ELLIIT Funds New Research Project in Applied Health Technology: Machine Learning for High-Dimensional Proteomics (Project F8) We are pleased to announce that the project “New Machine-Learning Methods for High-Dimensional, Population-Scale Proteomics” (Project F8) has been selected for funding within ELLIIT Call F. The initiative is led by: The project brings together methodological expertise in machine […]
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This project centers on the diagnosis and monitoring of health conditions that impact patients’ vocal characteristics, including Neurocognitive disorders (NCDs) (signifying cognitive decline), pulmonary disorder (COPD), and heart failure conditions (HF). By utilizing longitudinal voice recordings paired with medical data, we aim to create mathematical vocal characteristics, distance metrics, and machine learning methodologies that are […]
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