AI Speech Model Detects Neurological Disorders With 92% Accuracy
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A new AI framework can detect neurological disorders by analyzing speech with over 90% accuracy. The model, called CTCAIT, captures subtle patterns in voice that may indicate early symptoms of diseases like Parkinson’s, Huntington’s, and Wilson disease.
The number of doctors and experts that bridge the gap between university research and the NHS – translating discoveries into patient care – is "ageing and shrinking", the Academy of Medical Sciences has warned.
The UK's life sciences industry generated £146.9bn in…
A new machine learning tool developed by researchers at the Queensland Institute of Medical Research Berghofer can help pathologists identify subtle cancer biomarkers in standard tissue samples.
The tool, called STimage, applies spatial analysis to hematoxylin and eosin-stained (H&E) tissue…
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