Benjamin Shields
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View article: LucidAtlas$: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations
LucidAtlas$: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations Open
The goal of this work is to develop principled techniques to extract information from high dimensional data sets with complex dependencies in areas such as medicine that can provide insight into individual as well as population level varia…
View article: Improving Craniofacial Team Collaboration: A Multicenter Interview Study of Effective Team Meetings
Improving Craniofacial Team Collaboration: A Multicenter Interview Study of Effective Team Meetings Open
Objective: In the USA, the American Cleft Palate Association-Craniofacial Association (ACPA-CPF) specifies guidelines to ensure craniofacial teams function in a multidisciplinary fashion to provide care in a sequence that mirrors the patie…
View article: Targeting LMO2-induced autocrine FLT3 signalling to overcome chemoresistance in early T-cell precursor acute lymphoblastic leukemia
Targeting LMO2-induced autocrine FLT3 signalling to overcome chemoresistance in early T-cell precursor acute lymphoblastic leukemia Open
Early T-cell Precursor Acute Lymphoblastic Leukemia (ETP-ALL) is characterised by aberrant expression of the LMO2-LYL1 stem-cell transcription factor complex, activating mutations of cytokine receptor signalling and poor response to intens…
View article: Improving Craniofacial Team Collaboration: A Multicenter Interview Study of Effective Team Meetings
Improving Craniofacial Team Collaboration: A Multicenter Interview Study of Effective Team Meetings Open
Diverse groups of disciplines are expected to come together during craniofacial multidisciplinary meetings to formulate intricate care plans for complex patients. In this study, craniofacial team members have identified several key factors…
View article: MDFit: Automated molecular simulations workflow enables high throughput assessment of ligands-protein dynamics
MDFit: Automated molecular simulations workflow enables high throughput assessment of ligands-protein dynamics Open
Molecular dynamics (MD) simulation is a powerful tool for characterizing ligand-protein conformational dynamics and offers significant advantages over docking and other rigid structure-based computational methods. However, setting up, runn…
View article: Scoring Methods in Lead Optimization of Molecular Glues
Scoring Methods in Lead Optimization of Molecular Glues Open
Efficiency metrics are a simple and effective medicinal chemistry tool to track small molecule progress toward a preferred profile in lead optimization. Targeted protein degradation can be mediated by small molecules that act as a molecula…
View article: 1538 Cytokine checkpoint discovery in human NK cells
1538 Cytokine checkpoint discovery in human NK cells Open
Background Natural Killer (NK) cells can detect and eliminate virally-infected and malignant cells. As such, major efforts are underway to identify pathways that regulate these protective immune functions and exploit these for novel anti-c…
View article: Scoring Methods in Lead Optimization of Molecular Glues
Scoring Methods in Lead Optimization of Molecular Glues Open
Efficiency metrics are a simple and effective medicinal chemistry tool to track small molecule progress toward a preferred profile in lead optimization. Targeted protein degradation can be mediated by small molecules that act as a molecula…
View article: Scoring Methods in Lead Optimization of Molecular Glues
Scoring Methods in Lead Optimization of Molecular Glues Open
Efficiency metrics are a simple and effective medicinal chemistry tool to track small molecule progress toward a preferred profile in lead optimization. Targeted protein degradation can be mediated by small molecules that act as a molecula…
View article: Reinforcement learning prioritizes general applicability in reaction optimization
Reinforcement learning prioritizes general applicability in reaction optimization Open
Reaction conditions that are generally applicable to a wide variety of substrates are highly desired. While many approaches exist to evaluate the general applicability of developed conditions, a universal approach to efficiently discover s…
View article: Generating missing patient anatomy from partially acquired cone-beam computed tomography images using deep learning: a proof of concept
Generating missing patient anatomy from partially acquired cone-beam computed tomography images using deep learning: a proof of concept Open
View article: NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation Open
Deep implicit functions (DIFs) have emerged as a powerful paradigm for many computer vision tasks such as 3D shape reconstruction, generation, registration, completion, editing, and understanding. However, given a set of 3D shapes with ass…
View article: PS925 LMO2‐INDUCED MURINE T‐CELL ACUTE LYMPHOBLASTIC LEUKEMIA FREQUENTLY EVOLVES TO ONCOGENE INDEPENDENCE
PS925 LMO2‐INDUCED MURINE T‐CELL ACUTE LYMPHOBLASTIC LEUKEMIA FREQUENTLY EVOLVES TO ONCOGENE INDEPENDENCE Open
Background: LMO2 is an oncogenic transcription factor that is frequently overexpressed in T‐cell acute lymphoblastic leukemia (T‐ALL) including poor prognosis Early T‐cell Precursor‐like ALL (ETP‐ALL). In transgenic mouse models, LMO2 over…