Pi’sconsultants have analytical capabilities for problem solving in the Biotechnology industry for meta-data analyses in genomics, proteomics, and evolutionary biology. We are active in pharmaceutical data mining for drug impact and indvidualized patient treatment optimzation, as well as manufacturing quality control. The Pi analytical team is complemented by electonics engineers, physicians, and biotechnologists to effectively meet the analysis demands in emerging hybrid Bio/MEMs technology research.
Manufacturing Quaity Control
Drug Efficacy Analysis
Pharmacometrics
A partial listing of the Biotech/Pharmaceutical analysis applications that our consultants address include:
Bioinformatics and Computational Biology
Functional Genomics for genomic marker discovery/qualification for
Drug responsiveness
Pathology classification
ID of new therapeutic targets
Pattern Analysis of Microarray experimentation
Pharmacogenomics
Drug side effect reduction analysis
Drug customization analysis
Genomic biomarker analysis for optimal patient treatments
Proteomics for drug discovery/development
Quantitative characterization analysis of protein biomarkers
Prediction modeling of drug action and toxicity
Clinical proteomics
Patient tailored treatment therapy modeling
Modeling for discovery of protein pathways
Prediction modeling of drug impact on target and whole network
