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Al-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases

Medicine and Health

Al-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases

J. S. Iyer, D. Juyal, et al.

Discover the transformative potential of AIM-MASH, an innovative AI-based tool designed to enhance histologic scoring in metabolic dysfunction-associated steatohepatitis (MASH) clinical trials. Developed by a team of experts, AIM-MASH not only achieves reproducible predictions but also aligns closely with consensus scores, reducing inter-rater variability and providing a more sensitive measure of patient responses.

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Playback language: English
Abstract
Clinical trials in metabolic dysfunction-associated steatohepatitis (MASH) require histologic scoring for assessment of inclusion criteria and endpoints. Variability in interpretation impacts outcomes. An AI-based measurement tool (AIM-MASH) was developed for scoring MASH histology. AIM-MASH predictions were reproducible and aligned with expert pathologist consensus scores. AIM-MASH's agreement with consensus was comparable to average pathologists. Continuous scores strongly predicted progression-free survival and showed greater fibrosis change in responders receiving study treatment compared to placebo. AIM-MASH may reduce inter-rater variability and offer a more sensitive measure of patient responses in MASH clinical trials.
Publisher
Nature Medicine
Published On
Oct 01, 2024
Authors
Janani S Iyer, Dinkar Juyal, Quang Le, Zahil Shanis, Harsha Pokkalla, Maryam Pouryahya, Aryan Pedawi, S Adam Stanford-Moore, Charles Biddle-Snead, Oscar Carrasco-Zevallos, Mary Lin, Robert Egger, Sara Hoffman, Hunter Elliott, Kenneth Leidal, Robert P Myers, Chuhan Chung, Andrew N Billin, Timothy R Watkins, Scott D Patterson, Murray Resnick, Katy Wack, Jon Glickman, Alastair D Burt, Rohit Loomba, Arun J Sanyal, Ben Glass, Michael C Montalto, Amaro Taylor-Weiner, Ilan Wapinski, Andrew H Beck
Tags
MASH
AI-based measurement tool
histology scoring
clinical trials
fibrosis change
progression-free survival
inter-rater variability
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