AI Center for Health: AI-based solutions for better Healthcare

How to turn data into knowledge? A Research team of data scientists, doctors and digital experts working side by side, sharing assets and knowledge with a multidisciplinary approach.

discover our MISSION

2019

year of foundation

30+

ongoing projects

70+

publications

Featured Projects

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SYNTHIA: Synthetic Data Generation Framework for Integrated Validation of Use Cases and AI Healthcare Applications

SYNTHIA is a pioneering public-private partnership funded by the Innovative Health Initiative (IHI), aiming to revolutionize personalized medicine through the responsible use of synthetic data (SD).

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SYNTHEMA

Haematological diseases (HDs) encompass a wide range of disorders arising from quantitative or qualitative abnormalities in blood cells, lymphoid organs, and coagulation factors.

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GenoMed4All: Genomics For Next Generation Healthcare

GenoMed4All is a European initiative aimed at transforming the diagnosis, treatment, and prediction of haematological diseases by harnessing the power of Artificial Intelligence (AI).

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Mining information from clinical texts by looping the experts in the training process

This project focuses on developing an advanced NLP framework to unlock insights from unstructured clinical text within Electronic Health Records (EHR).

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Identification of Artificial Intelligence-Based Biomarkers to Predict HCC Response to Medical Treatment

Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and one of the deadliest cancers worldwide.

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Adaptive Anomaly detection: Application to brain metastases

This project explores the use of visual language models for anomaly detection in medical applications.

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Humanitas Research Hospital is a highly specialized teaching and research hospital. It combines specialized centers for the treatment of cancers, cardiovascular diseases, neurological and orthopaedic disorders, as well as an Ophthalmology Center and a Fertility Center. The Hospital is also equipped with Emergency and Radiotherapy areas, and is also home for HUNIMED, Humanitas University.

AI Center for Health is a growing team of data scientists, doctors, digital experts and managers working together, shaping the future of care and research. Strategically located within Humanitas complex near Milan, the AI Center is built to improve diagnostic processes and to give decision-making support for doctors, reducing the costs in terms of time and money for the management and improving the overall quality of the patient’s journey. Our expertise includes, but is not limited to, the areas of Data Science and Omics, Computer Vision, Natural Language Processing and Generative AI.

Focal Areas

Computer Vision applications

Computer vision enables AI systems to interpret and analyze medical images and videos, playing a crucial role in modern healthcare. At the AI Center for Health, we work with diverse imaging modalities, including radiology (MRI, CT, X-ray), histopathology, microscopy, and endoscopy videos, to develop AI-powered tools for clinical decision support. Our models tackle key tasks […]

Data Science & Omics

Data Science in healthcare leverages advanced analytics and AI to extract meaningful insights from vast amounts of medical data. At the AI Center for Health, we integrate diverse data sources, including clinical records, imaging-related information, and omics data (e.g. genomics, transcriptomics, proteomics), to drive cutting-edge research and innovation. Our expertise lies in developing machine learning […]

NLP & Language Models

Natural Language Processing (NLP) enables AI to understand, process, and extract valuable insights from medical text, making it a critical tool in healthcare. At the AI Center for Health, we leverage NLP to analyze vast amounts of unstructured data from Electronic Health Records (EHRs), clinical notes, radiology reports, and scientific literature. This helps transform hidden […]

Synthetic Data Generation

Synthetic data, created using AI models, mimics real-world patient data while preserving privacy, enabling secure data sharing for open research. At the AI Center for Health, we use generative AI technologies to generate realistic datasets for training AI models, creating synthetic control arms for clinical trials, and developing digital twins to simulate patient responses for […]