New AI Model Diagnoses Five Brain Disease from One Blood Test
The model used protein patterns from more than 17,000 people and outperformed clinical diagnosis in predicting cognitive decline, researchers said.
7 Articles
7 Articles
A deep joint-learning proteomics model for diagnosis of six conditions associated with dementia - Nature Medicine
Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, specific and scalable biomarkers for in vivo pathological diagnosis are not available for most neurodegenerative neuropathologies. Here we present Proteomics-based Artificial Intelligence for Dementia Diagnosis (ProtAIDe-Dx), a deep joint-learning model on 17,187 patients and controls (age of 70.3 ± 11…
New AI model can detect multiple cognitive brain diseases from a single blood sample
The symptom profiles of different neurodegenerative diseases often overlap, and diagnosing age-related cognitive symptoms is complex. A patient may have multiple overlapping disease processes in the brain at the same time. Now, researchers at Lund University in Sweden have developed an AI model showing that it is possible to detect several neurodegenerative diseases from a single blood sample. The study is published in Nature Medicine.
AI model can detect multiple cognitive brain diseases from a single blood sample
The symptom profiles of different neurodegenerative diseases often overlap, and diagnosing age-related cognitive symptoms is complex. A patient may have multiple overlapping disease processes in the brain at the same time, for example, Alzheimer's disease and Lewy body disease, especially in the early stages of cognitive decline. Now, researchers at Lund University have developed an AI model showing that it is possible to detect several neurodeg…
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