Publications

See recent publications from our team.

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  • 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
  • Publication icon

    Stochastic modeling of the Ogden class of stored energy functions for hyperelastic materials: the compressible case

    ZAMM – Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik

    Brian Staber, Johann Guilleminot

    Read more: Stochastic modeling of the Ogden class of stored energy functions for hyperelastic materials: the compressible case
  • Cover of Journal of the Mechanical Behavior of Biomedical Materials

    Stochastic hyperelastic constitutive laws and identification procedure for soft biological tissues with intrinsic variability

    Journal of the Mechanical Behavior of Biomedical Materials

    B. Staber, J. Guilleminot

    Read more: Stochastic hyperelastic constitutive laws and identification procedure for soft biological tissues with intrinsic variability