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Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

open access: yesAdvanced Intelligent Systems, EarlyView.
Early diagnosis and prognosis prediction of central nervous system infections are critical. This study introduces a deep‐learning model utilizing cerebrospinal fluid immune‐cell morphology captured via 3D holotomography. The model effectively predicts infection etiology and prognosis, achieving high accuracy.
Bo Kyu Choi   +5 more
wiley   +1 more source

Case Report: Unusual Neurological Features of Leigh Syndrome due to m.8993T>G Pathogenic Variant in the MT‐ATP6 Gene

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT The MT‐ATP6 gene m.8993T>G pathogenic variant has been associated with Leigh syndrome, especially in patients exhibiting a high degree of heteroplasmy. Although patients may present with a wide phenotypic spectrum, characteristic findings include bilateral, symmetric hyperintensities in the basal ganglia and brainstem on brain MRI ...
Ramya Treitel   +2 more
wiley   +1 more source

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