brain metabolism and progression from mild cognitive impairment to dementia using multitask Deep Learning models and explainable AI
Predicting changes in brain metabolism and progression from mild cognitive impairment to dementia using multitask Deep Learning models and explainable AI Open
This study introduces a novel dimension to predictive modeling in AD, emphasizing the importance of projecting variations in brain metabolism under a multi-task learning paradigm.
View article: Author Correction: Genetic-based patient stratification in Alzheimer’s disease
Author Correction: Genetic-based patient stratification in Alzheimer’s disease Open
View article: Genetic-based patient stratification in Alzheimer’s disease
Genetic-based patient stratification in Alzheimer’s disease Open
Alzheimer's disease (AD) shows a high pathological and symptomatological heterogeneity. To study this heterogeneity, we have developed a patient stratification technique based on one of the most significant risk factors for the development…
View article: PROGNOSTIC VALUE OF AT(N) CLASSIFICATION IN CSF USING CLUSTERING ANALYSIS
PROGNOSTIC VALUE OF AT(N) CLASSIFICATION IN CSF USING CLUSTERING ANALYSIS Open
Background The biological definition of Alzheimer’s disease (AD) and the use of biomarkers according to the AT(N) system may improve the clinical characterization of patients and the sequence of events during the clinical course. However, …
View article: Unraveling brain fog in <scp>post‐COVID</scp> syndrome: Relationship between subjective cognitive complaints and cognitive function, fatigue, and neuropsychiatric symptoms
Unraveling brain fog in <span>post‐COVID</span> syndrome: Relationship between subjective cognitive complaints and cognitive function, fatigue, and neuropsychiatric symptoms Open
Background and purpose “Brain fog” is a frequent and disabling symptom that can occur after SARS‐CoV‐2 infection. However, its clinical characteristics and the relationships among brain fog and objective cognitive function, fatigue, and ne…
View article: A data‐driven approach to complement the A/T/(N) classification system using CSF biomarkers
A data‐driven approach to complement the A/T/(N) classification system using CSF biomarkers Open
Aims The AT(N) classification system not only improved the biological characterization of Alzheimer's disease (AD) but also raised challenges for its clinical application. Unbiased, data‐driven techniques such as clustering may help optimi…
View article: Intelligence-Based Recommendation System for Critical Stroke Management in Intensive Care Units
Intelligence-Based Recommendation System for Critical Stroke Management in Intensive Care Units Open
View article: Development of criteria for cognitive dysfunction in post-COVID syndrome: the IC-CoDi-COVID approach
Development of criteria for cognitive dysfunction in post-COVID syndrome: the IC-CoDi-COVID approach Open
Background We aimed to develop objective criteria for cognitive dysfunction associated with the post-COVID syndrome. Methods Four hundred and four patients with post-COVID syndrome from two centers were evaluated with comprehensive neurops…
View article: On the limits of graph neural networks for the early diagnosis of Alzheimer’s disease
On the limits of graph neural networks for the early diagnosis of Alzheimer’s disease Open
View article: GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer’s disease and frontotemporal dementia using genetic algorithms
GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer’s disease and frontotemporal dementia using genetic algorithms Open
Artificial Intelligence aids early diagnosis and development of new treatments, which is key to slow down the progress of the diseases, which to date have no cure. The patients’ evaluation is carried out through diagnostic techniques such …
View article: Neuropsychological Predictors of Fatigue in Post-COVID Syndrome
Neuropsychological Predictors of Fatigue in Post-COVID Syndrome Open
Fatigue is one of the most disabling symptoms in several neurological disorders and has an important cognitive component. However, the relationship between self-reported cognitive fatigue and objective cognitive assessment results remains …
View article: Prediction of Delivery Within 7 Days After Diagnosis of Early Onset Preeclampsia Using Machine-Learning Models
Prediction of Delivery Within 7 Days After Diagnosis of Early Onset Preeclampsia Using Machine-Learning Models Open
Background Early onset preeclampsia (eoPE) is a hypertensive disorder of pregnancy with endothelial dysfunction manifested before 34 weeks where expectant management is usually attempted. However, the timing of hospitalization, corticoster…