Co-founder and CEO, GTN
|Global Pharma R&D AI, Data Science & Informatics Summit (PRADI 2020)|
|AI, Data Science & Informatics for Drug Discovery and Preclinical Development||AI, Data Science & Informatics for Biomarkers and Clinical Development|
|Advances in Algorithms, Machine/Deep Learning Techniques & Quantum Computing||Data Curation, Integration & Management||AI for Predicting Response & Biomarker Discovery||Clinical Informatics, Knowledge Discovery & Real World Evidence|
|AI for Genomics, Single Cell Analysis, Target Identification & Validation||Advances in Knowledge Discovery, Natural Language Processing, Information & Knowledge Visualization||AI for Patient Recruitment, Trial Design, & Patient Monitoring||Clinical Data Integration, Management & Storage|
|AI for Medicinal Chemistry, Lead Optimization, ADME, Toxicology||Data Analysis & Informatics for ‘Omics, Molecular Biology & Systems Biology||Applying AI to Imaging & Computer Vision||Digital Therapeutics Discovery, Development & Clinical Trials|
|R&D Digitization & Automation||Harnessing AI for Cancer Immunotherapy & Neurodegenerative Disease||IoT, Wearables, & Sensors for Clinical Data Collection|
The meeting Agenda has been substantially expanded to include AI for genomics, single-cell analysis and target validation, AI for predicting patient response, AI impacting clinical trials, AI for imaging, AI for cancer immunotherapy and neurodegenerative diseases, clinical informatics, data integration, management and storage, digital therapeutics, wearables and sensors.
“A good overview of what other pharmaceutical companies are doing with respect to data management, AI etc. in research”
“Information from those developing and implementing data management systems”
“The fact this was a scientific rather than very commercial conference”
“The ability to network was very important. the program provided ample time for that”
Once again this hugely successful senior-level R&D event will be co-located with the 5th Medicinal Chemistry and Protein Degradation Summit, which also explores machine learning and AI in Drug Discovery and the special one-day symposium on Cannabinoid Drug Discovery which will explore in detail the latest drug discovery developments from leading biotech and pharmaceutical companies targeting the endocannabinoid system (ECS), and creating a new class of regulated therapeutics.
Attend any of the talks at all three meetings.
The 2020 programme is designed to create a collaborative environment in which you can engage with the speakers, sponsors and other delegates to build new enduring relationships.
Attracting over 200 experts working in all areas of AI, Data Science & Informatics for Drug Discovery and Preclinical Development, as well as Informatics for Biomarkers and Clinical Development.
Watch this video of the meeting.
Get this year's agenda
The agenda in brief
What you will get