Artificial Intelligence

One of the central goals of UPIBI is to make artificial intelligence and machine learning accessible and practical for researchers and clinicians across the biomedical spectrum. To support this, we have developed user-friendly platforms that automate complex machine learning tasks, enabling non-experts to incorporate AI into their work with ease. On the clinical front, our Applied Predictive Analytics team creates models that support real-time decision-making in healthcare environments, helping providers and patients benefit from data-driven insights.

Looking for AI support? Visit our AI Collaboratory.

Artificial Intelligence projects include:

AutoLearn

AutoLearn is a lightweight AI system designed to simplify machine learning workflows such as classification and regression through automated modeling. It enables researchers to analyze data without needing deep technical expertise in artificial intelligence.

CarePredict

CarePredict is a clinical analytics platform developed by UPIBI’s Applied Predictive Analytics team to deliver real-time decision support using machine learning. These tools are designed to integrate seamlessly with healthcare systems and assist clinicians in improving outcomes through predictive modeling.