Emerging Challenges in Multiscale Modeling in Biology Roy Kerckhoffs

Emerging Challenges in Multiscale Modeling in Biology.

Session Introduction

1. Session Background and Motivation Today's biology and biomedical research is increasing inundated with data, based in part on improved instrumentation and techniques that automate the data capture and storage. Genomics and proteomics efforts are producing data at an increasing rate, the data are more of a descriptive nature and do not provide information on functional and structural integrat...

Current progress in patient-specific modeling

We present a survey of recent advancements in the emerging field of patient-specific modeling (PSM). Researchers in this field are currently simulating a wide variety of tissue and organ dynamics to address challenges in various clinical domains. The majority of this research employs three-dimensional, image-based modeling techniques. Recent PSM publications mostly represent feasibility or prel...

Investigation of Vacancy Defects on the Young’s Modulus of Carbon Nanotube Reinforced Composites in Axial Direction via a Multiscale Modeling Approach

In this article, the influence of various vacancy defects on the Young’s modulus of carbon nanotube (CNT) - reinforcement polymer composite in the axial direction is investigated via a structural model in ANSYS software. Their high strength can be affected by the presence of defects in the nanotubes used as reinforcements in practical nanocomposites. Molecular structural mechanics (MSM)/finite ...

Computational modeling for bedside application.

Advances in computer power, novel diagnostic and therapeutic medical technologies, and an increasing knowledge of pathophysiology from gene to organ systems make it increasingly feasible to apply multiscale patient-specific modeling based on proven disease mechanisms. Such models may guide and predict the response to therapy in many areas of medicine. This is an exciting and relatively new appr...