Joint venture aims to drive new discoveries and improve patient outcomes.
In a company press release, Aitia announced a collaboration with the Pancreatic Cancer Action Network (PanCAN) focused on accelerating drug discovery and development. Through applying PanCAN's Spark health data platform, Atita intends to integrate de-identified human multi-omic data to create gemini digital twins, that will serve a wide range of applications, including the discovery of novel targets and biomarkers, simulation of drug candidates, identification of ideal patient subpopulations for clinical trials, and the determination of optimal drug combinations.
"Unraveling the complex genetic and molecular circuitry of Pancreatic Cancer is critical to the discovery of the next generation of drugs that can significantly increase the survival rate of patients," said Colin Hill, CEO, co-founder, Aitia. "We believe our Gemini Digital Twins, coupled with PanCAN's robust de-identified human multi-omic data, stand to increase efficacy in early research, ultimately leading to the discovery and development of breakthrough drugs. Collaborating with PanCAN is a pivotal milestone in our mission, as we envision reshaping the panorama of pancreatic cancer treatment by harnessing the potential of multi-omic patient data, Causal AI and Digital Twins".
Reference: Aitia and Pancreatic Cancer Action Network Partner to Transform De-Identified Multi-Omic Patient Data into Digital Twins to Drive New Discoveries and Improve Patient Outcomes. PR Newswire. September 27, 2023. Accessed September 28, 2023. https://www.prnewswire.com/news-releases/aitia-and-pancreatic-cancer-action-network-partner-to-transform-de-identified-multi-omic-patient-data-into-digital-twins-to-drive-new-discoveries-and-improve-patient-outcomes-301940556.html
Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.