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The first Agentic platform for Oncology
We help oncologists and radiologists extract insights from CT scans to support tumor characterization and treatment. The hospitals we work with include Stanford Hospital, Cedars-Sinai, UCI Health, and Weill Cornell.
Angelica Iacovelli is the CEO and co-founder of Nucleo. Previously, she was a researcher at Stanford University, where she worked on cardiovascular modeling, simulating blood flow dynamics using GNNs, LSTMs, and Transformers. The models are now part of NVIDIA’s scientific libraries. She holds BS+MS in Mathematical Engineering from Politecnico di Milano and completed a research exchange at IIT Madras.
I am a researcher in Applied Mathematics and AI for healthcare by training. I hold degrees from Politecnico di Milano, Italy (BSc) and EPFL, Switzerland (MSc and PhD), and have conducted research at the Stanford School of Medicine during my PhD and as a Postdoc. Before founding Nucleo, I was part of Apple Health AI, where I worked on physics-informed machine learning. I've published papers on computational methods, cardiovascular system modeling, and AI for medical images and optical sensors.
We help oncologists and radiologists extract insights from CT scans to characterize and treat tumors.
Nucleo creates AI-powered software that automatically extracts oncological metrics from CT scans (e.g., sarcopenia, body composition, lesion volume, target vs. non-target classification) to speed up workflow for oncologists and radiologists. The launch presents the product as a faster, automated alternative to manual segmentation with validated agreement to experts and aims to shorten diagnostic-to-treatment timelines.
Cancer screening without barriers
AI and Data for Cancer Therapeutics
