DEVELOPMENT OF AN AUTOMATED MRI-BASED DIAGNOSTIC PROTOCOL FOR AMYOTROPHIC LATERAL SCLEROSIS USING DISEASE-SPECIFIC PATHOGNOMONIC FEATURES: A QUANTITATIVE DISEASE-STATE CLASSIFICATION STUDY.

Development of an Automated MRI-Based Diagnostic Protocol for Amyotrophic Lateral Sclerosis Using Disease-Specific Pathognomonic Features: A Quantitative Disease-State Classification Study.

Despite significant advances in quantitative neuroimaging, the diagnosis of ALS remains clinical and MRI-based biomarkers are not currently used to aid the diagnosis.The objective of this study is to develop a robust, disease-specific, multimodal classification protocol and validate its diagnostic accuracy in independent, early-stage and follow-up

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Neonatal Dengue- A Case Series

Dengue is one of the commonest arboviral infections seen in children but in neonates, it is a disregarded entity.It can be acquired either through vertical (transplacental) or horizontal transmission (mosquito bite).It usually presents with fever, lethargy, poor feeding, and thrombocytopenia which can be accompanied by hepatosplenomegaly, transamin

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Comparison of depression and anxiety symptom networks in reporters and non-reporters of lifetime trauma in two samples of differing severity

Background: Reported trauma is associated with differences in the course and outcomes of depression and anxiety.However, no research olea europaea montra has explored the association between reported trauma and patterns of clinically relevant symptoms of both depression and anxiety.Methods: We used network analysis to investigate associations betwe

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