Jitendra Prasad

The paper develops a poroelastic model to show that the interaction between fluid velocity and pore pressure, not their individual effects, drives load-induced bone formation in mouse tibiae.

The paper develops a mathematical model to predict bone formation rate from Col1a1 gene expression data and compares it with literature-reported average BFR.

The paper develops a time-dependent model for cortical bone adaptation to mechanical loading using linear control theory and differential equations to analyze different response types.

This paper develops a mathematical model to predict site-specific cortical bone loss in mouse tibia under disuse conditions by relating stimulus loss to in-vivo bone loss data.

The paper derives and validates a model predicting mineral apposition rates at bone surfaces using fluid velocity, pore pressure, and dissipation energy density, showing improved prediction over existing models.

This paper derives a mathematical model for bone formation rate based on energy principles and validates it against experimental data, providing insights into the strain threshold for cortical bone adaptation.

This paper uses artificial neural networks to analyze how periosteal and endocortical bone surfaces differ in their response to mechanical loading and new bone formation.