A5005339159- Cancer Immunotherapy and Biomarkers
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Cancer Genomics and Diagnostics
- Cancer Cells and Metastasis
- Single-cell and spatial transcriptomics
- Microscopic Colitis
- Cell Image Analysis Techniques
- Inflammatory Bowel Disease
- Pancreatic and Hepatic Oncology Research
- Lung Cancer Diagnosis and Treatment
- Cancer Research and Treatments
- COVID-19 diagnosis using AI
- Colorectal Cancer Surgical Treatments
- Inflammatory Biomarkers in Disease Prognosis
- Computational Drug Discovery Methods
- Image Processing Techniques and Applications
- CAR-T cell therapy research
- Lymphoma Diagnosis and Treatment
- Genital Health and Disease
- Molecular Biology Techniques and Applications
- Monoclonal and Polyclonal Antibodies Research
- Immunotherapy and Immune Responses
- Colorectal and Anal Carcinomas
- Hidradenitis Suppurativa and Treatments
Ziopharm Oncology (United States)
2022-2025
Technical University of Denmark
2018-2024
American Standard (United States)
2022
Automated detection of cancer metastases in lymph nodes has the potential to improve assessment prognosis for patients. To enable fair comparison between algorithms this purpose, we set up CAMELYON17 challenge conjunction with IEEE International Symposium on Biomedical Imaging 2017 Conference Melbourne. Over 300 participants registered website, which 23 teams submitted a total 37 before initial deadline. Participants were provided 899 whole-slide images (WSIs) developing their algorithms....
Abstract Stromal tumor-infiltrating lymphocytes (sTILs) are important prognostic and predictive biomarkers in triple-negative (TNBC) HER2-positive breast cancer. Incorporating sTILs into clinical practice necessitates reproducible assessment. Previously developed standardized scoring guidelines have been widely embraced by the research communities. We evaluated sources of variability sTIL assessment pathologists three previous ring studies. identify common challenges evaluate impact...
Digital image analysis (DIA) is used increasingly as an assisting tool to evaluate biomarkers, including human epidermal growth factor receptor 2 (HER2) in invasive breast cancer (BC). DIA can assist pathologists HER2 evaluation by presenting quantitative information about the staining APP assisted reading (AR). Concurrently, HER2-low category (HER2-1+/2+ without gene amplification) has gained prominence due newly developed antibody-drug conjugates. However, major inter- and intraobserver...
Triple-negative breast cancer (TNBC) is an aggressive and difficult-to-treat type that represents approximately 15% of all cancers. Recently, stromal tumor-infiltrating lymphocytes (sTIL) resurfaced as a strong prognostic biomarker for overall survival (OS) TNBC patients. Manual assessment has innate limitations hinder clinical adoption, the International Immuno-Oncology Biomarker Working Group (TIL-WG) therefore envisioned computational sTIL could overcome these recommended any algorithm...
Background: The introduction of Trastuzumab deruxtecan (T-Dxd) has exposed clinically significant limitations in accurately detecting HER2-low expression testing when using immunohistochemistry (IHC) assays originally developed to detect HER2 over-expression. While is widely used determine T-Dxd eligibility, no assay was ever validated as measuring low levels protein expression.
Neoadjuvant chemo-radiotherapy (nCRT) followed by surgical resection is the standard treatment strategy in patients with locally advanced rectal cancer (RC). The pathological effect of nCRT assessed determining tumor regression grade (TRG) resected tumor. Various methods exist for assessing TRG and all are performed manually pathologist an accompanying risk interobserver variation. Automated digital image analysis could be a more objective reproducible approach to evaluate TRG. This study...
Manual detection and scoring of Ki67 hotspots is difficult prone to variability, limiting its clinical utility. Automated hotspot by digital image analysis (DIA) could improve the assessment proliferation index (PI). This study compared performance DIA algorithms based on virtual dual staining (VDS) deep learning (DL) with manual PI assessment.
Summary Background Microscopic colitis (MC) is a common cause of chronic watery diarrhea. Biopsies with characteristic histological features are crucial for establishing the diagnosis. The two main subtypes collagenous (CC) and lymphocytic (LC) but incomplete forms exist. disease course remains unpredictable varying from spontaneous remission to relapsing course. Aim To identify possible predictors disease. Methods Sixty patients European prospective MC registry (PRO‐MC Collaboration) were...
Abstract The growth in cancer immunotherapy agents requires an understanding of the immune contexture tumor microenvironment (TME). Understanding multiplex staining, imaging, and analysis to obtain multi-marker phenotypes specific cells analyze their biodistribution TME. Imaging Mass Cytometry™ (IMC) is method choice for single-step staining highplex imaging FFPE tissues. tissue autofluorescent, which limits utility immunofluorescence methods. Lung colorectal (and bone, skin, etc) are highly...
Immunotherapies have changed the way how we treat cancer at all stages. The understanding of immune system in individual tumor specimens guides selection immune-modulating agents such as checkpoint inhibitors alone or combination with other therapeutic that target, modulate unleash patient's system. Despite similar histopathological diagnosis, each is unique its primary site and metastasis, also depending on previous treatment regimens genetic alterations, chromosomal instability acquired...
Abstract Understanding the rate of tumor cell growth in breast cancer specimens may be indicative disease aggressiveness, a characteristic which can used to make an informed treatment decision. The nuclear protein Ki-67 is increased cells as they prepare divide or proliferate and therefore widely proliferation marker for progression. This degree proliferation, proliferative index, commonly detailed pathology reports shared with patient care team. In this study, we utilized [K2]...
Abstract Spatial biology is the study of tissues within their own context. This has become increasingly important in immuno-oncology because need to understand complex tumor microenvironment architecture, especially regarding immune contexture and around solid tumors. The main method for understanding spatial tumors been use multi-marker staining multiplexed imaging methods FFPE sections. data used segment tissue into relevant compartments (tumor, stroma, etc.) perform multiplex phenotyping...
Abstract Pancreatic cancer remains a deadly disease due to difficulties hindering its early diagnosis, giving way metastasis of the tumor and resulting in poor prognosis. While there are many neoplasms pancreas, pancreatic invasive ductal adenocarcinoma (PDAC) is most common, treatment options few, with overall survival. Recently, several publications have demonstrated improved outcomes inclusion immunotherapy cytotoxic drug combinations some patients. However, optimally selecting patients...
e15108 Background: Understanding the rate of tumor cell growth in breast cancer specimens may be indicative disease aggressiveness, a characteristic which can used to make an informed treatment decision. The nuclear protein Ki-67 is increased cells as they prepare divide or proliferate and therefore widely proliferation marker for progression. This degree proliferation, proliferative index, commonly detailed pathology reports shared with patient care team. Methods: In this study, we utilized...
e14576 Background: Immunotherapies targeting complex programmed death-ligand 1 (PD-L1) interactions have been groundbreaking in the treatment of non-small cell lung cancer (NSCLC), offering new strategies for patients who are likely to respond. PD-L1 binds checkpoint PD-1 regulate T cells, which has an important role boosting immune response. Identifying may benefit from focused care is dependent on interpretation drug’s associated companion diagnostic (CDx) immunohistochemistry (IHC) assay....