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Articles by Joel Eliason
Structured Schemas for Provenance-Rich, LLM-Assisted QSP Model Calibration
1 Introduction Quantitative systems pharmacology models translate mechanistic understanding of disease biology into predictions of drug response [1]. QSP models can comprise tens to hundreds of ordinary differential equations, and calibration requires data from diverse sources including targeted experimental studies and clinical endpoints [2, 3].
"Characterizing Spatial Immune Architecture in Metastatic Melanoma Usin" by Joel Eliason, Santhoshi Krishnan et al.
Frontiers in Immunology Humans, Melanoma, Tumor Microenvironment, Female, Male, Lymphocytes, Tumor-Infiltrating, Neoplasm Staging, Skin Neoplasms, Middle Aged, Neoplasm Metastasis, Prognosis, Killer Cells, Natural, Tissue Array Analysis, Biomarkers, Tumor, tumor immune microenvironment (TIME), immune exclusion, spatial immune profiling, inflammatory biomarkers, melanoma progression, prognostic immune signatures, inflammatory signaling pathways, immune cell crosstalk 10.3389/fimmu.2025.1560778...
Weak Synchronization in Excitatory - Inhibitory Neuronal Networks
Keywords weak synchronization, inhibitory neuronal networks, nervous system College Physical and Mathematical Sciences Abstract One ubiquitously observed dynamic phenomenon in the nervous system is that of weak synchronization or clustering, a behavior in which a large group of neurons in a population will all fire synchronously and then fall out of synchronization.
Investigating Ecological Interactions in the Tumor Microenvironment using Joint Species Distribution Models for Point Patterns
Abstract The tumor microenvironment (TME) is a complex and dynamic ecosystem that involves interactions between different cell types, such as cancer cells, immune cells, and stromal cells. These interactions can promote or inhibit tumor growth and affect response to therapy. Multitype Gibbs point process (MGPP) models are statistical models used to study the spatial distribution and interaction of different types of objects, such as the distribution of cell types in a tissue sample.
DIMPLE: AN R PACKAGE TO QUANTIFY, VISUALIZE, AND MODEL SPATIAL CELLULAR INTERACTIONS FROM MULTIPLEX IMAGING WITH DISTANCE MATRICES
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DIMPLE: AN R PACKAGE TO QUANTIFY, VISUALIZE, AND MODEL SPATIAL CELLULAR INTERACTIONS FROM MULTIPLEX IMAGING WITH DISTANCE MATRICES
This is a preprint. It has not yet been peer reviewed by a journal. The National Library of Medicine is running a pilot to include preprints that result from research funded by NIH in PMC and PubMed. bioRxiv. Display options Format doi: 10.1101/2023.07.20.548170.
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