Oncology Large Language Models are becoming a growing area of focus for healthcare organizations. Reply and the European Institute of Oncology (IEO) have now joined forces to explore how specialized AI models can support oncology-related work.
The collaboration brings together Reply’s experience in generative AI and IEO’s clinical expertise. Both sides will work with healthcare data and medical knowledge to develop models suited to complex oncology environments.
For now, attention is on defining the use cases that will shape the program. Clinical professionals at IEO are working alongside Reply specialists to identify priorities and evaluate available data resources. They are also reviewing which datasets offer the strongest foundation for training future models.
Breast oncology, urologic oncology, and prevention have been selected as the first areas of study. Team examining diagnostic images, clinical reports, structured datasets, and other relevant information connected to those specialties.
Early Work Focuses on Training and Clinical Applications
Once the evaluation phase concludes, attention will turn to model training. The organizations then expect to introduce the resulting solutions into clinical environments. Their goal is to support prevention, diagnosis, and treatment with technology built specifically for oncology settings.
The initiative is among the first projects developed through Reply Model Factory. The platform enables organizations to create generative models based on enterprise knowledge while maintaining oversight of data, processes, and outcomes.
“At the IEO, artificial intelligence is not simply a technology; it is a valuable ally to medicine,” said Annarosa Farina, Director of Information Systems, IEO Monzino Group. “It helps accelerate research, diagnosis and treatment by enabling us to interpret the complexity of cancer through the analysis of large volumes of clinical and scientific data. This can lead to faster decisions, more personalised therapies and new opportunities for patient care.”
Reply believes demand will continue to grow for AI systems trained on organization-specific expertise and data. The work with IEO reflects that view and concentrates on practical oncology applications rather than broad, general-purpose models.
“As Generative AI becomes increasingly integrated into decision-making and operational processes, real value will come from models built on each organisation’s own knowledge, data and expertise. Our collaboration with IEO is designed to bring these elements together and create the conditions for training domain-specific Large Language Models capable of supporting concrete application scenarios,” said Carlo Malgieri, Partner at Laife Reply.
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News Source: Businesswire.com
