Come and discover our research activities and discuss with us about posters and demonstrations on December 13rd, 2023 from 1:30 pm to 5 pm, at the BDD building in Curie Institute, Paris.
After a brief introduction regarding the lab organization and how we work from 13:30 to 14:00 pm (which will be shown on a loop throughout the afternoon), our activities will be presented through posters and demonstrations arranged by theme. LITO members will be present to explain their work and projects and answers all questions you may have. Below is a preliminary list of the activities that will be displayed:
Positron Emission Tomography for in vivo molecular imaging:
- PET imaging for exploring cancer biology
- Gallium-68 oxine synthesis for the radiolabeling of extracellular vesicles and PET/CT imaging
- LIFEx: a free platform for radiomics and medical image analysis (poster and demo).
- ROBI: a screening pipeline for the identification of new prognostic and predictive biomarkers in medical imaging.
- RadShap: an original tool to help interpret radiomic models.
- ICARE: the method that won the MICCAI 2022 challenge to develop a model for predicting progression-free survival in Head and Neck cancer patients from PET/CT images.
- ai4life: a validated method for automatic segmentation of tumor foci from whole-body PET/CT scans.
- Automatic segmentation of breast tumors from multimodal MRI to characterize response to neoadjuvant chemotherapy.
- Perturbation of the whole-body metabolic network in breast cancer patients.
- Prediction of response to neoadjuvant chemo±immunotherapy from features measured on positron emission tomography (PET) images in patients with triple-negative breast cancer
- New prognostic and predictive Positron Emission Tomography (PET) biomarkers in patients with non-small cell lung cancer
- Prediction of response to immunotherapy in patients with non-small cell lung cancer based on positron emission tomography (PET) images.
- Prediction of response to tyrosine kinase inhibitors in patients with non-small cell lung cancer based on positron emission tomography (PET) images.
- Integration of multimodal data for predicting response to immunotherapy in patients with non-small cell lung cancer.
- New prognostic biomarkers from Positron Emission Tomography (PET) images in lymphoma patients.
- Making prognostic Positron Emission Tomography (PET) biomarkers in lymphoma patients accessible through Artificial Intelligence.
- Prediction of genetic mutations in diffuse intrinsic pontine glioma using multi-modal MRI.
- Evaluation of photodynamic therapy in retinoblastoma : a pre-clinical study.
Imaging and radiotherapy:
- Predicting recurrence and location from MRI and PET images in Heand and Neck cancer patients who have undergone re-irradiation.
- A non-invasive method to study vocal fold function before and after irradiation of the laryngeal area.