Lyon, France

• [AIRISE] : A collaborative project involving the Lyon University Hospital (Hospices Civils de Lyon), BioMérieux, and the Center of Excellence in Respiratory Pathogens (CERP) as part of the Centre International de Recherche en Infectiologie (CIRI).

  Using the HCL Data Warehouse (EDS), the project investigates acute lower respiratory tract infections – a leading cause of hospital admissions worldwide. These infections, caused by bacteria or viruses, can occur in the community or in hospitals and require rapid and appropriate management. Some patients may show signs of deterioration that increase the risk of admission to intensive care, with potentially serious consequences for their prognosis, quality of life, and hospital costs. The aim is to develop AI models capable of identifying these signs of deterioration as early as possible, leveraging patients’ clinical and biological data, as well as their temporal evolution. The ultimate goal is to build a real-time prediction system to support clinicians in optimizing patient management.

London, UK

Collaborators : Daniel Alexander, Joseph Jacob

• Vascular segmentation of HiP-CT brain images
• Synthesize Utrasound Localisation Microscopy (ULM) images from Functional Ultrasound (fUS) using deep generative models

Lyon, France

Supervisors : Thomas Guyet, Hugues Berry

Collaborators : Benjamin Vidal, Etienne Audureau

• [fUS-ULM] : Functional Ultrasound Imaging captures rapid hemodynamic changes but offers limited spatial resolution. Ultra Localized Microscopy provides high-resolution images but suffers from long acquisition times. Combining fUS and ULM could produce detailed images with both high resolution and fast frame rates.

• [AI-RACLES] : A chair funded by Inria-APHP-CS aiming to develop new artificial intelligence techniques to better exploit the greater Paris university Hospital (APHP) data lake. The context of this internship is to investigate how to support the evaluation of health care pathways.

Lyon, France

Supervisor : Hacid Mohand Saïd

Collaborators : Delphine Maucort-Boulch, François Talbot

• [KANOPEE]: An application offering clinical identification and advice by a virtual companion to limit sleep problems and addictive behaviors, early markers of anxiety, stress and depression linked to the COVID-19 crisis.

• [QUALITOP]: European project aiming to develop a smart digital platform using big data analysis to monitor health status and quality of life of cancer patients given immunotherapy.