A5041159431- COVID-19 Clinical Research Studies
- Long-Term Effects of COVID-19
- Machine Learning in Healthcare
- Advanced Statistical Methods and Models
- Biomedical Text Mining and Ontologies
- Parallel Computing and Optimization Techniques
- Topic Modeling
- Financial Markets and Investment Strategies
- Sports Analytics and Performance
- Embedded Systems Design Techniques
- COVID-19 and healthcare impacts
- Electronic Health Records Systems
- Pharmacological Receptor Mechanisms and Effects
- SARS-CoV-2 and COVID-19 Research
- Bayesian Methods and Mixture Models
- COVID-19 and Mental Health
- Scientific Computing and Data Management
- Artificial Intelligence in Healthcare
- Shoulder Injury and Treatment
- Data Quality and Management
- Constraint Satisfaction and Optimization
- Natural Language Processing Techniques
- Financial Risk and Volatility Modeling
- Musculoskeletal pain and rehabilitation
- Sports injuries and prevention
Université Paris Cité
2022-2025
Laboratoire Matériaux et Phénomènes Quantiques
2025
Sorbonne Université
2010-2025
Laboratoire de Physique Théorique de la Matière Condensée
2024-2025
Assistance Publique – Hôpitaux de Paris
2016-2023
Université Sorbonne Paris Nord
2020-2023
Hôpital Corentin-Celton
2022
Inserm
2010-2022
Centre de Recherches Sociologiques sur le Droit et les Institutions Pénales
2022
Université de Bourgogne
2022
We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) 96 hospitals across five countries (www.covidclinical.net). Contributors utilized Informatics for Integrating Biology Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms map a common model. The group focused on temporal changes in key...
Improving work conditions in industry is a major challenge that can be addressed with new emerging technologies such as collaborative robots. Machine learning techniques improve the performance of those robots, by endowing them degree awareness human state and ergonomics condition. The availability appropriate datasets to learn models test prediction control algorithms, however, remains an issue. This article presents dataset motions industry-like activities, fully labeled according...
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...
Haloperidol, a widely used antipsychotic, has been suggested as potentially useful for patients with COVID-19 on the grounds of its in-vitro antiviral effects against SARS-CoV-2, possibly through sigma-1 receptor antagonist effect.We examined associations haloperidol use intubation or death and time to discharge home among adult hospitalized at Assistance Publique-Hôpitaux de Paris (AP-HP) Greater University hospitals. Study baseline was defined date hospital admission. The primary endpoint...
Migraine is a neurological disease characterized by recurring attacks that can cause severe disabling pain. This study described the burden of migraine as reported individuals with in real world using mobile application.A retrospective, cross-sectional analysis was conducted data captured through Buddy© smartphone application from adult, self-diagnosed 17 European countries. Data were analyzed descriptively for most recent 28-day period users (n = 3900) during (June 2015-July 2016) who...
To examine the association between dexamethasone use and mortality among patients hospitalized for COVID-19.We examined at AP-HP Greater Paris University hospitals. Study baseline was defined as date of hospital admission. The primary endpoint time to death. We compared this who received those did not in time-to-event analyses adjusted patient characteristics (such age, sex comorbidity) clinical biological markers severity COVID-19, stratified by need respiratory support, i.e. mechanical...
ABSTRACT Objective To examine the association between antidepressant use and risk of intubation or death in hospitalized patients with COVID-19. Design Multicenter observational retrospective cohort study. Setting Greater Paris University hospitals, France. Participants 7,345 adults COVID-19 24 January 1 April 2020, including 460 (6.3%) who received an during visit. Data source Assistance Publique-Hôpitaux de Health Warehouse. Main outcome measures The primary endpoint was a composite death....
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...
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...
In the era of big data, intensive care unit (ICU) is likely to benefit from real-time computer analysis and modeling based on close patient monitoring electronic health record data. The Medical Information Mart for Intensive Care (MIMIC) first open access database in ICU domain. Many studies have shown that common data models (CDMs) improve searching by allowing code, tools, experience be shared. Observational Outcomes Partnership (OMOP) CDM spreading all over world.The objective was...
ABSTRACT We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) 96 hospitals across 5 countries ( www.covidclinical.net ). Contributors utilized Informatics for Integrating Biology Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms map a common model. The group focused on comorbidities...
Background: Instability of the knee, related to anterior cruciate ligament injury, is treated by surgical reconstruction. During recovery, a loss proprioceptive input can have significant impact. Few studies evaluated benefits rehabilitation knee in aquatic environment on functional outcomes. Objective: This study aimed compare an innovative protocol combining reduced conventional with rehabilitation, according National French Health Authority, terms kinetics, development skills and...
ABSTRACT Objective To examine the association between hydroxyzine use and mortality in patients hospitalized for COVID-19, based on its anti-inflammatory antiviral properties. Design Multicenter observational retrospective cohort study. Setting Greater Paris University hospitals, France. Participants 7,345 adults COVID-19 24 January 1 April 2020, including 138 (1.9%) who received during visit at a mean dose of 49.8 mg (SD=51.5) an average 22.4 days (SD=25.9). Data source Assistance...
(1) Background: Based on its antiviral activity, anti-inflammatory properties, and functional inhibition effects the acid sphingomyelinase/ceramide system (FIASMA), we sought to examine potential usefulness of H1 antihistamine hydroxyzine in patients hospitalized for COVID-19. (2) Methods: In a multicenter observational study, included 15,103 adults COVID-19, which 164 (1.1%) received within first 48 h hospitalization, administered orally at median daily dose 25.0 mg (SD = 29.5). We compared...
Abstract With the development of platforms enabling integration and use phenome, genome, exposome data in context international research, management challenges are increasing, scalable solutions for cross border domain semantic interoperability need to be developed. Reusing routinely collected clinical data, especially, requires computable portable phenotype algorithms running across different electronic health record (EHR) products healthcare systems. We propose a framework describing...
Abstract Background Paradoxical reactions (PRs) are defined as the occurrence during biologic therapy of a pathological condition that usually responds to these drugs. Objectives To estimate incidence PRs and identify risk factors. Methods Multicentre study database for Greater Paris University Hospitals, including biologic-naive patients receiving anti-tumour necrosis factor-α, anti-interleukin-12/23, anti-interleukin-17 or anti-α4β7-integrin agents psoriasis, inflammatory rheumatism bowel...
Abstract In this series of papers, we describe the computer system have developed for two‐dimensional (2‐D) gel analysis. Here acquisition part is described and a set criteria able to measure overall performance presented. These are essentially based on frequency domain considerations using Fourier transforms. We show that transfer function characteristics input must be carefully checked avoid any image distortion; propose an easily computed criterion obtain setting conditions giving correct...
ABSTRACT Background Haloperidol, a widely used antipsychotic, has been suggested as potential effective treatment for Covid-19 on the grounds of its in-vitro antiviral effects against SARS-CoV-2. Methods We examined association between haloperidol use and respiratory failure at AP-HP Greater Paris University hospitals. Data were obtained regarding all adult patients hospitalized with since beginning epidemic. Study baseline was defined date hospital admission. The primary endpoint composite...