Research Works

Computational oncology as an integrative discipline incorporates computational fluid dynamics (CFD) knowledge to further the understanding of the cancer environment non-invasively. In this regard, we at Biofluids Research Lab are developing an open-source computational graphical user interface (GUI) to predict the hydraulic environment, drug transport (irrespective of any treatment and drug administration mode) in the heterogeneous tumor microenvironment, and the associated cancer healing. Additionally, to make patient-specific predictions, the computational models are reinforced with real-time medical imaging data (Dynamic Magnetic Resonance Imaging (MRI)) that help the oncologists use these tools to improve prognosis, survival, and patient quality of life. This helps the oncologists to optimize their surgical planning beforehand.

Arterial tortuosity is one of the noticeable features of the diabetic artery. Significant changes in the flow patterns occur at the artery's tortuous region, making these regions susceptible to different vascular damages. We at Biofluids Research Lab are investigating the effect of tortuosity variations on hemodynamics through particle streak velocimetry (PSV) experiments.

The retina is an integral part of the posterior human eye and is susceptible to many diseases, such as diabetes and hypertension. Different alterations in the retina's vascular architecture occur due to these diseases that change the retina's blood flow and oxygen transport. To this end, we at Biofluids Research Lab are investigating how these alterations in the vascular topology lead to changes in the retinal hemodynamic and biomechanics behavior. To accomplish this, the patient-specific geometries of detailed retinal microvasculature are extracted from Fundus and Optical coherence tomography angiography (OCTA) imaging. Detailed 3D CFD and Fluid-structure interaction (FSI) simulations of healthy and diabetic retinal blood vessels (both artery and veins) are carried out, which result in the identification of abnormalities regions, such as vascular damage and atherosclerosis spotted, to help ophthalmologists find potential areas for the formation of microaneurysms Access Link

Softwares used: Inventor, Ansys Fluent, Static Structural.

The transport of the drug to the affected regions in the nasal cavity is challenging due to its intricate anatomical structure. The deposition mechanisms for smaller particles are attributed to diffusion. On the contrary, inertial impaction dominates larger ones Access Link. Many parameters affect the drug trajectory, including patient-specificity, administration technique, device type, and atomization techniques

The deviated nasal septum, a condition characterized by the displacement of the nasal septum, often results in partial blockage of the nasal cavity. Septoplasty, a commonly performed surgical intervention, aims to correct this deviation. However, its success rates have been reported as low as 50%. Patient selection plays a crucial role in enhancing the efficacy of septoplasty. When the patient undergoes septal surgery, the airflow patterns, heat, and mass transfer alter. At Biofluids Research Lab, we are exploring these alterations using computational fluid dynamics (CFD) and virtual surgery techniques to develop criteria for selecting potential septoplasty patients and the effectiveness of the septoplasty (Access Link).

Softwares used: 3D Slicer, Ansys ICEM-CFD, Ansys Fluent.