Predictive Models in Osteoporosis Screening: A Comprehensive Review

Osteoporosis is a silent disease until it is complicated by fractures. Osteoporosis ("porous bones", from Greek: ostoun meaning "bone" and poros meaning "pore") is a progressive bone disease that is characterized by a decrease in bone mass and microarchitectural deterioration of bone tissue, leading to enhanced bone fragility and a consequent increase in fracture risk. Many traditional plants or phytoconstituents are used in bone fractures as potential therapy for reducing fracture healing period. However, these phytoconstituents or herbs require scientific study to validate their use for the treatment of osteoporosis. And various in-vitro and in-vivo models are available for screening of these herbs or phytoconstituents which crucial for validate their use.

Autorentext
Dr. Kunjal Vegad, Ph.D., M.Pharm (Pharmacognosy) has 16 years of academic experience. She is currently working as a Professor at Parul University. She has published 35 research papers in national and international journals and three books on her credit. ATC, isolation of actives, and standardization of herbal formulations are areas of her interest.