A5066717165- Radiomics and Machine Learning in Medical Imaging
- Advanced Biosensing Techniques and Applications
- Cancer Immunotherapy and Biomarkers
- Biosimilars and Bioanalytical Methods
- Single-cell and spatial transcriptomics
- Cell Image Analysis Techniques
- Pancreatic and Hepatic Oncology Research
- Mathematical Biology Tumor Growth
- Cancer Genomics and Diagnostics
- Statistical Methods in Clinical Trials
- Gene expression and cancer classification
- Cancer Cells and Metastasis
- Prostate Cancer Diagnosis and Treatment
- Bladder and Urothelial Cancer Treatments
- Plant and Fungal Species Descriptions
- Breast Cancer Treatment Studies
- Advanced Proteomics Techniques and Applications
- Genetic diversity and population structure
- AI in cancer detection
- Immune cells in cancer
- Epigenetics and DNA Methylation
- Colorectal Cancer Screening and Detection
- Genomics and Phylogenetic Studies
Johns Hopkins Medicine
2020-2024
Johns Hopkins University
2020-2024
Abstract Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive disease with poor 5-year survival rates, necessitating identification of novel therapeutic targets. Elucidating the biology tumor immune microenvironment (TiME) can provide vital insights into mechanisms progression. In this study, we developed quantitative image processing platform to analyze sequential multiplexed IHC data from archival PDAC tissue resection specimens. A 27-plex marker panel was employed simultaneously...
Quantitative systems pharmacology (QSP) models and spatial agent-based (ABM) are powerful efficient approaches for the analysis of biological clinical applications. Although QSP becoming essential in discovering predictive biomarkers developing combination therapies through silico virtual trials, they inadequate to capture heterogeneity randomness that characterize complex systems, specifically tumor microenvironment. Here, we extend our recently developed (spQSP) model analyze growth...
Background Concomitant inhibition of vascular endothelial growth factor (VEGF) and programmed cell death protein 1 (PD-1) or its ligand PD-L1 is a standard care for patients with advanced hepatocellular carcinoma (HCC), but only minority respond, responses are usually transient. Understanding the effects therapies on tumor microenvironment (TME) can provide insights into mechanisms therapeutic resistance. Methods 14 HCC were treated combination cabozantinib nivolumab through Johns Hopkins...
Overwhelming evidence has shown the significant role of tumor microenvironment (TME) in governing triple-negative breast cancer (TNBC) progression. Digital pathology can provide key information about spatial heterogeneity within TME using image analysis and statistics. These analyses have been applied to CD8+ T cells, but quantitative other important markers their correlations are limited. In this study, a digital computational workflow is formulated for characterizing distributions five...
Due to the lack of treatment options, there remains a need advance new therapeutics in hepatocellular carcinoma (HCC). The traditional approach moves from initial molecular discovery through animal models human trials novel systemic therapies that improve outcomes for patients with cancer. Computational methods simulate tumors mathematically describe cellular and interactions are emerging as promising tools impact therapy entirely silico, potentially greatly accelerating delivery patients....
Characterizing likelihood of response to neoadjuvant chemotherapy (NAC) in muscle-invasive bladder cancer (MIBC) is an important yet unmet challenge. In this study, a machine-learning framework developed using imaging biopsy pathology specimens generate models NAC response. Developed cross-validation (evaluable N = 66) and independent validation cohort 56), our achieve promising results (65%-73% accuracy). Interestingly, one model-using features derived from hematoxylin eosin (H&E)-stained...
Abstract Background Theaceae, comprising 300 + species, holds significance in biodiversity, economics, and culture, notably including the globally consumed tea plant. Stewartia gemmata, a species of earliest diverging tribe Stewartieae, is critical to offer insights into Theaceae's origin evolutionary history. Result We sequenced complete organelle genomes gemmata using short/long reads sequencing technologies. The chloroplast genome (158,406 bp) exhibited quadripartite structure large...
Abstract Triple-negative breast cancer (TNBC) is an aggressive subtype of with limited treatment options, which warrants identification novel therapeutic targets. Deciphering nuances in the tumor microenvironment (TME) may unveil insightful links between anti-tumor immunity and clinical outcomes, yet such connections remain underexplored. Here we employed a dataset derived from imaging mass cytometry 58 TNBC patient specimens at single-cell resolution performed in-depth quantifications suite...
<div>Abstract<p>Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive disease with poor 5-year survival rates, necessitating identification of novel therapeutic targets. Elucidating the biology tumor immune microenvironment (TiME) can provide vital insights into mechanisms progression. In this study, we developed quantitative image processing platform to analyze sequential multiplexed IHC data from archival PDAC tissue resection specimens. A 27-plex marker panel was...
<p>SpaceMarker result for all virtual patients</p>
<div>Abstract<p>Due to the lack of treatment options, there remains a need advance new therapeutics in hepatocellular carcinoma (HCC). The traditional approach moves from initial molecular discovery through animal models human trials novel systemic therapies that improve outcomes for patients with cancer. Computational methods simulate tumors mathematically describe cellular and interactions are emerging as promising tools impact therapy entirely <i>in silico</i>,...
<p>Supplementary Movie 3</p>
<p>Supplementary Movie 4</p>
<p>Supplementary Movie 3</p>
<p>Supplementary Movie 2</p>
<div>Abstract<p>Due to the lack of treatment options, there remains a need advance new therapeutics in hepatocellular carcinoma (HCC). The traditional approach moves from initial molecular discovery through animal models human trials novel systemic therapies that improve outcomes for patients with cancer. Computational methods simulate tumors mathematically describe cellular and interactions are emerging as promising tools impact therapy entirely <i>in silico</i>,...
<p>Supplemental Figure with Caption</p>
<p>Supplemental mathematical equations of the spQSP model</p>
<p>SpaceMarker result for all virtual patients</p>
<p>Supplementary Movie 1</p>
<p>Supplementary Movie 4</p>