Addressing the Challenges of Drug Discovery & Development
Pharmaceutical and biotechnology companies face mounting pressure to expedite delivery timelines in order to maximize the commercial value of their products. In the wake of high-profile product recalls, the pharmaceutical industry has also been responding to increased FDA emphasis on pharmacovigilance (detection, assessment and prevention of adverse events of medicines). Tools exist today for automating data collection and management, streamlining operational processes, and proactively monitoring drugs to identify and respond to unforeseen adverse interactions and outcomes. The missing piece for researchers, until now, has been the ability to build a holistic model of high-dimensional data, spanning multiple (dense) datasets, to identify meaningful correlations.
Cognika Solution
The power of Cognika’s approach lies in its ability to holistically model high-dimensional data across multiple datasets, in real-time, as opposed to modeling them in isolation via batch processing. This highly efficient machine-learning approach allows users to start with a simple question to find the most probable hypotheses – not the other way around. Using Cognika ESP, life sciences companies can now leverage the full ROI from their data, their staff and their systems.
Recent examples in the area of genomic and proteomic research include:
- Analysis of DNA Micro-array data (static and temporal)
- Chromatographic analysis of data
Cognika ESP can also be used to model, simulate and analyze clinical trial data in real-time during the course of a trial, as well as retrospectively after completion. This dynamic solution allows mid-course corrections or early stop decisions, helping researchers avoid designing and conducting a trial of limited value. This flexible solution is also ideally suited for adaptive clinical trial design.
Within the area of clinical research, Cognika solutions address:
- Data analysis and prediction (Phase I through IV)
- Analysis of trial and longitudinal data
- Optimized clinical trial design
- Simulation of clinical trials
- Post-market studies and analysis for product safety and efficacy
Cognika also provides custom applications and API modules for its CRO (Clinical Research Organizations) and bio-pharmaceutical customers. In addition, Cognika provides Web-based data entry and management, and analytics biologic hypothesis generation for clinical trials and post-market studies.