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Alaedine D. Benani, MMed, MSc

Alaedine Benani, MMed, MSc is a Machine Learning Researcher and Medical Lead at Zoī, a PhD Candidate at Sorbonne University (Cordeliers Campus), and a Vascular Medicine Resident at Assistance Publique – Hôpitaux de Paris (AP-HP).

He is also a Member of the Editorial Board of médecine/sciences and a Reviewer for the European Journal of Preventive Cardiology. Alaedine is a physician-scientist working at the intersection of clinical medicine, artificial intelligence, and preventive health, with a focus on developing multimodal machine learning algorithms for clinical decision support in vascular medicine and personalized prevention.

As a PhD Candidate at Sorbonne University within INSERM at the Cordeliers Research Centre, Alaedine conducts research on the design, explainability, and evaluation of multimodal machine learning algorithms applied to clinical decision-making.

His CIFRE doctoral project, in partnership with the startup Zoī, compares the added value of multimodal models versus unimodal approaches, with a particular focus on vascular medicine and prevention. He also explores methodological aspects related to the fusion of heterogeneous data — imaging, clinical, and biological — and bias risk management.

His landmark systematic review, Is Multimodal Better? A Systematic Review of Multimodal versus Unimodal Machine Learning in Clinical Decision-Making, analyzed 97 studies across 12 medical specialties and found that multimodal approaches outperformed unimodal methods in 91% of cases. Read Advancing cardiovascular disease risk prediction beyond conventional methods: a systematic review of multimodal machine learning models integrating traditional clinical factors and multi-omics data.

At Zoī, an AI-powered preventive health startup that raised a €20 million seed round exclusively from business angels, Alaedine leads the development of AI-powered tools designed to support personalized nutrition, behavioral change, and preventive health tracking. He contributed to the design and analysis of the Zoī cohort, a deeply phenotyped prospective longitudinal study combining over 500 self-reported items, 196 biomarkers, and multimodal imaging.

Read A Comprehensive Prospective Cohort in Preventive Medicine: Protocol and Profile of the First 1,000 Participants in a Health Screening Program.

Notably, the cohort revealed that 45.6% of participants who reported no known ongoing diseases had at least one undiagnosed chronic condition. Read Latent chronic stress: identification and characterization in a preventive medicine cohort and Comparison of cardiovascular risk in individuals with normal vs isolated elevated diastolic blood pressure.

As a Member of the Medical Board at AP-HP Paris Centre University Hospital Group, Alaedine represents medical residents across seven hospitals: Broca, Cochin, Corentin Celton, Georges Pompidou, Hôtel-Dieu, Necker, and Vaugirard. Between November 2022 and May 2024, he completed his Vascular Medicine Residency at AP-HP, working in cardiovascular rehabilitation, the vascular exploration laboratory, and the day hospital, before pausing his residency to pursue his PhD.

Alaedine has authored 13 publications spanning machine learning in healthcare, preventive medicine, synthetic data, and medical imaging. His research has been published in BMJ Open Ophthalmology, Academic Radiology, medRxiv, and médecine/sciences. He is also a Junior Member of the European Stroke Association and contributed to the development of knowledge-augmented language models for medical education.

Read Retinal biomarkers for early Alzheimer’s detection: a systematic review of optical coherence tomography (OCT) findings, Feasibility of Latest-Generation Cone-Beam CT for Thoracic Imaging: A Pilot Study, Efficient Medical Question Answering with Knowledge-Augmented Question Generation, Synthetic data in medicine: Generation, evaluation and limits and History and vision of artificial intelligence.

Between 2020 and 2024, Alaedine cofounded Freecn.io, a nonprofit association providing a free, accessible platform to help medical students prepare for France’s national medical residency exam. Under his leadership, the platform assembled a team of more than 25 volunteers and served over 15,000 medical students within two years of launch, with over 3,000 MCQs generated at launch and 115,000 page views during its beta phase.

Between April 2020 and January 2024, he also served as Medical Project Manager at Synapse Medicine, where he contributed to the GoodMed drug information application, the Synapse Pro platform for healthcare professionals, and the knowledge base for the Synapse Copilot project.

In 2019, Alaedine completed a Data Scientist internship at Owkin, an AI biotechnology company specializing in federated learning and digital pathology. He worked within the radiology team, contributing to research at the intersection of machine learning and medical imaging. He also served as a Project Manager Trainee at the CRI (now Learning Planet Institute), where he developed machine learning training projects for healthcare professionals.

Alaedine earned his Master of Medicine from Université Paul Sabatier Toulouse III in 2022, where he completed a Double Cursus Médecine/Sciences. He earned his Master of Science in Innovation Technologique from École Polytechnique in 2019, in collaboration with HEC Paris, Institut Imagine, and Université Paris Descartes, focusing on data science and entrepreneurship.

He also earned an Entrepreneurship MSc from HEC Paris in 2019, a Master 2 in Biomedical Engineering from Université Paris-Saclay in 2019, and a Certificat d’études in Political Science from Sciences Po Toulouse in 2018. He completed Stanford University’s Machine Learning course through Coursera in 2019 and the VASCERN Summer School 2025 on Rare Vascular Diseases.

Alaedine was a Keynote Speaker at Longevity Summit Dublin 2025, where he spoke on how artificial intelligence and digital tools can help extend healthspan. He served as a Board Member of the European MD/PhD Association between November 2017 and January 2019 and as a member of the Central Bureau of the Association Nationale des Doubles Cursus en Santé (ANDCS) between June 2017 and June 2019.

Between January 2020 and January 2022, he was a Scientific Curator for the health section of Techstars Startup Digest, reaching over 8,000 readers. He was also the Lead Organizer of the MIT Hacking Medicine GrandHack in 2019 and served as a PhD Representative at Sorbonne Université.

Listen to Médecine préventive : vers une santé durable avec Alaedine Benani on the Métamorphose podcast.

Visit his LinkedIn profile, ResearchGate profile, Google Scholar page, and ORCiD page. Follow him on GitHub and Kaggle.