Publications
Tailored diagnostic decision tree resulting from m...
Poster entitled "Tailored diagnostic decision tree resulting from machine learning to improve early diagnosis of ASMD" presented during WORLDSympos...
2024, 07 March1 min read
Existing practices for the identification, selecti...
The selection of an appropriate registry plays a critical role in RWD-based research, as registry features directly impact the quality of statistic...
2 min read
What are unmet needs in the use of registries in r...
To meet decision makers' expectations, a cross-sectional survey was conducted to evaluate current practices in identifying, selecting, and assessin...
2 min read
Criteria and methods applied to decision-making to...
Authors: C. Jiang, J. Tanniou, B. Amzal Date: 14 November 2023 DOI:...
2 min read
Existing automated tools to assist evidence genera...
The More-EUROPA project consortium brings together 14 public and private entities from 7 countries with the aim of enhancing the ethical and effect...
2 min read
Artificial Intelligence (AI) ToOLs for Outbreak De...
Numerous digital surveillance tools were developed during the COVID-19 pandemic to support public health decisions. Yet, those ad-hoc tools were es...
2 min read
Machine learned decision tree for diagnosis of ASM...
Machine learning on electronic health records (EHR) was used to produce a data-driven decision tree (algorithm) to flag high-risk patients for ASMD...
2 min read
Development of a rare disease algorithm to identif...
Early diagnosis of Gaucher disease (GD) allows for disease-specific treatment before significant symptoms arise, preventing/delaying onset of compl...
2 min read
AI/ML in Precision Medicine: A Look Beyond the Hyp...
Artificial Intelligence (AI) and Machine Learning (ML) are making headlines in medical research, especially in drug discovery, digital imaging, dis...
1 min read
High-Dose Influenza Vaccine Is Associated With Red...
Here, we explored whether High Dose (HD) vaccine attenuates disease severity among older adults with breakthrough influenza.
2 min read
Machine Learning (ML) applied to real-world data t...
The purpose of this work is to explore and identify early predictors of IO responses measured in real-world practice, with the goal of guiding pres...
2 min read
Estimating the pertussis burden in adolescents and...
We developed a machine learning algorithm to identify undiagnosed pertussis episodes in adolescent and adult patients with reported acute respirato...
2 min read
Development of an algorithm for finding pertussis ...
While tetanus-diphtheria-acellular pertussis (Tdap) vaccines for adolescents and adults were licensed in 2005 and immunization strategies proposed,...
2 min read
AI-Powered Pre-Competitive Disease and Care Modeli...
The purpose of this work is to propose a regulatory-grade, data-integrative, real-world-value-based and disease-centric approach to accelerate and ...
2 min read
Cluster Algorithm for Credible Subgroup Identifica...
This non-comparative, retrospective study aimed to characterize the profiles of erectile disfunction (ED) patients prescribed with tadalafil by clu...
2 min read
Cluster analysis of kidney function decline among ...
Fabry disease (FD) is an X-linked lysosomal storage disorder caused by deficient α-galactosidase A activity. The spectrum of disease includes phen...
2 min read
Identification of Predictive Factors of Diabetic K...
Q-Finder, a supervised non-parametric proprietary subgroup discovery algorithm, was used to identify subgroups with clinical characteristics associ...
2 min read
Qluster: An easy-to-implement generic workflow for...
The exploration of heath data by clustering algorithms allows to better describe the populations of interest by seeking the sub-profiles that compo...
2 min read
AliBERT: A pretrained Language Model for French Bi...
Over the past few years, domain specific pretrained language models have been investigated and have shown remarkable achievements in different down...
1 min read
LiSA : An assisted literature search pipeline for ...
Detecting safety signals attributed to a drug in scientific literature is a fundamental issue in pharmacovigilance. The constant increase in the vo...
2 min read
A Natural Language Processing (NLP) Approach to Au...
Patients’ testimonials (e.g. posts on forums or responses to questionnaires) provide valuable insights to define and characterize patient-reporte...
2 min read
Modeling approaches for early warning and monitori...
The COVID-19 pandemic has highlighted the lack of preparedness of many healthcare systems against pandemic situations. In response, many population...
1 min read
Epidemiology, treatment patterns, clinical outcome...
Immune‐mediated thrombotic thrombocytopenic purpura (iTTP) is a life‐threatening thrombotic microangiopathy. Due to its rarity, epidemiology an...
2 min read
Identifying patients with Gaucher Disease type 3 (...
GD3 is a progressive, lysosomal storage disorder (LSD), distinguished from GD1 by early heterogenous neurological manifestations. Neurological pres...
2 min read
Clustered analysis of Fabry disease progression in...
As the spectrum of Fabry phenotypes remains uncertain, the study objective was to describe patterns of progression in untreated Fabry disease (FD) ...
2 min read
Assay Harmonization and Use of Biological Standard...
The hemagglutination inhibition (HAI) assay is an established technique for assessing influenza immunity, through measurement of antihemagglutinin ...
2 min read
Q-Finder: An Algorithm for Credible Subgroup Disco...
In this paper, we present the Q-Finder algorithm that aims to generate statistically credible subgroups to answer clinical questions, such as findi...
2 min read
Rationale and methodology for a European pooled an...
Type 2 diabetes mellitus (T2DM) is a common and heterogeneous disease. Using advanced analytic approaches to explore real-world data may identify d...
2 min read
#Diabetes#QFinder#Subgroup Discovery#Toujeo#Type II Diabetes
Using natural language processing (NLP) to underst...
IDMPS is an international, observational study to assess care practices and clinical profiles of people with diabetes in developing countries.
2 min read
Identification of predictive factors of DKA using ...
Diabetic ketoacidosis (DKA) is a serious complication of type 1 diabetes (T1D), which is difficult to diagnose due to variability in symptoms. Bett...
3 min read
Unmet medical needs in people with type 2 diabetes...
Limited data exist on the impact of different insulin therapy regimes on outcomes in people with diabetes. The current study describes the unmet me...
2 min read
Projeter l’efficacité d’un traitement en vie ...
Nous proposons une approche alternative en plusieurs étapes, à travers un algorithme de suréchantillonnage pour apparier chaque patient issu d...
2 min read
Identification of subgroups of patients with Type ...
To investigate the effects of sodium-glucose co-transporter-2 (SGLT2) inhibitors vs. dipeptidyl peptidase-4 (DPP-4) inhibitors on renal function pr...
2 min read
Compare renal function preservation outcome of SGL...
This study aimed to evaluate renal function preservation (RFP) of SGLT2i vs DPP4i in Japanese type 2 diabetes patients and identify patient sub-gro...
3 min read
A machine learning algorithm can identify clusters...
Detecting consistent patterns of interest can be performed using data-driven subgroup discovery algorithms. These may be instrumental in exploiting...
3 min read
A predictive model for risk of early grade ≥...
Infections are a major cause of death in patients with multiple myeloma. A post hoc analysis of the phase 3 FIRST trial was conducted to characteri...
2 min read
Bioinformatics modelling of baseline characteristi...
Identifying categories of patients with diabetes sharing common characteristics and analysing clinical outcomes in these groups may lead to better ...
3 min read
Using machine learning algorithms to identify pred...
Authors: Y. Gaston-Mathé, T. Fan, A. Shaunik, C.Brulle-Wohlhueter, A. Civet Date: 11–15 September 2017 CONFERENCE/VALUE IN HEALTH INFO:N°811,...
1 min read
MMS19 as a potential predictive marker of adjuvant...
Resectable non-small cell lung cancer (NSCLC) treatment options most often consist of surgical resection along with adjuvant chemotherapy (ACT).
1 min read
Patients with Moderate to Severe Dry Eye Disease i...
Severity of kerato conjunctivissicca (KCS) can be defined in several ways that are not always convergent. One central question remains, how to reco...
2 min read