A5077659746- Radiomics and Machine Learning in Medical Imaging
- Inflammatory Bowel Disease
- Colorectal Cancer Screening and Detection
- Genetic factors in colorectal cancer
- Neuroendocrine Tumor Research Advances
- AI in cancer detection
- Thyroid Cancer Diagnosis and Treatment
- Cancer Genomics and Diagnostics
- Celiac Disease Research and Management
- Pituitary Gland Disorders and Treatments
- Liver Disease Diagnosis and Treatment
- Ovarian cancer diagnosis and treatment
- Cancer-related molecular mechanisms research
- Microscopic Colitis
- BRCA gene mutations in cancer
- Helminth infection and control
- Veterinary medicine and infectious diseases
- Peptidase Inhibition and Analysis
- Liver Diseases and Immunity
- IgG4-Related and Inflammatory Diseases
- Immunotoxicology and immune responses
- Medical and Biological Sciences
- Gastrointestinal disorders and treatments
- Endometrial and Cervical Cancer Treatments
- Colorectal Cancer Treatments and Studies
PathAI (United States)
2022-2024
Critical Path Institute
2022-2024
Brigham and Women's Hospital
2020-2024
Harvard University
2020-2024
Royal North Shore Hospital
2017-2018
North Shore Hospital
2017
Nepean Hospital
2017
Medullary thyroid carcinoma (MTC) is an aggressive neuroendocrine tumor (NET) arising from the calcitonin-producing C cells. Unlike other NETs, there no widely accepted pathologic grading scheme. In 2020, two groups separately developed slightly different schemes (the Memorial Sloan Kettering Cancer Center and Sydney grade) on basis of proliferative activity (mitotic index and/or Ki67 index) necrosis. Building this work, we sought to unify validate internationally scheme for MTC.Tumor tissue...
Ulcerative colitis is a chronic inflammatory bowel disease that characterized by relapsing and remitting course. Assessment of activity critically informs treatment decisions. In addition to endoscopic remission, histologic remission emerging as target key factor in the evaluation therapeutic efficacy. However, manual pathologist semiquantitative limited granularity. Machine learning approaches are increasingly being developed aid pathologists accurate reproducible scoring histology,...
Inflammatory myofibroblastic tumor (IMT) of the female genital tract is under-recognized. We investigated prevalence ALK-positive IMT in lesions previously diagnosed as gynecologic smooth muscle tumors. Immunohistochemistry (IHC) for ALK was performed on tissue microarrays unselected tumors resected from 2009 to 2013. Three 1176 (0.26%) "leiomyomas" and 1 44 (2.3%) "leiomyosarcomas" were IHC positive, confirmed translocated by fluorescence situ hybridization (FISH) therefore more...
Purpose: The prognostic importance of RET and RAS mutations their relationship to clinicopathologic parameters outcomes in medullary thyroid carcinoma (MTC) need be clarified.
Aims Recently, there have been attempts to improve prognostication and therefore better guide treatment for patients with medullary thyroid carcinoma (MTC). In 2022, the International MTC Grading System (IMTCGS) was developed validated using a multi‐institutional cohort of 327 patients. The aim current study build upon findings IMTCGS develop validate prognostic nomogram predict recurrence‐free survival (RFS) in MTC. Methods Results Data from 300 five centres across USA, Europe, Australia...
Pathology is the study of microscopic inspection tissue, and a pathology diagnosis often medical gold standard to diagnose disease. images provide unique challenge for computer-vision-based analysis: single Whole Slide Image (WSI) gigapixel-sized contains hundreds thousands millions objects interest across multiple resolutions. In this work, we propose PathoLogy Universal TransfOrmer (PLUTO): light-weight FM that pre-trained on diverse dataset 195 million image tiles collected from sites...
Tumour grade and RET mutation status, especially the presence of high-risk exon 15 16 mutations, have been reported to be prognostic in patients with sporadic medullary thyroid carcinoma (MTC). The aims our study were evaluate performance two recently proposed grading systems assess association between genotype a cohort MTCs.We identified 44 MTCs. All available tumour slides examined, cases assigned on basis either mitotic count necrosis, or count, Ki-67 proliferative index, as described...
Abstract Background: Understanding the composition of cancer-associated stroma (CAS) is vital, as number and location immune cells fibroblasts, well degree extracellular matrix deposition, have implications for cancer progression response to treatment, including in non-small cell lung (NSCLC). Manual analysis CAS does not fully describe stromal milieu, especially from a spatial perspective, highly subjective. To this end, we developed an unsupervised machine learning (ML) model characterize...
Abstract Histological assessment is essential for the diagnosis and management of celiac disease. Current scoring systems, including modified Marsh (Marsh–Oberhuber) score, lack inter-pathologist agreement. To address this unmet need, we aimed to develop a fully automated, quantitative approach histology characterisation Convolutional neural network models were trained using pathologist annotations hematoxylin eosin-stained biopsies disease mucosa normal duodenum identify cells, tissue...
Abstract BACKGROUND Microscopic inflammation has been shown to be an important indicator of disease activity in ulcerative colitis (UC). However, manual histologic scoring is semi-quantitative and subject interobserver variation, AI-based solutions often lack interpretability. Here we report two distinct quantitative approaches predict scores histological remission using AI-powered digital pathology. Both the random forest classifier (RFC) graph neural network (GNN) further provide...
Abstract Background: Many cancers are known to involve a desmoplastic stromal reaction. While cancer-associated stroma (CAS) has long been appreciated histologically, single-cell molecular analyses have revealed its heterogeneity, and the cellular composition of CAS linked prognosis in several cancer types, including NSCLC. pathologists sought manually classify based on collagen architecture or nuclear density, this approach not sufficiently captured heterogeneity CAS. To end, we developed...
Abstract Ulcerative colitis (UC) is a chronic inflammatory bowel disease that characterized by relapsing and remitting course. Appropriate assessment of activity critical for adequate treatment decisions. In addition to endoscopic mucosal healing, histologic remission emerging as target key factor in the evaluation therapeutic efficacy. However, there no standardized definition remission, limiting utility scoring, manual pathologist subject intra-and inter-observer variability. Machine...
<h3>Background</h3> Somatic isocitrate dehydrogenase 1 mutations (<i>IDH1</i>m) convert α-ketoglutarate to the oncogenic metabolite R-2-hydroxyglutarate (2-HG). <i>IDH1</i>m are detected in approximately 13% of intrahepatic cholangiocarcinomas (CCAs).<sup>1</sup> Ivosidenib, an oral inhibitor IDH1m protein inhibits 2-HG and restores immune response CCA.<sup>2</sup> We analyzed pre-treatment samples, using machine learning models quantify histologic features CCA tumor microenvironment,...
Abstract BACKGROUND Histology is emerging as a key therapeutic endpoint for ulcerative colitis driven by associations between histologic response and long-term outcomes. However, existing scoring systems are subjective consequently have variable inter- intra-reader variability. Geboes well-established system assessment that has previously been used to define thresholds histo-endoscopic mucosal improvement (Geboes Score ≤3.1, together with Mayo score 0 or 1) remission &lt;2). Here we...