Deep learning-based action recognition for analyzing drug-induced bone remodeling mechanisms.
Journal:
Frontiers in pharmacology
Published Date:
May 29, 2025
Abstract
INTRODUCTION: Understanding the mechanisms of drug-induced bone remodeling is critical for optimizing therapeutic interventions and minimizing adverse effects in bone health management. Bone remodeling is a highly dynamic process that involves the intricate interplay between osteoblasts, osteoclasts, and osteocytes, regulated by a complex network of signaling pathways and molecular interactions. Traditional experimental and computational approaches often fail to capture this dynamic and multi-scale nature, particularly when influenced by pharmacological agents, which can have both therapeutic and adverse effects.
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