A5034929012- Biomedical Text Mining and Ontologies
- Natural Language Processing Techniques
- Topic Modeling
- Medical Coding and Health Information
- Molecular Biology Techniques and Applications
- Machine Learning in Healthcare
- Gene expression and cancer classification
- Wound Healing and Treatments
- Sports Performance and Training
- Machine Learning in Bioinformatics
- Text Readability and Simplification
- Cancer-related molecular mechanisms research
- Genomics and Chromatin Dynamics
- Injury Epidemiology and Prevention
- Mass Spectrometry Techniques and Applications
- Agriculture and Farm Safety
- Advanced Proteomics Techniques and Applications
- Ancient and Medieval Archaeology Studies
- RNA modifications and cancer
- Cardiovascular and exercise physiology
- Diabetic Foot Ulcer Assessment and Management
- Pressure Ulcer Prevention and Management
- AI in cancer detection
- Epigenetics and DNA Methylation
- Sports injuries and prevention
Cedars-Sinai Medical Center
2024-2025
Universidad de Málaga
2019-2023
Universidad de Zaragoza
2022-2023
Precision medicine in oncology aims at obtaining data from heterogeneous sources to have a precise estimation of given patient's state and prognosis. With the purpose advancing personalized framework, accurate diagnoses allow prescription more effective treatments adapted specificities each individual case. In last years, next-generation sequencing has impelled cancer research by providing physicians with an overwhelming amount gene-expression RNA-seq high-throughput platforms. this...
Influenza vaccine effectiveness (VE) estimation plays a critical role in public health decision-making by quantifying the real-world impact of vaccination campaigns and guiding policy adjustments. Current approaches to VE are constrained limited population representation, selection bias, delayed reporting. To address some these gaps, we propose leveraging large language models (LLMs) with few-shot chain-of-thought (CoT) prompting mine social media data for real-time influenza estimation. We...
Automatic clinical coding is an essential task in the process of extracting relevant information from unstructured documents contained electronic health records (EHRs). However, most research development computer-based methods for focuses on texts written English due to limited availability medical linguistic resources languages other than English. With nearly 500 million native speakers, there a worldwide interest processing healthcare Spanish. In this study, we systematically analyzed...
Automatic clinical coding is a crucial task in the process of extracting relevant information from unstructured medical documents contained Electronic Health Records (EHR). However, most existing computer-based methods for act as "black boxes", without giving detailed description reasons clinical-coding assignments, which greatly limits their applicability to real-world scenarios. The objective this study use transformer-based models effectively tackle explainable clinical-coding. In way, we...
The establishment of aging clocks based on age-associated changes in DNA methylation has highlighted the strong link between epigenetic alterations and aging. However, connection at clock sites their effect cellular function remains unclear. We hypothesize that chromatin accessibility, a readout integrates multiple mechanisms, may connect with downstream biological effects. To investigate this hypothesis, we generated accessibility profiles from peripheral blood mononuclear cells (PBMCs) 157...
Advances in natural language processing techniques, such as named entity recognition and normalization to widely used standardized terminologies like UMLS or SNOMED-CT, along with the digitalization of electronic health records, have significantly advanced clinical text analysis. This study presents ClinLinker, a novel approach employing two-phase pipeline for medical linking that leverages potential in-domain adapted models biomedical mining: initial candidate retrieval using SapBERT-based...
After being synthesized by ribosomes in the cells, proteins can suffer from post-translational modifications (PTM) that affect their functionality. One of most studied PTMs is phosphorylation. Mass-spectrometry methods aimed at identifying phosphorylation sites are arduous and expensive. For these reasons, numerous studies propose use machine leaning techniques to predict this PTM. Like phosphorylation, methionine oxidation another important Recently, we have proposed a learning approach...
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The number of events and distances in mountain races has grown exponentially. Meanwhile, the runners also increased considerably. participation resulted an increase runner injuries. This research is aimed at analysing comparing (men vs. women) experience time, training injuries sustained during practice this sport. sample (n=306) was made up men (n=261) women (n=45) who participated Canfranc - Race (Spain). instrument used Runner´s Profile Propensity to Sports Injury questionnaire. There...
Broj događaja i distanci u brdskim trkama je eksponencijalno rastao. U međuvremenu, broj trkača takođe značajno porastao. Povećano uc es će rezultiralo povećanjem povreda trkac a. Ovo istraz ivanje ima za cilj analizu upoređivanje (muškarci žene) iskustva, vremena treninga zadobijenih tokom bavljenja ovim sportom. Uzorak (n=306) su činili muškarci (n=261) žene (n=45) koji učestvovali na trci Kanfrank – (Španija). Instrument se koristi upitnik profil sklonost sportskim povredama. Nije bilo...
The increasing status of ultratrail races due to the growth in number and participants this kind events has caught attention interest scientific community. present study was carried out an ultra-trail race (108km distance 5800m accumulated slope). were divided into amateur level competitors (n=10; 43.30±4.52 years) or high-level 41.40±6.19 years). Neuromuscular response (squat jump, countermovement jump Abalakov jump) evaluated before after race. A questionary passed all determine...