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Researchers have used machine learning to identify two main types and five subgroups of Parkinson’s disease, revealing that the condition is far more biologically diverse than previously understood. The discovery could help explain why treatments work differently for different patients and may lead to more personalised therapies in the future. Scientists also believe the same approach could improve understanding and treatment of other complex diseases.
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