Ravi B. Parikh, Director of Human-Algorithm Collaboration Lab (HACLab) and Associate Professor at Winship Cancer Institute of Emory University, shared Ashley Eadie’s post on LinkedIn, adding:
“New in Nature Reviews Clinical Oncology: Clinical trial participation improves survival for patients with cancer. But too many eligible patients are never identified and spend precious months on a trial that was never a good match.
In this article, we provide what I think is one of the most comprehensive overviews of the current state of AI in all stages of clinical trial design and conduct. We show how AI-driven patient-trial matching, eligibility screening, and data extraction can accelerate access to effective therapies and an evidence base that better reflects real-world patients. Other technologies, like synthetic control arms, digital twins, and outcome simulations, remain early-stage and need rigorous prospective validation before they replace evidence generation.
This Review was led by Andrea Villa and Ashley Eadie, PhD. It was co-mentored the brilliant Arsela Prelaj, and sharpened by thoughtful edits from Rebecca Romanò, Loic Verlingue, Rodrigo Dienstmann, Filippo de Braud, Miriam Koopman, Evelyn Yi Ting Wong, Daniel SW Tan, Susan Halabi David Synnott, Jarushka Naidoo, Madhu Behera, Selen Bozkurt Naomi Scheinerman.
Lastly, very thankful for David Killock for extremely thorough edits to make this most useful to trialists, clinicians, and patients alike.”
Ashley Eadie, Postdoctoral Research Fellow at Emory University School of Medicine, shared a post on LinkedIn:
“Thrilled to see our new paper out in Nature Reviews Clinical Oncology!
Here, we discuss how AI is being applied across all stages of the clinical trial lifecycle, from augmenting operational workflows (such as protocol drafting, patient–trial matching, and structured extraction of data from electronic health records) to synthetic control arms, trial outcome simulations and digital twins. We also dive into important ethical and regulatory considerations (FDA, EMA, Health Canada), as well as evidence maturity of these AI applications.
Special thanks to the incredible Andrea Villa (co-lead author extraordinaire and the methodical muscle behind this endeavor), Arsela Prelaj, Ravi B. Parikh, and all our co-authors for making this happen.”
Title: AI-based augmentation of oncology clinical trials
Authors: Andrea Villa, Ashley L. Eadie, David Synnott, Rebecca Romanò, Max Piffoux, Evelyn Yi Ting Wong, Naomi Scheinerman, Daniel S. W. Tan, Filippo Guglielmo Maria de Braud, Miriam Koopman, Jarushka Naidoo, Madhusmita Behera, Selen Bozkurt, Susan Halabi, Rodrigo Dienstmann, Loic Verlingue, Arsela Prelaj, Ravi B. Parikh
Read the Full Article on Nature Reviews Clinical Oncology!
Other posts featuring Ravi B. Parikh on OncoDaily.