October 26-27 2020 Boston, MA
Currently, drug discovery is a blind search through chemical libraries, which is not that efficient. The AI Applications Summit is an important gathering of thought leaders to discuss better options, such as generative AI models, which can potentially speed up the drug discovery process by proposing a limited amount of high promising molecules instead of thousands with unknown activities and possibly increase the drug space (finding new drug, a new mechanism of action, new chemistry).
Polina Mamoshina, Research Scientist,Pharma AI a division of Insilico Medicine
Past and current speakers
4 packed content tracks
RESEARCH & DISCOVERY
Enhanced targeting, process improvement, using predictive analytics to rank and prioritize assets in the move toward more personalized medicines, collaboration models as a vital component to a fundamental commitment to R&D.
ADME Tox, Pharmacovigilance, Patient Recruitment, Adherence and Retention in Clinical Trials, Digital Therapeutics and Virtual and Hybrid Trials.
How organizations are using genomic data in specific therapeutic areas; What insights are being drawn from genomic data sets; What information is being parsed and what's useful in enabling outcomes.
STRATEGY & LEADERSHIP
For scientific and technology leaders - where the industry is headed, what is needed to move faster, how shifts in business models, organizational structure, automation, and talent management are important in driving the industry forward.