Ultrasound imaging is rapidly evolving into a quantitative modality for tissue characterization—poised to shift diagnostics from specialized imaging suites to scalable, point-of-care platforms. By harnessing the rich information embedded in raw ultrasound signals, we can extract objective biomarkers of tissue composition that support both early diagnosis and longitudinal monitoring of high-burden diseases. In this talk, I will present our work on multimodal ultrasound technologies that combine wave physics, quantitative imaging, and artificial intelligence to analyze tissue composition and dynamics.

Clinical applications include the early detection of fatty liver disease, the longitudinal monitoring of cancer-related tissue changes, and the assessment of muscle quality in sarcopenia—each essential for decision-making in metabolic disease, oncology, and aging care. Our approach integrates acoustic biomarkers with data-driven models to detect subtle microstructural changes, moving beyond conventional visual interpretation. This research is embedded in a strong translational ecosystem, involving hospitals, ultrasound manufacturers, and start-ups, and leverages large-scale clinical datasets to accelerate the development of AI-powered solutions for real-world deployment at the point of care.

Speaker:

• Sergio J. Sanabria, PhD. Director of Science, Research and Development – Oncoustics Inc.

Wednesday, April 30th, 2025
12:30 h

Place: seminario del I3A, Campus Rio Ebro (Edificio Institutos, 2ª Planta)