Empowering Precision Medicine Development through Analytics, Machine Learning and AI
To accelerate the discovery and development of the next-generation therapies, it is important to efficiently incorporate the outcomes of translational research into clinical studies, while transferring scientific insights from the clinic to the bench to guide further laboratory research. The goal of exploratory and translational clinical research is thereby to increase the probability of success of clinical trials by enabling the understanding and prediction of drug mechanism of action, potential side effects, and patient response to treatment.
This approach presents significant logistical and technical challenges. Firstly, bioinformaticians, statisticians, and data scientists need to find the right data from within or across clinical and pre-clinical studies, stored in different locations and data management systems. Once they do find the relevant data, they may not have permission to access it, since clinical data contains sensitive patient information. It is also common that the available data is not in the appropriate format, thus requiring transformation prior to analysis. After the data has been collected from different sources, processed, and harmonized, scientists need to integrate and potentially further unify multi-modal data for downstream analysis and visualization using a range of statistical and data visualization tools, such as Posit. All these processes are highly time-consuming and can delay subsequent important business decisions.
What bioinformaticians, statisticians, and data scientists need is a platform that provides them with analysis-ready datasets. They would also vastly benefit from a tool that allows the communication of results to stakeholders (e.g., scientists and clinical researchers) in a standardized, reproducible, and interactive manner. This is where Genedata Profiler makes a difference.
The Advantages of Integrating Posit with Genedata Profiler
FACILITATED SEARCH & EASY ACCESS TO ANALYSIS-READY DATASETS
- Genedata Profiler enables your organization to aggregate, harmonize, and structure data from different sources in a centralized repository.
- It provides you with self-service access to data allowing you to rapidly query, select and condense billions of data points for analysis.
- By integrating with Posit, Genedata Profiler allows you to leverage RStudio Pro, Jupyter Notebook, JupyterLab and VS Code, to easily perform cross study and cross technology analyses, serving as a basis for advanced machine learning and AI applications.
- Any changes you make to your data using Posit or other 3rd party analytical tools are saved with a link to the source data for data provenance.
SECURE COLLABORATION ENVIRONMENT
- Genedata Profiler allows you to maintain a high level of security by setting permissions, only allowing specific users to access certain types of data or specific datasets and and perform specific data-handling activities.
- Analysis-ready datasets are updated in real-time, including revocation of consent, providing you with real-time governance of sensitive patient information.
- The entire system, including Posit, can be implemented into a GxP validated environment.
- As Genedata Profiler allows you to keep track of all changes made within Posit, you and your team members will never lose a single line of code.
- By generating Posit interactive dashboards (RShiny) within Profiler, you can easily share results with partners e.g. clinical leads or other scientists, enabling them to further explore the data and draw actionable conclusions.
HIGHLY-PERFORMANT, FAST & SCALABLE INFRASTRUCTURE
- Genedata Profiler allows you to import or federate and process any amount of data, while maintaining optimal analytical performance.
- Operating using a cloud infrastructure ensures accelerated data processing and analysis by multiple users as tasks are fully parallelized.
- SQL over REST and predicate pushdown allows you to query, access and load only the data you need for analysis and visualization in Posit. This not only allows you to save time but also prevents excessive strain on analytical tools.
- Since computing resources are used exclusively on demand elastically, this allows you to optimize your resources and costs.
Integrable Posit Products
Working closely with Genedata, we have generated a digital biomarker research platform that will enable Merck scientists to better utilize clinical and translational data to generate innovative ideas for new biomarkers and drug targets.
To support our vision of transforming cancer treatment, we are excited to implement the Genedata Biopharma Platform as a central integrated data backbone to streamline the capture, integration, democratization, and analysis of increasingly complex and diverse data types across Genmab’s discovery and clinical workflows.
We chose Genedata Profiler because it is the end-to-end enterprise software able to harmonize our dispersed data analysis pipelines, enhancing our capacity to analyze large amounts of high-dimensional ‘omics data emerging from our rapidly growing number of translational and clinical research projects.
As we expect our clinical and pre-clinical programs and pipeline to continue to grow, we look forward to utilizing Genedata Profiler and Genedata Managed IT Services to assist us in our mission to develop safe, targeted, effective therapeutics for cancer patients.
