Saama Technologies, Inc., a clinical data analytics company, announced a collaboration with researchers at the Tufts Center for the Study of Drug Development (Tufts CSDD) at Tufts University School of Medicine to ascertain how biopharmaceutical companies optimize automation and information technologies, including artificial intelligence (AI) such as machine learning and neural networks, to support the research and development (R&D) of new therapeutics.
The research will examine what areas of the R&D continuum the life sciences industry sees as most easily automated, and where these innovations are being applied. In addition, the research will examine where applications of technology solutions have the most impact, assess how contract research organizations (CROs) support the adoption of these innovations, and identify areas of greatest concern and challenge.
“The clinical development process is being transformed by information technology, especially AI-powered data analytics solutions,” said Sagar Anisingaraju, Chief Strategy Officer at Saama Technologies. “Saama has embarked on this collaboration with researchers at Tufts CSDD to further inform our mission of empowering life science companies to bring better drugs to market faster, and ensure that we offer our biopharma partners optimal awareness and understanding of their technology needs as they implement their digital transformation programs.”
“We will be assessing how innovative technology solutions are being applied in drug development,” said Ken Getz, Director of Sponsored Research at Tufts CSDD. “We know that companies have been piloting select solutions, but the level of adoption of automation and IT, and its impact, has not been benchmarked.”
The work will get underway this fall and will entail both an industry roundtable, comprising participants from leading life science organizations, and a global, industry-wide survey.
For more information, visit www.saama.com
FDA Finalizes Decentralized Clinical Trial Guidance
November 25th 2024The FDA's guidance is part of a broader effort to modernize clinical trials, improve efficiency, reduce participant burden, and expand access, particularly for underrepresented populations and those in geographically or economically constrained areas.
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.
Patient Engagement Platform Checklist
November 22nd 2024Modern clinical trials are more complex than ever, and one significant reason is the increased focus on patient engagement. Incorporating a patient engagement platform into your clinical trial enhances the patient experience and can lead to more successful trials with stronger, more reliable outcomes. We put together this helpful checklist of key features to look out for when choosing a platform for your study.
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.