A5019464342- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Digital Imaging for Blood Diseases
- AI in cancer detection
- Cell Image Analysis Techniques
- Radiomics and Machine Learning in Medical Imaging
- Single-cell and spatial transcriptomics
- Medical Imaging and Analysis
- Biomedical Text Mining and Ontologies
- Astronomical Observations and Instrumentation
- Advanced Fluorescence Microscopy Techniques
- Genetics, Bioinformatics, and Biomedical Research
- Cancer Research and Treatments
- Lymphoma Diagnosis and Treatment
- Immunotherapy and Immune Responses
- Scientific Computing and Data Management
- Cancer Cells and Metastasis
Johns Hopkins University
2021-2023
Johns Hopkins Medicine
2021-2023
Bloomberg (United States)
2021-2023
Foundation Center
2023
Sidney Kimmel Comprehensive Cancer Center
2021
Next-generation tissue-based biomarkers for immunotherapy will likely include the simultaneous analysis of multiple cell types and their spatial interactions, as well distinct expression patterns immunoregulatory molecules. Here, we introduce a comprehensive platform multispectral imaging mapping parameters in tumor tissue sections with high-fidelity single-cell resolution. Image data handling components were drawn from field astronomy. Using this "AstroPath" whole-slide only six markers,...
Multispectral, multiplex immunofluorescence (mIF) microscopy has been used to great effect in research identify cellular co-expression profiles and spatial relationships within tissue, providing a myriad of diagnostic advantages. As these technologies mature, it is essential that image data from mIF microscopes reproducible standardizable across devices. We sought characterize correct differences illumination intensity spectral sensitivity between three multispectral microscopes. scanned...
<h3>Background</h3> PD-1/PD-L1 pathway blockade has improved survival in patients with advanced NSCLC. Neoadjuvant (pre-operative) anti-PD-1 plus chemotherapy was also recently approved for resectable stage II/III However, among receiving neoadjuvant anti-PD-1-based therapy, only 33–45% achieved a major pathologic response (MPR, ≤10% of residual viable tumor), highlighting the need biomarkers predicting response.<sup>1,3</sup> Based upon recent results melanoma showing that CD8+FoxP3+ cells...
The field of computational pathology has witnessed great advancements since deep neural networks have been widely applied. These usually require large numbers annotated data to train vast parameters. However, it takes significant effort annotate a histopathology dataset. We introduce light-weight and interpretable model for nuclei detection weakly-supervised segmentation. It only requires annotations on isolated nucleus, rather than all in the Besides, is generative compositional that first...