A Non-invasive Way to Classify Tumor Molecular Subtypes Using Digital Mammograms

Ciutat:
Poster European Corner

Nom i cognoms / Name and surname

Adnan Khalid, Domenec Puig, Hatem A. Rahwan

Afiliació / Affiliation

Universitat Rovira i Virgili (URV)

Programa de finançament europeu en que s’enmarca aquest projecte? / European funding programme in which this project is being carried out?

Marie Skłodowska-Curie Schemes

Títol del projecte / Project title

A Non-invasive Way to Classify Tumor Molecular Subtypes Using Digital Mammograms

Número del projecte / Project number

101073222

Breu explicació del projecte / Brief explanation of your project

BosomShield aims to integrate pathological and radiological imaging into a unified software solution capable of analyzing medical images to classify breast cancer subtypes. At URV, we are focused on developing a non-invasive method that utilizes digital mammograms and advanced AI techniques. Our goal is to facilitate accurate diagnoses and personalized treatment planning, thereby reducing the need for invasive biopsies.

Enllaç a la pàgina web del projecte / Link to your project website

https://bosomshield.eu/

Repte en que s’emmarca aquest projecte / Challenge within the framework of this project

2. Cancer: working with Europe’s Beating Cancer Plan to improve the lives of more than 3 million people by 2030 through prevention, cure and solutions to live longer and better

 

 

 

Coordinen:

Amb el suport de:

Amb el finançament de:

Aquest projecte està cofinançat pel programa de recerca i innovació Horizon Europe de la Unió Europea sota el projecte NitRecerCat2425 (101162003).

This project is co-funded by the European Union’s research and innovation programme Horizon Europe, under the project NitRecercat2425 (101162003).