Genoox Research Applications
Clinical Trials Optimization >
Diagnostics (CDx) >
Clinical Trials Optimization
One of Pharma’s greatest pain points is managing clinical trials efficiently. Genoox optimizes the design, planning and enrollment of clinical trials – stratifying participants based on genomic profiles and observed therapeutic response, using specific gene panels as well as a whole exome or genome sequencing. Our platform users can locate participants based on precise cohort specifications, such as the presence or absence of a genetic mutation, and generate evidence-based data which stands up to the rigors of prospective clinical trials.
Genoox helps life sciences researchers identify variants that are significant drivers of disease and that can potentially impact toxicity and efficacy for individual patients. We take into account complex family pedigrees and enable advanced prediction of disease progression -ultimately accelerating regulatory approval by focusing first on sub-populations with specific genetic dispositions.
We are witnessing a steady growth in the number of regulatory approvals for therapies linked to companion diagnostic assays in oncology and other disease areas. Today, these CDx assays are typically used in a centralized model in which healthcare institutions lose access to their samples and data, hence can suffer from poor turnaround times due to logistical issues. We believe that in the future CDx assays will become increasingly decentralized which will drive further testing uptake at scale and enable faster turnaround times. We offer strategic and operational support for biopharma CDx programs. Biopharma customers can leverage our capabilities to develop genomic variant detection and identification solutions with high accuracy and precision, as well as our ability to decentralize such CDx solutions at scale through our decentralized platform.
Genoox enables drug developers and clinicians to screen patients for marketed and in-development targeted therapies by examining complex correlations within and between analysis groups comprising diverse patients and samples.
Fully customizable pipeline for biological research
Utilizing a wholly modular system that enables selection of tools critical to maximizing the efficiency and accuracy of your NGS pipeline
The next level of alignment processes
Applying proprietary ultra-sensitive statistical modeling that draws from diverse sources to increase detection of structural variants and SNP mutations
Reach all available data
Aggregating and frequently updating information from published research, new and existing archives, and curated and uncurated databases with algorithms optimized daily and data constantly enriched by our ever-growing community
Use only relevant data
Prioritizing based on advanced collective metrics and scoring methods to filter out ‘noise’ and highlight evidence crucial to decision making
Optimize historical data
Developing a durable genomic data repository that can be queried against variant statistics, subjected to linkage assessment, and analyzed for ongoing disease studies and clinical trial recruitment