Nicola Fusco, Director of the Division of Pathology at IEO European Institute of Oncology, shared a post on LinkedIn:
“Pathology is finally becoming a measurable and standardized data generator.
In our new commentary paper, we discuss the shift from traditional morphologic interpretation toward AI-enabled integration of morphology, molecular biology, and clinical data. We also highlight an important point for industry and healthcare systems: value comes from validated tools that address real workflow needs and biomarker challenges.
Next steps to be made:
- scalable quantitative biomarker assessment
- AI pre-screening and triage for molecular testing
- digital endpoints for clinical trials
- greater standardization across laboratories
- faster translation of pathology data into clinical evidence
The next phase of precision oncology will increasingly depend on how effectively pathology data are converted into actionable insight.”
Title: Computational Pathology as a Mechanistic Discipline: From Morphology to Molecular Data
Authors: Nicola Fusco, Konstantinos Venetis
Read the full article on IMR Press.
Other articles featuring Nicola Fusco on OncoDaily.