Nicola Fusco, Director of the Division of Pathology at IEO European Institute of Oncology, shared a post on LinkedIn about a recent article he and his colleagues co-authored, adding:
“‘Computational pathology in breast cancer: optimizing molecular prediction through task-oriented AI models.’
Just before Christmas, a new article from our group is out in npj Breast Cancer.
In this work, we reflect on where AI in breast cancer pathology is heading for real: less hype on huge algorithms, more clinically focused, explainable, and deployable models.
From biomarker prediction to real-world integration, we advocate for task-oriented AI that genuinely supports pathologists and oncologists.
Proud of the team behind this work.
A meaningful way to close the year, a solid starting point for what comes next.”
Title: Computational pathology in breast cancer: optimizing molecular predictionthrough task-oriented AI models
Authors: Chiara Frascarelli, Konstantinos Venetis, Antonio Marra, Alberto Concardi, Marianna D’Ercole, Elisa Mangione, Mariachiara Negrelli, Francesca Maria Porta, Sakshi Keswani, Giuseppe Curigliano, Elena Guerini-Rocco, Nicola Fusco
Read the Full Article on NPJ Breast Cancer
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