Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?
Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.
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