Many in the HASTE team visited the conference:
Phenotypic Screening, High-Content Analysis and AI: Overcoming the Challenges that was held March 2-3rd at AstraZeneca, Gothenburg, Sweden.
Ola Spjuth shared the session
where Carolina Wählby (PI of HASTE) and Phil Harrison (PhD student in HASTE) gave presentations. AI and Machine Learning
Phil Harrison (PhD student in HASTE) presenting his accepted talk: Deep learning models for RNA- based drug delivery using time-lapse microscopy image data. This project is now published as a preprint: P. Harrison, H. Wieslander, A. Sabirsh, J. Karlsson, V. Malmsjö, A. Hellander, C. Wählby, O. Spjuth. Deep learning models for lipid-nanoparticle-based drug delivery. BioRxiv 2020. DOI: https://doi.org/10.1101/2020.04.06.027672
Prof. Carolina Wählby (PI of HASTE) and Phil Harrison (PhD student in HASTE) were both part of the Expert Panel discussing “AI and Machine learning in Phenotypic Screening”.
Prof. Carolina Wählby (PI of HASTE) and Dr. Alan Shabirsh (HASTE industry partner at AstraZeneca) were both part of the Expert Panel discussing “The future of phenotypic profiling”.
Discovering new drugs is becoming more costly. Lars Carlsson gave a presentation
Machine Learning For Smarter Drug Discovery at RISE SICS Data Science & AI Day, Nov 28, 2017, where he gave some examples of how AstraZeneca is trying to improve the drug discovery phases through the use of machine learning.