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203 studies found
OncoTrack
OncoTrack attempts to address the core problems of drug-based cancer therapies: the low response rate of patients to their therapies, as well as its inevitable consequence, the low approval rates of oncology drugs. Only about 10% of cancer drug candidates entering clinical development are granted marketing authorization. Our program is based on two seminal developments: significant progress in our ability to analyze the molecular characteristics of individual tumors and patients (predominantl...
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P2N ADPSOKO
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PRECISESADS
The goal of this project is to use the power of OMICs, and bioinformatics to identify new classifications for diseases known to share common pathophysiological mechanisms. Such knowledge has not been applied to individual patients, depriving them of potential benefits in terms of the use of new therapeutic agents that are being developed for one disease but cannot be applied in another, due to current clinical classifications. We will investigate individuals with systemic lupus erythematosus ...
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Parkinson's disease vs. controls, whole blood
Whole blood expression data from 50 patients with Parkinson's disease, 33 with neurodegenerative diseases other than PD, and 23 healthy controls.
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Post-therapeutic relapse of psoriasis associated wit...
To determine the transcsriptome of skin samples in 4 responding patients who relapsed after receiving efalizumab for treatment of psoriasis, using paired baseline non-lesional (=NL, n=2); lesional (LS, n=4);week 12 post-treatment (week 12, n=4), and relapse (n=4).
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Prediction of acute multiple sclerosis relapses by t...
Data-mining and predictive modeling tools were utilized to analyze a gene-expression dataset of 94 non-treated patients; 62 patients with definite MS and 32 patients with clinically isolated syndrome (CIS). The dataset included the expression levels of 10,594 genes and annotated sequences corresponding to 22,215 gene-transcripts that appear in the microarray. We designed a two stage predictor. The first stage predictor was based on the expression level of 10 genes, and predicted the time to n...
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