Imperial College London

DrNathanPeiffer-Smadja

Faculty of MedicineDepartment of Infectious Disease

Honorary Clinical Research Fellow
 
 
 
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Contact

 

n.peiffer-smadja

 
 
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Location

 

Commonwealth BuildingHammersmith Campus

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Summary

 

Summary

Nathan Peiffer-Smadja is a physician specialized in Internal Medicine and Infectious Diseases, a fellow of the French Society of Infectious Diseases, a PhD candidate in Public Health and a Honorary Clinical Research Fellow in Imperial College London. He has a MS in cognitive neuroscience with a focus on decision science.

He has 8 years of clinical experience in French teaching hospitals and 4 years of experience in clinical research, mainly on the ways to optimize the use of antibiotics. His PhD project is titled "Evaluation and Implementation of Clinical Decision Support Systems for Antimicrobial Prescribing", supervised by Dr Raheelah Ahmad in the National Institute of Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and AMR and Professor Fran├žois-Xavier Lescure in the Inserm Infection, Antimicrobials, Modelling, Evolution (IAME) laboratory.

SELECTED PUBLICATIONS


Peiffer-Smadja N, Hanslik T, Mordant P, Lescure FX., 2019
Cultural differences between surgical and medical teams: is it time for comanagement? 
Clin Infect Dis

Peiffer-Smadja N, Domont F, Saadoun D, Cacoub P., 2019
Corticosteroids and immunosuppressive agents for idiopathic recurrent pericarditis.
Autoimmun Rev

Peiffer-Smadja N, Cohen L., 2019
The cerebral bases of the bouba-kiki effect.
Neuroimage

Peiffer-Smadja N, Abbara S, Rizk N, et al., 2018
High-dose daptomycin in patients with infective endocarditis or sternal wound infections.
Clin Microbiol Infect

Peiffer-Smadja N, Lescure FX, Maatoug R, Rohaut B., 2018
Cognitive biases in the decision-making process of antibiotic prescribing.
Clin Microbiol Infect

Peiffer-Smadja N, Ouedraogo R, D'Ortenzio E, et al., 2017
Vaccination and blood sampling acceptability during Ramadan fasting month: A cross-sectional study in Conakry, Guinea.
Vaccine

Publications

Journals

Peiffer-Smadja N, Rawson TM, Ahmad R, et al., Machine learning for clinical decision support in infectious diseases: A narrative review of current applications, Clinical Microbiology and Infection, ISSN:1198-743X

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