Researchers led by Hwang Seunghyeon in a 2025 BMC Women's Health study developed an ML model that predicts osteoporosis risk in Korean women. By analyzing variables like age at menopause and biochemical markers, the study offers refined early screening capabilities, paving the way for proactive bone health management.
Q&A
- What is osteoporosis risk prediction?
- How does machine learning improve screening processes?
- What role do specific variables play in the model?