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2025 call AI / Imaging

Dr. Silvia Masini

Ricercatrice oncologica (Prof. Armando Santoro coordinatore scientifico)

📍 Humanitas Research Hospital, Milano

Grant received: €3.000
AI-Imaging

Applicazione di Generative Adversarial Networks (GANs) all'imaging diagnostico in oncologia polmonare

Sviluppo di modelli di intelligenza artificiale (GANs) per migliorare l'imaging diagnostico nel tumore al polmone, con focus su predizione precoce e stratificazione del rischio. Progetto coordinato dal Prof. Armando Santoro presso Humanitas.

Scientific abstract

Clinical and Biomarker-Based Predictors of Outcomes in Advanced Non-Small Cell Lung Cancer Patients Treated with First-Line Checkpoint Inhibitors With or Without Platinum-Based Chemotherapy

Obiettivo generale

• To generate adequate synthetic data from a real-world cohort of well-annotated consecutive LC patients using GANs and other generative models • To validate the synthetic data generated with a validation framework in terms of statistical fidelity, clinical utility and privacy preservability.

Risultati attesi

We expect to generate high-fidelity synthetic datasets that reliably reproduce the statistical distribution and clinical complexity of real-world NSCLC cohorts. Validated through the SAFE and MOSAIC frameworks, the models will demonstrate improved ability to predict outcomes in first-line immunother…

Project key data

Formal title
Clinical and Biomarker-Based Predictors of Outcomes in Advanced Non-Small Cell Lung Cancer Patients Treated with First-Line Checkpoint Inhibitors With or Without Platinum-Based Chemotherapy
Expected duration
24 months
Funding
€3.000
Research centre
IRCCS Humanitas Research Hospital

Details

Call edition
Strongers for Research 2025
Awarded on
31 marzo 2026
Source
Bando 2025 — Comunicazione premio 31/03/2026

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