16/02/2021 – AI3SD Summer Internship Call
We are pleased to announce our AI3SD Summer Internship Funding Call. Prospective Project Supervisors are invited to apply for AI3SD Summer Undergraduate Internships. These applications must be made by the…
We are pleased to announce our AI3SD Summer Internship Funding Call. Prospective Project Supervisors are invited to apply for AI3SD Summer Undergraduate Internships. These applications must be made by the…
Back in January 2019 AI3SD announced their first funding call. We funded 3 pilot projects, and one of the successful applicants of this funding call was Professor Mat Todd from…
This one-day meeting concerns the application of machine learning/artificial intelligence (ML/AI) approaches to the discovery of new drug leads. Specifically the meeting is about cases where the biological target is not clearly established - so-called phenotypic drug discovery. The meeting centers on a real example - a competition run by Open Source Malaria (OSM), funded by a grant from the EPSRC/AI3SD+ Network. Data on active and inactive compounds in one OSM antimalarial series were published online, and anyone was able to submit a model able to predict the actives. The models were judged against a dataset that was kept private, and the winners were asked to use their models to predict novel molecules. These are currently being made in the lab and biologically evaluated, and the results will be reported at the meeting, providing a real-world test, and a complete case study, of the capabilities of ML/AI approaches to accelerate modern drug discovery. We will hear from some of the eleven competition entrants about how their models were constructed, and will have other presentations on related developments. We hope during this meeting to establish which approaches worked well, which did not, and why. All those interested in the application of ML/AI methods to drug discovery are encouraged to attend. The meeting is free, but there will be a cap on numbers, meaning first come first served, meaning registration is essential. Lunch will be provided as part of this event. GitHub Repository: https://github.com/OpenSourceMalaria/Series4_PredictiveModel
On the 11th September 2019 AI3SD Hosted a Network+ Town Meeting and Funding Workshop at the University of Southampton Wide Lane Sports Ground in Eastleigh. This purpose of this meeting…
This meeting has been organised to provide useful information about both the AI3SD-FundingCall2 and funding call applications in general. There will be talks from experts in the areas of IP for AI, there will be a top tips for writing your funding application session where we will provide advice on strengthening your applications based on previous experience of reviewing funding applications. There will also be an opportunity to ask questions about our second funding call and to find other people / institutions to collaborate with. We strongly encourage all interested parties to come along, as we hope that this event will not only answer any questions you have, but offer an opportunity to match up companies with academic institutes for collaboration on projects proposals. All questions and answers will be written up and added to our Funding Call Page as an FAQ.
NB: This funding call has now closed and 4 successful projects have been selected for funding: Optimising Flatland: Inverse design of desalination membranes. Principal Investigator: Dr J. Grant Hill. Lead Institution: University…
In our first funding call AI3SD-FundingCall1, 3 successful projects have now been selected for funding (pending contract negotiations): Project Title: Predicting the Activity of Drug Candidates where there is No…
On the 22nd January 2019 AI3SD Hosted a Network+ Town Meeting at the SCI in London. This purpose of this meeting was to give prospective applicants the opportunity to ask…
This meeting is to give prospective applicants the opportunity to ask questions about our first funding call, and also to find other organisations to collaborate with. We strongly encourage all interested parties to come along, as we hope that this event will not only answer any questions you have, but offer an opportunity to match up companies with academic institutes for collaboration on projects proposals. All questions and answers will be written up and added to our funding call page as an FAQ.
NB: This funding call has now closed and 3 successful projects were selected for funding: Predicting the Activity of Drug Candidates where there is No Target. Principal Investigator. Professor Matthew…