Latest Projects
Our projects transform R&D innovation through pre-competitive collaboration. We bring together the key constituents to identify the root causes that lead to R&D inefficiencies. We develop best practices and technology pilots to overcome common obstacles.
Project one: Unified Integrated Knowledge Base
This project aims to create a community-led knowledge base for R&D Application, Instrument, Data, and Services Integrations.
The precompetitive approach to this program allows all types of R&D organizations, instrument and hardware manufacturers, software vendors and professional service organizations to come together to solve one of this industry’s biggest challenges.
Accomplishing the above-mentioned integrations is one the costliest efforts undertaken by R&D organizations. Better practices and sharing of knowledge will dramatically reduce this burden.
Project members will receive a software solution that allows them to populate data and processes as well as interrogate the data for better practices and approaches.
Project Funders
Project two: Microbiome
This project aims to develop a cross-industry microbiome expert group committed to addressing challenges around the influence of the microbiome on drugs and dietary supplements.
The same drug or dietary supplement can behave differently in different people. This is in part due to the difference in the genome between individuals and it is also increasingly evident that this is caused, in part, by the different microbiome within individuals.
If we are to achieve the health care objective of precision medicine then a greater understanding of this interaction is required.
- The microbiome has a profound impact on drug behavior in an individual
- This project allows for data pooling from different organizations an elegant and difficult pre-competitive activity
- A better understanding of the microbiome will lower barriers to R&D innovation
This project aims to develop a cross-industry microbiome expert group committed to addressing challenges around the influence of the microbiome on drugs and dietary supplements.
1) Establish a systematic, global and standardized map of the microbiome-derived metabolism and develop a database to include all the generated data so far on the bi-directional interaction between microbiome and drugs/dietary supplements.
2) Such data could be used as the foundation for developing various machine-learning algorithms that could help in predicting the influence of the microbiome and identify key enzymes which contribute to drug metabolism
3) create a common methodological framework for determining the bi-directional interaction between microbiome and drugs/dietary supplements, and for accurate data generation. This common framework could include validated methods and protocols, software, and computing infrastructure.
This project is relevant for pharma, nutraceutical organizations, and academic organizations looking at the effects of the microbiome.
Scientists involved in Microbiome Research, ADME/Tox Scientists, Bioinformaticians, Data Scientists, and AI/ML interested parties are welcome to participate. We are currently meeting monthly to continue to develop the project. Click here to express your interest.
Project three: Data Visualization
This project aims to establish best practices for data visualization supporting life science research and identify opportunities for communicating and implementing these best practices.
Technology breeds technology and especially so in the Life Sciences. As such, we have more tools and data in our armory than ever before. However, with this data deluge comes complex challenges in maximizing the value of that data.
Data visualization is the graphical representation of quantitative and qualitative information to reinforce human cognition. The interpretation and understanding emanating from the analysis of scientific data can be optimized by incorporating best practices, strategies, and principles.
R&D life sciences might establish a data-visualization practice to put scientists at the center of the data visualization experience to optimize the cognitive ability of scientists in interpreting data.
The goal of this project will be to create a data visualization community of interest that will address the needs for data visualization to support life science research and identify opportunities for communicating and implementing these best practices.
- Forge a project team to enable sharing of best practices
- Raise awareness of the value of Data Viz in the life sciences
The project will support organizations to become more aware of the field of data visualization and its benefits to enable scientists to better understand and gain insights from their experimental data.
- The team meets twice a month to share best practices.
- Developing themes of importance to the community.
- We are running education workshops amongst interested members through the UXLS 2021 conference.
