University Magna Graecia Reports Findings in Progressive Supranuclear Palsy (Com bined blood Neurofilament light chain and third ventricle width to differentiate Progressive Supranuclear Palsy from Parkinson’s Disease: A machine learning stu dy)

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外文摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - New research on Neurodegenerative Diseases and Co nditions - Progressive Supranuclear Palsy is the subject of a report. According to news reporting originating from Catanzaro, Italy, by NewsRx correspondents, r esearch stated, “Differentiating Progressive Supranuclear Palsy (PSP) from Parki nson’s Disease (PD) may be clinically challenging. In this study, we explored th e performance of machine learning models based on MR imaging and blood molecular biomarkers in distinguishing between these two neurodegenerative diseases.”

外文关键词：

CatanzaroItalyEuropeAlgorithmsBa sal Ganglia Diseases and ConditionsBiomarkersBrain Diseases and ConditionsCentral Nervous SystemCentral Nervous System Diseases and ConditionsCerebral VentriclesCyborgsDiagnostics and ScreeningEmerging TechnologiesHealth a nd MedicineMachine LearningMovement DisordersNervous System Diseases and C onditionsNeurodegenerative Diseases and ConditionsNeurologyParkinson’s Dis easeParkinsonian DisordersProgressive Supranuclear PalsySupranuclear PalsyThird Ventricle

出版年：

2024

Robotics & Machine Learning Daily News

ISSN：

年,卷(期)：2024.(MAY.14)