Ben Gross
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View article: Mortality and antibiotic timing in deep learning-derived surviving sepsis campaign risk groups: a multicenter study
Mortality and antibiotic timing in deep learning-derived surviving sepsis campaign risk groups: a multicenter study Open
Background The current Surviving Sepsis Campaign (SSC) guidelines provide recommendations on timing of administering antibiotics in sepsis patients based on probability of sepsis and presence of shock. However, there have been minimal effo…
View article: Sequential Diagnosis with Language Models
Sequential Diagnosis with Language Models Open
Artificial intelligence holds great promise for expanding access to expert medical knowledge and reasoning. However, most evaluations of language models rely on static vignettes and multiple-choice questions that fail to reflect the comple…
View article: Spatiotemporal orchestration of calcium-cAMP oscillations on AKAP/AC nanodomains is governed by an incoherent feedforward loop
Spatiotemporal orchestration of calcium-cAMP oscillations on AKAP/AC nanodomains is governed by an incoherent feedforward loop Open
The nanoscale organization of enzymes associated with the dynamics of second messengers is critical for ensuring compartmentation and localization of signaling molecules in cells. Specifically, the spatiotemporal orchestration of cAMP and …
View article: Patient and Caregiver Insights from Social Media into the Disease Burden of Myelodysplastic Syndrome With A Sub-Cohort View of High-risk Patients (Preprint)
Patient and Caregiver Insights from Social Media into the Disease Burden of Myelodysplastic Syndrome With A Sub-Cohort View of High-risk Patients (Preprint) Open
BACKGROUND Social media platforms offer valuable insights into the patient’s experience, revealing organic conversations that reflect their immediate concerns and needs. Through active listening to lived experiences, we can identify unmet…
View article: Spatiotemporal orchestration of Ca<sup>2+</sup>-cAMP oscillations on AKAP/AC nanodomains is governed by an incoherent feedforward loop
Spatiotemporal orchestration of Ca<sup>2+</sup>-cAMP oscillations on AKAP/AC nanodomains is governed by an incoherent feedforward loop Open
The nanoscale organization of enzymes associated with the dynamics of second messengers is critical for ensuring compartmentation and localization of signaling molecules in cells. Specifically, the spatiotemporal orchestration of cAMP and …
View article: Stress-driven tissue fluidization physically segments vertebrate somites
Stress-driven tissue fluidization physically segments vertebrate somites Open
Shaping functional structures during embryonic development requires both genetic and physical control. During somitogenesis, cell-cell coordination sets up genetic traveling waves in the presomitic mesoderm (PSM) that orchestrate somite fo…
View article: STRESS, an automated geometrical characterization of deformable particles for<i>in vivo</i>measurements of cell and tissue mechanical stresses
STRESS, an automated geometrical characterization of deformable particles for<i>in vivo</i>measurements of cell and tissue mechanical stresses Open
From cellular mechanotransduction to the formation of embryonic tissues and organs, mechanics has been shown to play an important role in the control of cell behavior and embryonic development. Most of our existing knowledge of how mechani…
View article: Meshless Methods for Manifolds GMLS Approximations of Hydrodynamic Responses in Curved Fluid Interfaces.
Meshless Methods for Manifolds GMLS Approximations of Hydrodynamic Responses in Curved Fluid Interfaces. Open
also provide general high-order approximations for the metric, curvature, and other geometric quantities of the manifold and associated exterior calculus operators. The approaches also can be utilized to develop high-order solvers for othe…
View article: GMLS-Nets: A framework for learning from unstructured data
GMLS-Nets: A framework for learning from unstructured data Open
Data fields sampled on irregularly spaced points arise in many applications in the sciences and engineering. For regular grids, Convolutional Neural Networks (CNNs) have been successfully used to gaining benefits from weight sharing and in…
View article: GMLS-Nets: A Framework for Learning from Unstructured Data
GMLS-Nets: A Framework for Learning from Unstructured Data Open
Data fields sampled on irregularly spaced points arise in many applications in the sciences and engineering. For regular grids, Convolutional Neural Networks (CNNs) have been successfully used to gaining benefits from weight sharing and in…