A5071904600- Renal Transplantation Outcomes and Treatments
- Transplantation: Methods and Outcomes
- Ethics in Clinical Research
- Organ Transplantation Techniques and Outcomes
- Privacy-Preserving Technologies in Data
- Cytomegalovirus and herpesvirus research
- Biomedical Ethics and Regulation
- Child and Adolescent Health
- Cutaneous Melanoma Detection and Management
- Biomedical Text Mining and Ontologies
- Ginkgo biloba and Cashew Applications
- Clinical practice guidelines implementation
- Artificial Intelligence in Healthcare and Education
- Pituitary Gland Disorders and Treatments
- Xenotransplantation and immune response
- Diabetes and associated disorders
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Cancer Immunotherapy and Biomarkers
- Inflammasome and immune disorders
- Ethics and Legal Issues in Pediatric Healthcare
- Hematopoietic Stem Cell Transplantation
- Polyomavirus and related diseases
- Cerebrovascular and Carotid Artery Diseases
- Renal and Vascular Pathologies
Inserm
2021-2025
Nantes Université
2022-2025
Center for Research in Transplantation and Translational Immunology
2024
École Centrale de Nantes
2023-2024
Institut de Transplantation Urologie en Nephrologie
2024
Centre Hospitalier Universitaire de Nantes
2021-2023
Centre d'Investigation Clinique de Nantes
2021
Institut du Thorax
2020
While nearly all computational methods operate on pseudonymized personal data, re-identification remains a risk. With health this risk may be considered double-crossing of patients' trust. Herein, we present new method to generate synthetic data individual granularity while holding privacy. Developed for sensitive biomedical the is patient-centric as it uses local model random called an "avatar data", each initial individual. This method, compared with 2 other generation techniques...
Background Lung transplantation is a highly dynamic segment of solid organ in which gender plays central role. Our objective was to investigate the causes outcome differences between women and men all along lung pathway. Methods We used data from French COhort Transplantation (COLT) study (12 participating centres). Analyses were performed three phases: baseline clinical characteristics, peri-transplantation period post-transplantation follow-up. Results Overall, 1710 participants (802 908...
Background and purpose The ever-growing availability of imaging led to increasing incidentally discovered unruptured intracranial aneurysms (UIAs). We leveraged machine-learning techniques advanced statistical methods provide new insights into rupture aneurysm (RIA) risks. Methods analysed the characteristics 2505 patients with (IA) between 2016 2019. Baseline characteristics, familial history IA, tobacco alcohol consumption, pharmacological treatments before IA diagnosis, cardiovascular...
<title>Abstract</title> Sharing information provided by individual patient data is restricted regulatory frameworks due to privacy concerns. Generative artificial intelligence could generate shareable virtual populations, as proxies of sensitive reference datasets. Explicit demonstration demanded. Here, we determined whether a privacy-by-design technique called “avatars” can synthetic randomized clinical trials (RCTs). We generated 2160 datasets from two RCTs in multiple sclerosis...
The rate of early pancreas allograft failure remains high due to thrombosis but also severity rejection episodes. We investigated if adjunct anti-TNFα therapy was safe and could improve outcomes after transplantation. all transplants performed in our institution between 2010 2022. Etanercept, an anti TNFα therapy, added standard immunosuppressive regimen since 2017 approval from institutional human ethics committee. Pancreas survival, episodes, as well infectious complications were analyzed....
The main limitation to long-term lung transplant (LT) survival is chronic allograft dysfunction (CLAD), which leads irreversible damage and significant mortality. Individual factors can impact CLAD, but no large genetic investigation has been conducted date. We established the multicentric Genetic COhort in Lung Transplantation (GenCOLT) biobank from a rich homogeneous sub-part of COLT cohort. GenCOLT collected DNA, high-quality GWAS (genome-wide association study) genotyping robust HLA data...
In colorectal cancer (CRC), a high density of T lymphocytes represents strong prognostic marker in subtypes CRC. Optimized immunotherapy strategies to boost this T-cell response are still needed. A good candidate is the inflammasome pathway, an emerging player immunology that bridges innate and adaptive immunity. Its effector protein caspase-1 matures IL-18 can promote T-helper/cytotoxic (Th1/Tc1) response. It unknown whether tumor cells from CRC possess functional caspase-1/IL-18 axis could...
Pituitary adenoma (PA) is one of the three major components multiple endocrine neoplasia type 1 (MEN1). Recent studies have suggested that MEN1-associated PAs are less aggressive than initially estimated. We propose an analysis outcome with a standard care treatment in nationwide cohort MEN1 patients.Retrospective observational study using patient registry from French Group Endocrine Tumours (GTE).The GTE database population consists 1435 patients MEN1. This focused on 551 recruited after...
<title>Abstract</title> The main limitation to long-term lung transplant (LT) survival is chronic allograft dysfunction (CLAD), which leads irreversible damage and significant mortality. Individual factors can impact CLAD, but no large genetic investigation has been conducted date. We established the multicentric Genetic COhort in Lung Transplantation (GenCOLT) biobank upon rich homogeneous COLT cohort. GenCOLT collected DNA, high-quality GWAS (genome-wide association study) genotyping...
<title>Abstract</title> Sharing information provided by individual patient data is restricted regulatory frameworks due to privacy concerns. Generative artificial intelligence could generate shareable virtual populations, as proxies of sensitive reference datasets. Explicit demonstration demanded. Here, we determined whether a privacy-by-design technique called “avatars” can synthetic randomized clinical trials (RCTs). We generated 2160 datasets from two RCTs in multiple sclerosis...
Objective: The Projections In Multiple Sclerosis (PRIMUS) project aims to develop a precision medicine platform enabling neurologists support therapeutic decisions in multiple sclerosis by visualizing similar patient data among reference database. We present integration method combine randomized clinical trials (RCTs) and observational studies optimize their informativeness. Methods: developed an extract-transform-load pipeline 13 source databases with 31,786 patients: the mother...
be put up with. Unfortunately, 44 years later this still needs saying. Having started in pediatric nursing ago with the philosophy that children hospitals would all right if it were not for their parents, I have found my attitude completely reversed by experience. In past seven years, cared over 10,000 patients a 12-bed, minor-surgery ward children's ho pital. The majority of come tonsillectomies and enoidectomies, but some operations on eye muscles, circumcisions, cystoscopies. Most early...
Abstract Anonymization is crucial in the era of big data analysis. While nearly all computational methods operate on pseudonymised personal data, re-identification remains a risk. With health this risk may be considered double-crossing patients’ trust. Herein, we present new method to generate synthetic individual granularity while holding privacy. Developed for sensitive biomedical patient-centric as it uses local model random called an “avatar”, each initial individual. This applied real...