CSFMC: PBMC ratio in TBM or Non-TBM cases with positive T-SPOT.TB results.

Figshare2015-12-03 更新2026-04-29 收录

数据链接：

https://figshare.com/articles/dataset/_CSFMC_PBMC_ratio_in_TBM_or_Non_TBM_cases_with_positive_T_SPOT_TB_results_/1597222 数据链接链接失效反馈

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CSFMC: PBMC ratio in TBM or Non-TBM cases with positive T-SPOT.TB results.

创建时间：

2015-12-03

Additional file 3 of Cerebrospinal fluid markers link to synaptic plasticity responses and Alzheimer’s disease genetic pathways

阿尔茨海默病

脑脊液生物标志物

Supplementary Material 3: Supplementary Table 2. Description of data: Detailed statistical results from between-group comparisons of synaptic marker concentrations in Aβ + groups relative to cognitive

Figshare2025-10-14 更新40

Meningitis, unspecified - Male, 66 - Tissue image [12030630017632581]

神经病理学

脑膜炎诊断

This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (

DataCite Commons2022-05-24 更新20

Comparison of the clinical and laboratory parameters in the definite TB meningitis (culture or PCR positive; n = 39) and non TB meningitis (n = 54) groups.

脑膜炎诊断

*We chose a 36 year and 6 day cut off as this was a significant discriminator.between acute septic and aseptic meningitis [9].BA (Black African), M (mixed race), E (European), I (Indian).P (positive),

Figshare2015-12-02 更新20

DataSheet_1_Cerebrospinal Fluid Findings in 541 Patients With Clinically Isolated Syndrome and Multiple Sclerosis: A Monocentric Study.pdf

多发性硬化症诊断

脑脊液生物标志物

BackgroundReports on typical routine cerebrospinal fluid (CSF) findings are outdated owing to novel reference limits (RL) and revised diagnostic criteria of Multiple Sclerosis (MS). ObjectiveTo assess

NIAID Data Ecosystem30

Diagnostic accuracy of prognostic parameters to discriminate bacterial from viral meningitis with the best predictive cut-offs.

脑膜炎诊断

诊断准确性研究

Diagnostic accuracy of prognostic parameters to discriminate bacterial from viral meningitis with the best predictive cut-offs.

NIAID Data Ecosystem20