Harnessing Artificial Intelligence & Machine Learning to Improve Speed, Robustness & Efficacy of the Hit ID Process
Time: 1:10 pm
day: Pre-Conf Day
Details:
Artificial intelligence is widely regarded as the up and coming pathway in drug discovery, due to its potential to both accelerate and refine the hit identification process. AI offers novel avenues to hit ID to save time and ultimately costs through revolutionizing screening strategies by accurately predicting suitable candidates and potential hits through a deep knowledge of available datasets.
Despite this burgeoning field proving to be a huge area of global interest, the seamless application of AI to current screening strategies is something to be further elucidated.
This workshop will cover:
- Exploring both the success stories and learnings of the application of AI to HTS, FBDD and DEL screening
- Training an AI model for novel applications through leveraging data & finding potential hit ID strategies
- Mastering AI for biochemical and biophysical assay applications to streamline assay development to enhance efficiency and accuracy of hit identification
- Utilizing AI to uncover and drug previously “undruggable” targets
- Developing new high-throughput screening platform and in silico tools better suited for protein engineering
- Exploring the best practices for combining AI driven tools and different experimental assessments to optimize biologics and reduce immunogenicity risks
