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AI-driven MRI analysis improves accuracy in distinguishing Parkinsonian disorders

University of Florida researchers have led a multicenter study demonstrating that Automated Imaging Differentiation for Parkinsonism (AIDP), a machine-learning method using magnetic resonance imaging (MRI), accurately distinguishes Parkinson’s disease (PD) from atypical parkinsonian disorders. Findings suggest this approach could significantly improve diagnostic precision and clinical care.

Surprisingly, some Dyson spheres and ringworlds can be stable

In the realm of science fiction, Dyson spheres and ringworlds have been staples for decades. But it is well known that the simplest designs are unstable against gravitational forces and would thus be torn apart. Now a scientist from Scotland, UK has shown that certain configurations of these objects near a two-mass system can be stable against such fractures. The work is published in the journal Monthly Notices of the Royal Astronomical Society.