A5039181362- Biomedical Text Mining and Ontologies
- Natural Language Processing Techniques
- COVID-19 Clinical Research Studies
- Topic Modeling
- Social Sciences and Governance
- Semantic Web and Ontologies
- Cancer Genomics and Diagnostics
- Bioinformatics and Genomic Networks
- Scientific Computing and Data Management
- Machine Learning in Healthcare
- Long-Term Effects of COVID-19
- Genomics and Rare Diseases
- COVID-19 and healthcare impacts
- Genetics, Bioinformatics, and Biomedical Research
- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Text Readability and Simplification
- Health Systems, Economic Evaluations, Quality of Life
- COVID-19 and Mental Health
- Colorectal Cancer Treatments and Studies
- Ethics in Clinical Research
- Genomics and Phylogenetic Studies
- Pharmacovigilance and Adverse Drug Reactions
- Hormonal Regulation and Hypertension
Assistance Publique – Hôpitaux de Paris
2016-2025
Hôpital Européen Georges-Pompidou
2016-2025
Inserm
2016-2025
Université Paris Cité
2016-2025
Centre de Recherche des Cordeliers
2016-2025
Sorbonne Université
2017-2025
Hôpital Européen
2016-2024
Sorbonne Paris Cité
2014-2024
Institut national de recherche en informatique et en automatique
2021-2024
European Hospital
2014-2023
Abstract Tissue-resident memory T cells (Trm) represent a new subset of long-lived that remain in tissue and do not recirculate. Although they are considered as early immune effectors infectious diseases, their role cancer immunosurveillance remains unknown. In preclinical model head neck cancer, we show intranasal vaccination with mucosal vector, the B subunit Shiga toxin, induces local Trm inhibits tumour growth. As recirculate, demonstrate crucial efficacy vaccine parabiosis experiments....
Clinical data warehouses are often oriented toward integration and exploration of coded data. However narrative reports crucial importance for translational research. This paper describes Dr. Warehouse®, an open source warehouse clinical designed to support clinicians’ day-to-day use. Warehouse relies on original database model focus documents in addition facts. Besides classical querying functionalities, the system provides advanced search engine Graphical User Interfaces adapted text. is...
We aimed to determine whether pretherapeutic assessment of HPV circulating tumoral DNA (HPV ctDNA) by droplet‐based digital PCR (ddPCR) could constitute a predictive and prognostic biomarker for HPV‐associated oropharyngeal squamous cell carcinoma (OPSCC). A mono‐institutional prospective study on 66 patients with p16+/HPV16‐positive (OPSCC) was conducted in European Georges Pompidou Hospital, Paris, France. Blood samples were collected at the time diagnosis before any treatment. Optimized...
Abstract Background Artificial intelligence (AI) has the potential to transform our healthcare systems significantly. New AI technologies based on machine learning approaches should play a key role in clinical decision-making future. However, their implementation health care settings remains limited, mostly due lack of robust validation procedures. There is need develop reliable assessment frameworks for AI. We present here an approach assessing predicting treatment response triple-negative...
There are different approaches for repurposing clinical data collected in the Electronic Healthcare Record (EHR) use research. Semantic integration of "siloed" applications across domain boundaries is raison d'être standards-based profiles developed by Integrating Enterprise (IHE) initiative – an healthcare professionals and industry promoting coordinated established standards such as DICOM HL7 to address specific needs support optimal patient care. In particular, combination two IHE profile...
Background A novel disease poses special challenges for informatics solutions. Biomedical relies the most part on structured data, which require a preexisting data or knowledge model; however, diseases do not have models. In an emergent epidemic, language processing can enable rapid conversion of unstructured text to model. However, although this idea has often been suggested, no opportunity arisen actually test it in real time. The current coronavirus (COVID-19) pandemic presents such...
Abstract Objective To assess the clinical effectiveness of oral hydroxychloroquine (HCQ) with or without azithromycin (AZI) in preventing death leading to hospital discharge. Design Retrospective cohort study. Setting An analysis data from electronic medical records and administrative claim French Assistance Publique - Hôpitaux de Paris (AP-HP) warehouse, 39 public hospitals, Ile-de-France, France. Participants All adult inpatients at least one PCR-documented SARS-CoV-2 RNA a nasopharyngeal...
Information related to patient medication is crucial for health care; however, up 80% of the information resides solely in unstructured text. Manual extraction difficult and time-consuming, there not a lot research on natural language processing extracting medical from text French corpora.
Many institutions throughout the world have launched precision medicine initiatives in oncology, and a large amount of clinical genomic data is being produced. Although there been attempts at sharing with community, are still limited. In this context, French task force composed Integrated Cancer Research Sites (SIRICs), comprehensive cancer centers from Unicancer network (one Europe's largest research organization), university hospitals an initiative to improve accelerate retrospective...
The SARS-Cov2 may have impaired care trajectories, patient overall survival (OS), tumor stage at initial presentation for new colorectal cancer (CRC) cases. This study aimed assessing those indicators before and after the beginning of pandemic in France. In this retrospective cohort study, we collected prospectively clinical data 11.4 million patients referred to Greater Paris University Hospitals (AP-HP). We identified CRC cases between 1 January 2018 31 December 2020, compared 2018-2019...
High lipoprotein(a) (Lp[a]) levels are involved in the development of cardiovascular events, particularly myocardial infarction, stroke, and peripheral artery disease. Studies assessing Lp(a) associated with adverse lower-limb events lacking.To assess association between incidence major limb unselected hospitalized patients.This large retrospective monocentric cohort study was conducted from January 1, 2000, to December 31, 2020. Data were derived clinical information system Hôpital Européen...
Prior research suggests that psychiatric disorders could be linked to increased mortality among patients with COVID-19. However, whether all or specific are intrinsic risk factors of death in COVID-19 these associations reflect the greater prevalence medical people has yet evaluated.We performed an observational, multicenter, retrospective cohort study examine association between and hospitalized for laboratory-confirmed at 36 Greater Paris University hospitals.Of 15,168 adult patients, 857...
Secondary use of data collected in Electronic Health Records opens perspectives for increasing our knowledge rare diseases. The clinical warehouse (named Dr. Warehouse) at the Necker-Enfants Malades Children's Hospital contains during normal care thousands patients. Warehouse is oriented toward exploration narratives. In this study, we present method to find phenotypes associated with diseases interest. We leveraged frequency and TF-IDF explore association between applied six cases: Rett,...
The unprecedented advances in technology and scientific research over the past few years have provided community with new more complex forms of data. Large data sets collected from single groups or cross-institution consortiums containing hundreds omic clinical variables corresponding to thousands patients are becoming increasingly commonplace setting. Before any core analyses performed, visualization often plays a key role initial phases research, especially for projects where no hypotheses...