Where Life Science
Collaborates
We are a global, not-for-profit members’ organization working to lower barriers to innovation in life science and healthcare R&D through pre-competitive collaboration.
Boston, May 5, 2021: The Pistoia Alliance, a global,...
Boston, 30 March, 2021: The Pistoia Alliance, a global,...
Boston, 16th March 2021: The Pistoia Alliance, a global,...
The Pistoia Alliance, a global, not-for-profit alliance that works...
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.
The goal of the Quantum Computing Community of Interest is to maximize the positive effect of quantum computing on life sciences and healthcare research and development as quantum computing is the next frontier in the field of IT and one industry that is set to benefit significantly from the development of these impressive next-generation computers is pharma.
Quantum computing falls under the Pistoia Alliance’s Emerging Sciences and Technology strategic theme.
We want to identify use cases where quantum computing can be transformational and we want to identify a quantum computing challenge to encourage the quantum computing supply-side industry to address important issues emanating from the life science and healthcare R&D community.
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 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.
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.
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 visualisation community of interest that will address the needs for visualization among the Pistoia Alliance members and friends. It aims to crystallize a project that will establish best practices for data visualization supporting life science research and identify opportunities for communicating and implementing these best practices.
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.
