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In this talk, I will focus on both Alzheimer and Parkinson's diseases and highlight the work I've completed combining genotype, gene expression data, disease pathology, and novel imaging method modalities.
As the amount of required data increases, there exists a need for an efficient systematic solution to store and analyze MS patient data, disease profiles, and disease tracking for both clinical and research purposes.
General demographic data, disease characteristics, scores on schizophrenia rating scales and agitation rating scales (e.g., Positive and Negative Syndrome Scale-Excited Component [PANSS-EC] and Behavioral Activity Rating Scale [BARS]) were collected.
Demographic data, disease features and detected MES between these groups were analyzed.
Further demographic data, disease classifications, co-morbidities, but also patients' marital statuses and education are listed in Additional file 1: Tables S1 and S2, respectively.
Pearson's correlation coefficient was calculated to test correlations between SSEP amplitudes or habituation and clinical data (disease duration, days with headache, duration of chronic headache).
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The patients will complete questionnaires that provide background data, disease-specific data, and generic data.
The patients were administered a questionnaire including questions relating to sociodemographic data, disease-related variables and the quality of life.
It included physiological data, disease-related variables (allogeneic bone marrow transplantation and recurrent or progressive cancer), and performance status before hospitalization.
Kaplan-Meier survival curves stratified according to the type of survival data (disease-specific death or distant metastasis) further confirmed the better prognosis of the predicted 'good-up' group.
Specifically, this registry will collect demographic data, disease-related data such as ILD subtype, treatments, diagnostic procedures (e.g., HRCT, surgical lung biopsy), risk factors (e.g., familial ILD), significant comorbidities, ILD managements, and disease outcomes as well as healthcare resource consumption.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com