Publications

OLMo accuracy vs. Dolma estimated co-occurrence frequency on CASI dataset. Each dot shows a jargon-expansion pair.

Diagnosing our datasets: How does my language model learn clinical information?

arXiv

Furong Jia, David Sontag, Monica Agrawal

Read more: Diagnosing our datasets: How does my language model learn clinical information?
Cover of Critical Care Medicine

Development of a Core Critical Care Data Dictionary With Common Data Elements to Characterize Critical Illness and Injuries Using a Modified Delphi Method

Critical Care Medicine

David J. Murphy, MD, PhD, FCCM, Wesley Anderson, RN, PhD, Smith H. Heavner, PhD, RN Tamara Al-Hakim, MD, Raul Cruz-Cano, PhD, Krzysztof Laudanski, MD, PhD, Rishikesan Kamaleswaran, PhD, Omar Badawi, PharmD, FCCM, Heidi Engel, DPT, Jocelyn Grunwell, MD, Vitaly Herasevich, MD, PhD, FCCM, Ashish K. Khanna, MD, FCCM, Keith Lamb, RRT, FCCM, Robert MacLaren, PharmD, MCCM, Teresa Rincon, RN, PhD, FCCM, Lazaro Sanchez-Pinto, MD, Andrea N. Sikora, PharmD, Robert D. Stevens, MD, FCCM, Donna Tanner, RRT, William Teeter, MD, An-Kwok Ian Wong, MD, James L. Wynn, MD, Xiaohan T. Zhang, MBBS, Jerry J. Zimmerman, MD, FCCM, Vishakha Kumar, MD, J. Perren Cobb, MD, Karin E. Reuter-Rice, PhD, NP, FCCM

Read more: Development of a Core Critical Care Data Dictionary With Common Data Elements to Characterize Critical Illness and Injuries Using a Modified Delphi Method
Illustration of a non-invasive brain imaging system using SPAD arrays to measure cerebral blood flow.

Beneath the surface: revealing deep-tissue blood flow in human subjects with massively parallelized diffuse correlation spectroscopy

Neurophotonics

Lucas Kreiss, Melissa Wu, Michael Wayne, Shiqi Xu, Paul McKee, Derrick Dwamena, Kanghyun Kim, Kyung Chul Lee, Kyle R. Cowdrick, Wenhui Liu, Arin Ülkü, Mark Harfouche, Xi Yang, Clare Cook, Seung Ah Lee, Erin Buckley, Claudio Bruschini, Edoardo Charbon, Scott Huettel, and Roarke Horstmeyer

Read more: Beneath the surface: revealing deep-tissue blood flow in human subjects with massively parallelized diffuse correlation spectroscopy
Cover of Nature Reviews Electrical Engineering

Meet the winners of the 2024 Sony Women in Technology Award

Nature Reviews Electrical Engineering

Kiana Aran, Jiawen Li, Amanda Randles & Yating Wan

Read more: Meet the winners of the 2024 Sony Women in Technology Award
Velocity-time curve with feature points and scatter plot correlations.

Impact of inlet velocity waveform shape on hemodynamics

Journal of Computational Science

Justen R. Geddes, Timothy D. King, Cyrus Tanade, William Ladd, Nusrat Sadia Khan, Amanda Randles

Read more: Impact of inlet velocity waveform shape on hemodynamics
Workflow diagram of offline modeling and online planning for blood flow.

Real-time virtual intervention for simple and serial coronary artery disease using the HarVI framework

Journal of Computational Science

Cyrus Tanade, Amanda Randles

Read more: Real-time virtual intervention for simple and serial coronary artery disease using the HarVI framework
Active processes on chromatin

Activity-driven chromatin organization during interphase: Compaction, segregation, and entanglement suppression

Proceedings of the National Academy of Sciences

Brian Chan and Michael Rubinstein

Read more: Activity-driven chromatin organization during interphase: Compaction, segregation, and entanglement suppression
Overview of chromatin organization

Theory of chromatin organization maintained by active loop extrusion

Proceedings of the National Academy of Sciences

Brian Chan and Michael Rubinstein

Read more: Theory of chromatin organization maintained by active loop extrusion
T cells examples

Establishing a massively parallel computational model of the adaptive immune response

Journal of Computational Science

Aristotle Martin, Max Nezdyur, Cyrus Tanade, Amanda Randles

Read more: Establishing a massively parallel computational model of the adaptive immune response
Graph representing data from project

Stochastic modeling of a class of stored energy functions for incompressible hyperelastic materials with uncertainties

Comptes Rendus. Mécanique

Brian Staber; Johann Guilleminot

Read more: Stochastic modeling of a class of stored energy functions for incompressible hyperelastic materials with uncertainties