On April 8, 2022 Exscientia plc (Nasdaq: EXAI) reported that details of its participation at the upcoming American Association for Cancer Research (AACR) (Free AACR Whitepaper) Annual Meeting, taking place April 8-13 2022 at the Ernest N. Morial Convention Center in New Orleans, La (Press release, Exscientia, APR 8, 2022, View Source [SID1234611769]). Exscientia scientists will present new research in three poster presentations.

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"We are looking forward to meeting with some of the world’s leading cancer clinicians and researchers at this year’s AACR (Free AACR Whitepaper) meeting, as we continue to build our human tissue precision medicine platform and expand the areas we are exploring to include additional indications such as breast and ovarian cancers," said Nikolaus Krall, Exscientia’s VP of Precision Medicine. "In addition, we will share data highlighting our translational research capabilities and AI-driven drug discovery platform and the potential to redefine cancer drug discovery. We believe these studies continue to validate our novel approaches as we seek to improve clinical and patient outcomes by efficiently identifying the most promising therapeutic assets."

Exscientia will have a booth (#2016) where attendees can meet the team and learn more about the company’s AI-driven precision oncology platform, broad pipeline, and newly launched collaboration with the University of Oxford, Xcellomics, to help accelerate early-stage drug discovery.

Poster presentations:

Poster Title: Enriching for adenosine antagonist patient responses through deep learning
Session Title: Immunomodulatory Agents and Interventions
Abstract Number: #4150
Date/Time: Wednesday, April 13 / 9:00 AM – 12:30 PM CT

Poster Title: AI-driven discovery and profiling of GTAEXS-617, a selective and highly potent inhibitor of CDK7
Session Title: Emerging New Anticancer Agents
Abstract Number: #3930
Date/Time: Wednesday, April 13 / 9:00 AM – 12:30 PM CT

Poster Title: Deep Learning Supported Analysis of Primary Samples Identifies ALK Pathway as a Novel Sensitivity in Ovarian Cancer
Session Title: New Technologies for Drug Discovery
Abstract Number: #1893
Date/Time: Monday, April 11 / 1:30 PM – 5:00 PM CT