AI Links Brain Data to Symptoms, Aims to Cut Misdiagnoses
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New AI model links symptoms in medical summaries to brain tissue data, providing insights into disease progression and common misdiagnoses.
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Model analyzed data from over 3,000 Netherlands Brain Bank donors, identifying 90 different symptoms across 5 domains.
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Aims to create a "molecular atlas" of brain diseases to enable targeted therapies and accurate lifetime diagnoses.
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Identified subgroups of disorders that are frequently misdiagnosed due to atypical symptoms.
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Has potential to significantly reduce misdiagnoses, which currently affect up to 30% of neurological disease cases.