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1,471 results for “diseases therapy”
Microbiome-based biomarkers to guide personalized microbiome-based therapies for Parkinson's disease
<p><strong>Abstract: </strong>We address an unmet challenge in Parkinson’s disease: the lack of biomarkers to identify the right patients for the right therapy, which is a main reason clinical trials for disease modifying treatments have all failed. The gut microbiome is a new target for treatment of neurodegenerative diseases. Our aim was to develop microbiome-based biomarkers to guide patient selection for microbiome-based clinical trials. We used microbial taxa that are robustly associated with PD across studies and at high significance as dysbiotic features of PD. Using individual-level taxonomic relative abundance data, we classified patients according to their dysbiotic features, effectively defining microbiome-based subtypes of PD. We show that not all persons with PD have a dysbiotic microbiome, and not all dysbiotic PD microbiomes have the same features. Grounded in robust and reproducible data from differential abundance studies, we propose an intuitive and easily modifiable method to identify the optimal candidates for microbiome-based clinical trials, and subsequently, for treatments that are personalized for each individual’s dysbiotic features. We demonstrate the method for PD. The concept, and the method, is generalizable for any disease with a microbiome component.</p> <p><strong>Zenodo</strong> <strong>content: </strong>In this Zenodo archive we provide (a) the method described step by step, which can be implemented in Microsoft Excel (we used v.16.84 (RRID:SCR_016137) <a href="https://www.microsoft.com/en-gb/">https://www.microsoft.com/en-gb/</a>) or in R (we used v4.3.3 (RRID:SCR_001905) <a title="https://www.r-project.org/ Cmd+Click or tap to follow the link" href="https://www.r-project.org/">https://www.r-project.org/</a>); and (b) data used to generate the results, tables and figures (except figure 2). Data for creating figure 2 can be found in source data (doi: 10.5281/zenodo.7246185) and the method is described by Wallen et al 2022 (DOI: <u><a href="https://doi.org/10.1038/s41467-022-34667-x" target="_blank" rel="noopener">10.1038/s41467-022-34667-x</a></u>). All data used here were extracted from the original source data reported by<strong> </strong>Wallen et. al. 2022 (DOI: <u><a href="https://doi.org/10.1038/s41467-022-34667-x" target="_blank" rel="noopener">10.1038/s41467-022-34667-x</a></u>) which can be found on Zenodo (DOI: 10.5281/zenodo.7246185).</p>
Datasets corresponding to "Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets"
<p><strong>Datasets corresponding to "Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets"</strong></p> <p><strong>02_CNN_PhenotypeClassif.7z</strong></p> <p>CNN Phenotype classification. Model was trained using AIDeveloper. using manually labelled data. Labelled Data is contained in folder "03_GatedData". The AIDeveloper session file in "02_Model\M10_Nitta6l_32pix_8class_meta.xlsx" shows, which files correspond to which subpopulation. The final model "M10_Nitta6l_32pix_8class_448.model" and corresponding .pb files are also located in that folder.</p> <p><strong>codeforclassification.zip</strong></p> <p>Code for applying model on unlabelled data. Test data is contained in 'sampledata.zip'</p> <p> </p> <p> </p> <p> </p>
Adapting Clinical Practice Guidelines for Chronic Kidney Disease: Blood Pressure Management and Kidney Replacement Therapy in Adults and Children in the Saudi Arabian context using the GRADE-ADOLOPMENT methodology
<p>This compressed ZIP file includes three components</p> <p>The Full Guideline Document (FINAL COPY) for the <strong>2022 Saudi Guideline for Chronic Kidney Disease: Blood Pressure Management and Kidney Replacement Therapy in Adults and Children</strong></p> <p>In addition to two guideline reporting checklists to ensure the quality of this adoloped guideline:-</p> <p><strong>1- AGREE Reporting Checklist</strong></p> <p><strong>2- RIGHT-Ad@pt Checklist</strong></p> <p>As a supplementary to the submitted article entitled:_</p> <p><strong>Adapting Clinical Practice Guidelines for Chronic Kidney Disease: Blood Pressure Management and Kidney Replacement Therapy in Adults and Children in the Saudi Arabian context using the GRADE-ADOLOPMENT methodology</strong></p>
Study of orBec® With Prednisone Therapy in the Treatment of Patients With Graft Versus Host Disease (GVHD)
ClinicalTrials.gov study NCT00926575. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Sargramostim, Vaccine Therapy, or Sargramostim and Vaccine Therapy in Preventing Disease Recurrence in Patients With Melanoma That Has Been Removed By Surgery
ClinicalTrials.gov study NCT01989572. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Physical Therapy and Deep Brain Stimulation in Parkinson Disease
ClinicalTrials.gov study NCT03181282. IPD Sharing: NO. Countries: 1. Publications: 1.
A Double-blind Comparative Study of the Efficacy and Safety of E3810 10mg Once and Twice Daily in Maintenance Therapy for PPI Resistant Gastroesophageal Reflux Disease Patients
ClinicalTrials.gov study NCT02135107. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Anti-viral Therapy in Alzheimer's Disease
ClinicalTrials.gov study NCT03282916. IPD Sharing: NO. Countries: 1. Publications: 2.
A Study of Eliglustat Tartrate (Genz-112638) in Patients With Gaucher Disease Who Have Reached Therapeutic Goals With Enzyme Replacement Therapy (ENCORE)
ClinicalTrials.gov study NCT00943111. IPD Sharing: Not stated. Countries: 12. Publications: 7.
Trial in Extensive-Disease Small Cell Lung Cancer (ED-SCLC) Subjects Comparing Ipilimumab Plus Etoposide and Platinum Therapy to Etoposide and Platinum Therapy Alone
ClinicalTrials.gov study NCT01450761. IPD Sharing: Not stated. Countries: 34. Publications: 1.
Efficacy and Safety of BIIB033 (Opicinumab) as an Add-on Therapy to Disease-Modifying Therapies (DMTs) in Relapsing Multiple Sclerosis (MS)
ClinicalTrials.gov study NCT03222973. IPD Sharing: Not stated. Countries: 15. Publications: 3.
Comparison of Two- Versus Three-antibiotic Therapy for Pulmonary Mycobacterium Avium Complex Disease
ClinicalTrials.gov study NCT03672630. IPD Sharing: YES. Countries: 2. Publications: 18.
Flexible-Dose, Adjunctive Therapy Trial in Adults With Parkinson's Disease With Motor Fluctuations (TEMPO-3)
ClinicalTrials.gov study NCT04542499. IPD Sharing: Not stated. Countries: 14. Publications: 0.
Safety Study of Cell Therapy to Treat Chronic Obstructive Pulmonary Disease
ClinicalTrials.gov study NCT01110252. IPD Sharing: Not stated. Countries: 1. Publications: 2.
A Multicenter Open-Label Treatment Protocol to Observe the Safety of Replagal (Agalsidase Alfa) Enzyme Replacement Therapy in Canadian Patients With Fabry Disease
ClinicalTrials.gov study NCT01298141. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Cholecalciferol (Vitamin D3) Therapy in Chronic Kidney Disease (CKD) Subjects
ClinicalTrials.gov study NCT00427037. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Changes in Health and Functional Status in Patients With Chronic Obstructive Pulmonary Disease During Therapy With Spiolto® Respimat® (AERIAL®)
ClinicalTrials.gov study NCT03165045. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Pegylated Interferon Alfa-2a Maintenance Therapy and Liver Disease Progression in People Infected With Both HIV and Hepatitis C Virus (HCV)
ClinicalTrials.gov study NCT00078403. IPD Sharing: Not stated. Countries: 2. Publications: 12.
Transcranial Magnetic Stimulation and Constraint Induced Language Therapy for Alzheimer Disease
ClinicalTrials.gov study NCT04482179. IPD Sharing: NO. Countries: 1. Publications: 42.
The Efficacy of Low Dose Naltrexone Therapy in Children With Crohn's Disease
ClinicalTrials.gov study NCT00715117. IPD Sharing: Not stated. Countries: 1. Publications: 3.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.