Saeed Bidi

Queen Mary, University of London | QMUL · Wolfson Institute of Population Health

Understanding the genetic basis of routinely-acquired blood tests can provide insights into several aspects of human physiology. We report a genome-wide association study of 42 quantitative blood test traits defined using Electronic Healthcare Records (EHRs) of ~50,000 British Bangladeshi and British Pakistani adults. We demonstrate a causal varian...

Biological flows involve large to extreme plastic deformations of the medium, which classical modeling approaches such as Immersed Boundary or Arbitrary-Lagrangian Eulerian methods fail to capture. To address this, we propose an explicit density-based diffuse interface model with Eulerian hyperelasticity. The model is implemented within a multi-dim...

A numerical investigation into the ultrasound-induced collapse of air bubbles near soft materials, utilizing a novel multi-material diffuse interface method (DIM) model with block-structured adaptive mesh refinement is presented. The present work expands from a previous five-equation DIM by incorporating Eulerian hyperelasticity. The model is appli...

Numerical simulations of collapsing air bubbles considering complex and more accurate equations of state (EoS) for estimating the properties of both the liquid and gas are presented. The necessity for utilising such EoSs in bubble collapse simulations is illustrated by the unphysical (spurious) liquid temperature jump formed in the vicinity of the...

Understanding the genetic basis of blood tests routinely acquired in clinical care can provide insights into several aspects of human physiology and disease. Previous efforts have almost exclusively focussed on individuals of European descent, severely limiting generalizability to ancestrally-diverse populations. Here we describe the largest genome...

Biological flows involve large to extreme plastic deformations of the medium, which classical modeling approaches such as Immersed Boundary or Arbitrary-Lagrangian Eulerian methods fail to capture. To address this, we propose an explicit density-based diffuse interface model with Eulerian hyperelasticity. The model is implemented within a multi-dim...

This study aims to improve the Kapila model, a mechanical equilibrium multiphase method, by incorporating complex equations of state for liquid and gas phases to accurately simulate realistic thermodynamics. While our previous research has explored the effects of real gas thermodynamics with a similar diffuse interface method, this study focuses on...

An explicit density-based solver of the Euler equations for inviscid and immiscible gas-liquid flow media is coupled with real-fluid thermodynamic equations of state supporting mild dissociation and calibrated with shock tube data up to 5000 K and 28 GPa. The present work expands the original 6-equation disequilibrium method by generalising the num...

The numerical algorithm of the widely used multiphase disequilibrium Diffuse Interface Methods (DIMs) such as [1]-[3] is strongly affected by the choice of the Equation of State (EoS), especially in the relaxation step. The scope of this study is to develop an algorithm for a DIM [1] entirely independent of the thermodynamic closure, without solver...