One of Venebio’s key strengths is delivery of leading-edge computational solutions using high-throughput biological data for disease understanding, biomarker development and other contemporary challenges encountered in life-sciences research.
Health informatics focus areas include:
- Large-scale database study design and analysis
- Biostatistics and statistical epidemiology
- Modeling and algorithm development
- Systems biology
- Statistical genetics
- Predictive analytics
- Genome-wide association studies (GWAS)
- Analysis of multi-platform “pan-omic” data
Representative Projects Include:
Validated and continued development of a clinical decision support system for statin prescribing via analysis of electronic medical records for 20 million patients.
Developed a multi-platform approach for cancer biomarker discovery, analysis, and validation.
Leveraged analysis of lipidomic, metabolomic, and microbiomic data for discovery of biomarkers that predict treatment response and advance understanding of mechanisms that underlie various liver diseases.
Developed a patent-pending clinical decision support system to reduce the risk of opioid-related overdose events.
Completed a pharmacoepidemiologic study and high-throughput data analysis of three million prescription records to evaluate the impact of calendarized medication packaging adherence.
Executed data analytics for post-market products to demonstrate efficacy, safety, and cost-effectiveness.
Conducted a proteomic, metabolomic, genomic, epigenomic, transcriptomic, and first-ever phenomic analysis of smokers with and without COPD for biomarker discovery.
Co-developed five bioinformatics tools for image analysis, and integrated analysis workflow management, data mining and laboratory information management.
Co-developed an algorithm and software for the assembly of physical maps of chromosomes using combined data from fingerprinting and hybridization experiments.
What Our Clients Say:
Over the course of our 18-month project, Venebio provided valuable consulting services to my clinical team in the areas of statistical analysis, data management, and database development. We have always been very satisfied with the work they have done, and are especially appreciative of their willingness to meet some very aggressive timelines.Paul J. Fudala, PhD, RPh, Global Clinical Development Director, Indivior, Inc.