The Computer-Human Machine Interaction Laboratory (CHILab) conducts research on the application of artificial intelligence (AI) and innovative technologies to human health and life sciences. CHILab is focused on multidisciplinary research, with the aim of developing intelligent solutions to emerging challenges in healthcare, biotechnology and pharmaceuticals. Principal research lines spread towards Big Data infrastructures for precision medicine with integration of genomic and chemical data and extension of the DICOM standard for transparent integration of AI models into PACS systems, and distributed models based on Federated Learning. In addition, contributions in Natural Language Processing field include Retrieval Augmented Generation architectures enriched with structured domain knowledge, while explainable AI techniques are investigated and involved for drug discovery and repositioning tasks.

Ammirata, G., Contino, S., Cruciata, L., Siragusa, I., Pirrone, R. (2025). Advances in AI for Health and Medicine @ Computer-Human Interaction Laboratory (CHILab). In L. Manzoni, L. Bortolussi, G. Cisotto, F. Anselmi (a cura di), Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, organized by CINI (Ital-IA 2025). CEUR-WS.

Advances in AI for Health and Medicine @ Computer-Human Interaction Laboratory (CHILab)

Germano Ammirata;Salvatore Contino
;
Luca Cruciata;Irene Siragusa;Roberto Pirrone
2025-12-07

Abstract

The Computer-Human Machine Interaction Laboratory (CHILab) conducts research on the application of artificial intelligence (AI) and innovative technologies to human health and life sciences. CHILab is focused on multidisciplinary research, with the aim of developing intelligent solutions to emerging challenges in healthcare, biotechnology and pharmaceuticals. Principal research lines spread towards Big Data infrastructures for precision medicine with integration of genomic and chemical data and extension of the DICOM standard for transparent integration of AI models into PACS systems, and distributed models based on Federated Learning. In addition, contributions in Natural Language Processing field include Retrieval Augmented Generation architectures enriched with structured domain knowledge, while explainable AI techniques are investigated and involved for drug discovery and repositioning tasks.
7-dic-2025
Ammirata, G., Contino, S., Cruciata, L., Siragusa, I., Pirrone, R. (2025). Advances in AI for Health and Medicine @ Computer-Human Interaction Laboratory (CHILab). In L. Manzoni, L. Bortolussi, G. Cisotto, F. Anselmi (a cura di), Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, organized by CINI (Ital-IA 2025). CEUR-WS.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/703117
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