Raphaëlle Beau‐Lejdstrom

ORCID: 0000-0003-0877-0109
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About
Contact & Profiles
Research Areas
  • Attention Deficit Hyperactivity Disorder
  • Pharmacovigilance and Adverse Drug Reactions
  • Myasthenia Gravis and Thymoma
  • Advanced Causal Inference Techniques
  • Neural and Behavioral Psychology Studies
  • Antibiotic Use and Resistance
  • Pharmacological Effects and Toxicity Studies
  • Anesthesia and Sedative Agents
  • Statistical Methods in Clinical Trials
  • Autism Spectrum Disorder Research
  • Immunotoxicology and immune responses
  • Fibromyalgia and Chronic Fatigue Syndrome Research
  • Computational Drug Discovery Methods
  • Data-Driven Disease Surveillance
  • Artificial Intelligence in Healthcare and Education
  • Cytokine Signaling Pathways and Interactions
  • Privacy-Preserving Technologies in Data
  • Tuberculosis Research and Epidemiology
  • Pharmaceutical studies and practices
  • Epilepsy research and treatment
  • COVID-19 diagnosis using AI
  • Medication Adherence and Compliance
  • Monoclonal and Polyclonal Antibodies Research
  • Misinformation and Its Impacts

University of Geneva
2016-2023

University of Zurich
2019-2023

To investigate attention deficit and hyperactivity disorder (ADHD) drug prescribing in children under 16 years old the UK between 1992 2013.All patients registered Clinical Practice Research Datalink (CPRD) with a minimum of 1 year observation time who received at least one prescription any ADHD January 31 December 2013.Trends prevalence incidence use drugs were calculated 1995 2013 persistence new users was estimated.The increased 34-fold overall, rising from 1.5 95% CI (1.1 to 2.0) per 10...

10.1136/bmjopen-2015-010508 article EN cc-by BMJ Open 2016-06-01

Global pandemics call for large and diverse healthcare data to study various risk factors, treatment options, disease progression patterns. Despite the enormous efforts of many consortium initiatives, scientific community still lacks a secure privacy-preserving infrastructure support auditable sharing facilitate automated legally compliant federated analysis on an international scale. Existing health informatics systems do not incorporate latest progress in modern security machine learning...

10.1093/jamia/ocaa172 article EN cc-by-nc Journal of the American Medical Informatics Association 2020-07-09

Introduction Drug utilization is currently assessed through traditional data sources such as big electronic medical records (EMRs) databases, surveys, and medication sales. Social media internet have been reported to provide more accessible timely access medications' utilization. Objective This review aims at providing evidence comparing web on drug other before the COVID-19 pandemic. Methods We searched Medline, EMBASE, Web of Science, Scopus until November 25th, 2019, using a predefined...

10.3389/fdgth.2023.1074961 article EN cc-by Frontiers in Digital Health 2023-03-20

Attention‐deficit hyperactivity disorder ( ADHD ) medication use has dramatically increased in youth worldwide. Recent prevalence data some European countries show expanded with one country now matching US usage. Still, substantial geographic differences by remain regarding the extent to which children receive medications. These raise research questions about country's represents appropriate use. We urgently need level studies contribute our understanding of an

10.1002/cpt.1137 article EN Clinical Pharmacology & Therapeutics 2018-08-17

<h3>Objective:</h3> To establish the efficacy of rozanolixizumab in patients with generalized myasthenia gravis (gMG) across subgroups prior therapy and disease severity/duration. <h3>Background:</h3> gMG is an autoimmune disorder leading to unpredictable muscle weakness fatigue. Rozanolixizumab, a humanized IgG4 monoclonal antibody, inhibits FcRn, reducing IgG pathogenic autoantibody levels. <h3>Design/Methods:</h3> The randomized, double-blind, placebo-controlled, Phase 3 MycarinG study...

10.1212/wnl.0000000000202912 article EN Neurology 2023-04-25

Abstract Purpose The EUPAS26595 study characterized the rate of acute renal failure (ARF) in patients exposed to levetiracetam versus other antiepileptic drugs using healthcare claims data and a high‐dimensional propensity score (hd‐PS) for confounding adjustment. contained several coding systems by design an update International Classification Diseases (ICD) dictionary. Such heterogeneity can affect performance hd‐PS, manually harmonization is not feasible. Our objective was explore impact...

10.1002/pds.5702 article EN cc-by-nc Pharmacoepidemiology and Drug Safety 2023-09-25
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