no code implementations • 28 Feb 2024 • Guy Elisha, Sourav Halder, Xinyi Liu, Dustin A. Carlson, Peter J. Kahrilas, John E. Pandolfino, Neelesh A. Patankar
Specifically, repetitive antegrade contractions (RACs) are conclusively shown to emerge from the coupled neuromechanical dynamics in response to sustained volumetric distension.
no code implementations • 1 Nov 2023 • Tom Y. Zhao, Jin-Tae Kim, Min Cho, Akhil Narang, John A. Rogers, Neelesh A. Patankar
Rupture of aortic aneurysms is by far the most fatal heart disease, with a mortality rate exceeding 80%.
no code implementations • 15 Sep 2022 • Sourav Halder, Ethan M. Johnson, Jun Yamasaki, Peter J. Kahrilas, Michael Markl, John E. Pandolfino, Neelesh A. Patankar
Dynamic magnetic resonance imaging (MRI) is a popular medical imaging technique to generate image sequences of the flow of a contrast material inside tissues and organs.
no code implementations • 19 Nov 2021 • Sourav Halder, Jun Yamasaki, Shashank Acharya, Wenjun Kou, Guy Elisha, Dustin A. Carlson, Peter J. Kahrilas, John E. Pandolfino, Neelesh A. Patankar
In this work, we present a hybrid framework that combines fluid mechanics and machine learning to identify the underlying physics of the various esophageal disorders and maps them onto a parameter space which we call the virtual disease landscape (VDL).
no code implementations • 21 Nov 2020 • Aranyak Chakravarty, Mahesh V. Panchagnula, Alladi Mohan, Neelesh A. Patankar
The availability of the drug at a particular region of the lung is, thus, determined by a balance between these two phenomena.
no code implementations • 13 Aug 2020 • Tom Y. Zhao, Neelesh A. Patankar
The coronavirus SARS-CoV-2 remains an extant threat against public health on a global scale.