Microsoft supporting the Pistoia Alliance Deep Learning Hackathon
Next Challenge Announced for the Pistoia Alliance Deep Learning Hackathon
The Pistoia Alliance Tackles Laboratory Safety with the Launch of the Chemical Safety Library Service
Collaborative database of previously inaccessible hazardous chemical reactions improves safety for scientists carrying out experiments in the lab.
First Challenge Announced for the Pistoia Alliance Deep Learning Hackathon
The Pistoia Alliance and Scilligence Announce HELM Web Editor
The Pistoia Alliance and Scilligence Corporation are pleased to announce the release of the HELM Web Editor which brings HELM’s industry standard biomolecular representation to the browser, greatly enhancing the deployability of the technology for its adopters.
Advisory board appointed
The Pistoia Alliance has appointed an advisory board to guide its strategy and provide insight and expertise from across the industry.
Innovation in Action, December 2016
The December 2016 edition of the Pistoia Alliance newsletter, Innovation in Action, is available to download as a PDF document.
Agenda announced for our European Conference 2017 in London
We are pleased to announce the outline agenda for our 2017 European Conference. If you’d like to attend, please register now!
The Pistoia Alliance Calls for Greater Collaboration on Wearable Devices in R&D
Removing silos and pooling expertise will change medical research and benefit more patients.
Pine Biotech and Medexprim Selected as Grand Prize Winners in the 2016 Pistoia Alliance President’s Startup Challenge
Innovative startups demonstrate cutting-edge methods of harnessing and using scientific big data to accelerate research.
Finalists selected for the President’s Startup Challenge 2016
We are delighted to announce the 5 finalists for the Pistoia Alliance President’s Startup Challenge 2016. They show innovative solutions that demonstrate how the harnessing and utilisation of scientific data will truly advance scientific research and development in this age of exponential data creation.