Data-driven processes help to reduce the cost of therapeutics design, development, characterization, and release.
Ensure rapid decision-making and project progression with ready access to systems and therapeutics interaction data.
Promote healthy co-operation, innovation, and decision-making with reliable data and simplified information exchange.
Proliferate the standardization of procedures and policies supporting quality and regulatory initiatives.
Accelerating product ideation to manufacturing and commercialization in regualted and non-regualted enviornments.
There are seven broad groups of innovative technology that are transforming research and discovery in Life Sciences:
Laboratory Information Management Systems (LIMS) provide an automated way for laboratories to manage their data more effectively and efficiently.
LIMS allow researchers to streamline workflows, standardize processes, access relevant data throughout the research lifecycle, and make decisions early on to optimize products and processes. This is far superior to manual, paper-based processes that are prone to error and hard to access.
Effective scientific information management provides researchers with the tools they need to share and collaborate while exploring their data more deeply.
With a comprehensive framework in place, researchers are able to aggregate, process, and analyze data quickly, while also having access to scientifically-aware solutions that help ensure they’re making data-driven decisions. Having such an environment enables innovation and accelerates discoveries within R&D networks, both internally and externally.
Data Science is a rapidly growing field that helps solve complex business problems. Companies must utilize a streamlined, automated process to access and analyze their data in order to effectively apply data science practices.
This ensures best practices are maintained and allows even novice users to make use of powerful analytic techniques. By democratizing data science, teams can do more with less resources and create the innovations that businesses need today to stay competitive.
Molecular modeling and simulation provides a powerful set of tools for analyzing the interactions between atoms and molecules, helping scientists to gain insights into product performance.
This in silico testing process enables researchers to test hypotheses with far less risk and cost. Through the integration of the virtual world with the real world, teams can create better products that are more effective, safer, and more cost-efficient, resulting in improved customer outcomes.
BIOVIA’s Formulations Design and Management solution streamlines the complex process of managing formula-based products by ensuring regulatory compliance, providing real-time regulatory guidance, and improving efficiency, reducing costs, and accelerating time-to-market.
Scientific Quality and Compliance is essential for regulated life sciences industries.
To ensure that organizations remain compliant with regulations, a cloud-based solution offering integrated capabilities across quality document and content management, process management, quality intelligence, automated tasks, electronic signatures, and audit trails has been developed. This user-friendly platform easily scales from a few to one hundred thousand users and provides full regulatory compliance.