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@mehdifelfli
Clinical Research Scientist specializing in medical imaging and AI methodologies.
I am a Clinical Research Scientist with extensive experience in medical imaging and the development of surrogate clinical endpoints. My work at Median Technologies has allowed me to apply machine learning and multi-omics approaches to predict patient responses and disease progression in clinical trials. I am passionate about leveraging data to enhance clinical outcomes and have successfully contributed to numerous projects that validate AI algorithms for medical applications.
Throughout my career, I have developed statistical analysis plans and methodologies for clinical endpoint validation, particularly in oncology and immunotherapy trials. My academic background includes a Doctor of Medicine and a Master’s degree in Bioinformatics, which have equipped me with a robust understanding of both clinical and technical aspects of research. I thrive in collaborative environments and have a proven track record of contributing to scientific publications and presentations at major international congresses.
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Work history, roles, and key accomplishments
Median Technologies
Jan 2022 - Present (3 years 10 months)
Applied machine learning, multi-omics, and statistical modeling to predict patient response, disease progression, survival, and patient selection in imaging clinical trials. Provided methodological and statistical expertise for imaging clinical trial design, endpoint selection, and biomarker validation.
Olea Medical - Canon Medical Systems Corporation
Jan 2019 - Present (6 years 10 months)
Drafted research protocols, including data selection, sample size determination, and power analysis for clinical studies. Developed AI validation methodologies for clinical study design, data processing, statistical analysis, and performance metrics.
Imagine Institute of Genetic Diseases
Jan 2016 - Present (9 years 10 months)
Studied lymphocyte activation and EBV susceptibility in immunodeficient patients presenting a lymphoproliferative disorder. Utilized molecular biology techniques, cell culture, sequencing, cloning, PCR, cytometry, labelling, and phenotyping.
CHU Annaba
Jan 2015 - Present (10 years 10 months)
Provided diagnostic consultations and drug prescriptions across various medical specialties including Gynecology/Obstetrics, Pediatrics, Anesthesia, and Functional Rehabilitation. Performed on-call duties to ensure continuous patient care and emergency response.
Degrees, certifications, and relevant coursework
Master degree (Ms), Bioinformatics
Specialized in Bioinformatics with a focus on platform engineering in biology. Gained expertise in medical imaging, surrogate clinical endpoints, and patient response prediction in clinical trials.
Doctor of Medicine (MD), Medicine
Completed a comprehensive medical curriculum, earning the Doctor of Medicine degree. This foundational education provided a strong understanding of clinical practices and patient care.
Software and tools used professionally
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