💡💡💡New thinking and approaches to address major health challenges = four new briefings from PHG Foundation.
👉Geroscience
👉Pathomics
👉Infection & autoimmune disease
👉Gene therapy & type 1 diabetes
Find out where these are now, and where they might be heading:
www.phgfoundation.org/research/inn...
👉Geroscience
👉Pathomics
👉Infection & autoimmune disease
👉Gene therapy & type 1 diabetes
Find out where these are now, and where they might be heading:
www.phgfoundation.org/research/inn...
Innovations for health - PHG Foundation
Innovations for health is PHG's horizon-scanning programme on the emerging biomedical technologies that might shape future healthcare
www.phgfoundation.org
January 29, 2025 at 11:03 AM
💡💡💡New thinking and approaches to address major health challenges = four new briefings from PHG Foundation.
👉Geroscience
👉Pathomics
👉Infection & autoimmune disease
👉Gene therapy & type 1 diabetes
Find out where these are now, and where they might be heading:
www.phgfoundation.org/research/inn...
👉Geroscience
👉Pathomics
👉Infection & autoimmune disease
👉Gene therapy & type 1 diabetes
Find out where these are now, and where they might be heading:
www.phgfoundation.org/research/inn...
Integrated Multi-Omics and Pathomics Analysis for Prognostic Modeling of Hepatocellular Carcinoma Reveals Oxidative Stress-Driven Immunometabolic Regulatory Mechanisms #SingleCell 🧪🧬🖥️
https://www.researchsquare.com/article/rs-7489138/latest
https://www.researchsquare.com/article/rs-7489138/latest
November 3, 2025 at 8:01 AM
Integrated Multi-Omics and Pathomics Analysis for Prognostic Modeling of Hepatocellular Carcinoma Reveals Oxidative Stress-Driven Immunometabolic Regulatory Mechanisms #SingleCell 🧪🧬🖥️
https://www.researchsquare.com/article/rs-7489138/latest
https://www.researchsquare.com/article/rs-7489138/latest
Paul H. Acosta, Pingjun Chen, Simon P. Castillo, Maria Esther Salvatierra, Yinyin Yuan, Xiaoxi Pan
CellSymphony: Deciphering the molecular and phenotypic orchestration of cells with single-cell pathomics
https://arxiv.org/abs/2508.10232
CellSymphony: Deciphering the molecular and phenotypic orchestration of cells with single-cell pathomics
https://arxiv.org/abs/2508.10232
August 15, 2025 at 9:05 AM
Paul H. Acosta, Pingjun Chen, Simon P. Castillo, Maria Esther Salvatierra, Yinyin Yuan, Xiaoxi Pan
CellSymphony: Deciphering the molecular and phenotypic orchestration of cells with single-cell pathomics
https://arxiv.org/abs/2508.10232
CellSymphony: Deciphering the molecular and phenotypic orchestration of cells with single-cell pathomics
https://arxiv.org/abs/2508.10232
Mohammad R. Salmanpour, et al.: Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0 https://arxiv.org/abs/2505.14926 https://arxiv.org/pdf/2505.14926 https://arxiv.org/html/2505.14926
May 22, 2025 at 6:12 AM
Mohammad R. Salmanpour, et al.: Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0 https://arxiv.org/abs/2505.14926 https://arxiv.org/pdf/2505.14926 https://arxiv.org/html/2505.14926
Kicking off the first session with talks by Constantino Carlos Reyes-Aldasoro and myself. I'll be presenting POPIDD, a Pathomics Platform for Integrative Discovery and Diagnostics in Cancer. For more info and the slide check out my post here: https://fercrcode.github.io/posts/POPIDD/
January 29, 2025 at 11:45 AM
Kicking off the first session with talks by Constantino Carlos Reyes-Aldasoro and myself. I'll be presenting POPIDD, a Pathomics Platform for Integrative Discovery and Diagnostics in Cancer. For more info and the slide check out my post here: https://fercrcode.github.io/posts/POPIDD/
Pathobiological Dictionary for Liver Cancer (LCP1.0), a practical framework designed to translate complex Pathomics and Radiomics Features (PF and RF) into clinically meaningful insights aligned with existing diagnostic workflows. QuPath and [2/8 of https://arxiv.org/abs/2505.14926v1]
May 22, 2025 at 6:12 AM
Pathobiological Dictionary for Liver Cancer (LCP1.0), a practical framework designed to translate complex Pathomics and Radiomics Features (PF and RF) into clinically meaningful insights aligned with existing diagnostic workflows. QuPath and [2/8 of https://arxiv.org/abs/2505.14926v1]
Pathomics, a digital pathology technique, enables the extraction of extensive datasets from whole-slide histopathological images, allowing for quantitative analyses to improve HCC management.
September 23, 2025 at 11:24 AM
Pathomics, a digital pathology technique, enables the extraction of extensive datasets from whole-slide histopathological images, allowing for quantitative analyses to improve HCC management.
Pathology-based models reported accuracies up to 100% for early cancer detection and AUCs up to 0.92 for treatment response prediction. Combining radiomics and pathomics further improved outcomes. Key challenges included algorithmic bias and limited data diversity.
November 6, 2025 at 3:49 AM
Pathology-based models reported accuracies up to 100% for early cancer detection and AUCs up to 0.92 for treatment response prediction. Combining radiomics and pathomics further improved outcomes. Key challenges included algorithmic bias and limited data diversity.
More than meets the eye: predicting adrenocortical carcinoma outcomes with pathomics by Jianqiu Kong et al
EJE Volume 192, Issue 1, January 2025
Full paper 👉 doi.org/10.1093/ejen...
ESE Members free access via 👉 my.ese-hormones.org
EJE Volume 192, Issue 1, January 2025
Full paper 👉 doi.org/10.1093/ejen...
ESE Members free access via 👉 my.ese-hormones.org
More than meets the eye: predicting adrenocortical carcinoma outcomes with pathomics
AbstractBackground. Adrenocortical carcinoma (ACC) is a rare, aggressive malignancy with high recurrence rates and poor prognosis. Current prognostic model
doi.org
February 12, 2025 at 10:06 AM
More than meets the eye: predicting adrenocortical carcinoma outcomes with pathomics by Jianqiu Kong et al
EJE Volume 192, Issue 1, January 2025
Full paper 👉 doi.org/10.1093/ejen...
ESE Members free access via 👉 my.ese-hormones.org
EJE Volume 192, Issue 1, January 2025
Full paper 👉 doi.org/10.1093/ejen...
ESE Members free access via 👉 my.ese-hormones.org
Machine Learning Advances LungPro Bronchoscopy Accuracy
In a groundbreaking advancement at the intersection of artificial intelligence and pulmonary medicine, researchers have engineered a novel pathomics-based machine learning model aimed at radically improving the diagnostic precision of LungPro…
In a groundbreaking advancement at the intersection of artificial intelligence and pulmonary medicine, researchers have engineered a novel pathomics-based machine learning model aimed at radically improving the diagnostic precision of LungPro…
Machine Learning Advances LungPro Bronchoscopy Accuracy
In a groundbreaking advancement at the intersection of artificial intelligence and pulmonary medicine, researchers have engineered a novel pathomics-based machine learning model aimed at radically improving the diagnostic precision of LungPro navigational bronchoscopy in detecting peripheral lung lesions. This retrospective study harnesses state-of-the-art computational techniques to amplify diagnostic accuracy, potentially reshaping how clinicians approach lung cancer detection and management. LungPro navigational bronchoscopy, a minimally invasive imaging-guided technique, is critical for diagnosing peripheral pulmonary lesions, which often pose formidable diagnostic challenges due to their subtle presentation and complex anatomical locations.
scienmag.com
September 26, 2025 at 11:26 AM
Machine Learning Advances LungPro Bronchoscopy Accuracy
In a groundbreaking advancement at the intersection of artificial intelligence and pulmonary medicine, researchers have engineered a novel pathomics-based machine learning model aimed at radically improving the diagnostic precision of LungPro…
In a groundbreaking advancement at the intersection of artificial intelligence and pulmonary medicine, researchers have engineered a novel pathomics-based machine learning model aimed at radically improving the diagnostic precision of LungPro…
Just wrapped up an incredible few days in Germany! All things heparan sulphate, melanoma and vasculature with Christian Gorzelanny’s team in Hamburg, then kidneys pathomics and clinical translation with Peter Boor and the LaBooratory in Aachen! 👩🏼🔬
April 16, 2025 at 3:21 PM
Just wrapped up an incredible few days in Germany! All things heparan sulphate, melanoma and vasculature with Christian Gorzelanny’s team in Hamburg, then kidneys pathomics and clinical translation with Peter Boor and the LaBooratory in Aachen! 👩🏼🔬
🚀First time joining #ENAR2025 and ✨Grateful to share our lab's work leveraging #singlecell #spatial #pathomics #radiomics to understand resistance/response in #cancer #immunotherapy.
Had a wonderful time discussing #statistics & #quantitative sciences for #biological #clinical impact w my peers!!
Had a wonderful time discussing #statistics & #quantitative sciences for #biological #clinical impact w my peers!!
March 27, 2025 at 3:29 PM
🚀First time joining #ENAR2025 and ✨Grateful to share our lab's work leveraging #singlecell #spatial #pathomics #radiomics to understand resistance/response in #cancer #immunotherapy.
Had a wonderful time discussing #statistics & #quantitative sciences for #biological #clinical impact w my peers!!
Had a wonderful time discussing #statistics & #quantitative sciences for #biological #clinical impact w my peers!!
Mark S. Keller, et al.: Interactive visualization of kidney micro-compartmental segmentations and associated pathomics on whole slide images https://arxiv.org/abs/2510.19499 https://arxiv.org/pdf/2510.19499 https://arxiv.org/html/2510.19499
October 23, 2025 at 6:50 AM
Mark S. Keller, et al.: Interactive visualization of kidney micro-compartmental segmentations and associated pathomics on whole slide images https://arxiv.org/abs/2510.19499 https://arxiv.org/pdf/2510.19499 https://arxiv.org/html/2510.19499
RRID:SCR_018257 was used by the authors of the Rxiv paper "Eco-evolutionary Guided Pathomics Analysis to Predict DCIS Upstaging". Thank you for making your methods matter! #RRID #methodsmatter
doi.org
April 5, 2025 at 7:00 AM
RRID:SCR_018257 was used by the authors of the Rxiv paper "Eco-evolutionary Guided Pathomics Analysis to Predict DCIS Upstaging". Thank you for making your methods matter! #RRID #methodsmatter
The study highlights the emergence of pathological foundation models that are reshaping traditional paradigms and paving the way for specialized pathomics models tailored to specific clinical tasks in HCC.
September 23, 2025 at 11:24 AM
The study highlights the emergence of pathological foundation models that are reshaping traditional paradigms and paving the way for specialized pathomics models tailored to specific clinical tasks in HCC.
CellSymphony: Deciphering the molecular and phenotypic orchestration of cells with single-cell pathomics #SingleCell 🧪🧬🖥️
https://arxiv.org/abs/2508.10232
https://arxiv.org/abs/2508.10232
August 15, 2025 at 7:01 AM
CellSymphony: Deciphering the molecular and phenotypic orchestration of cells with single-cell pathomics #SingleCell 🧪🧬🖥️
https://arxiv.org/abs/2508.10232
https://arxiv.org/abs/2508.10232
Acosta, Chen, Castillo, Salvatierra, Yuan, Pan: CellSymphony: Deciphering the molecular and phenotypic orchestration of cells with single-cell pathomics https://arxiv.org/abs/2508.10232 https://arxiv.org/pdf/2508.10232 https://arxiv.org/html/2508.10232
August 15, 2025 at 6:30 AM
Acosta, Chen, Castillo, Salvatierra, Yuan, Pan: CellSymphony: Deciphering the molecular and phenotypic orchestration of cells with single-cell pathomics https://arxiv.org/abs/2508.10232 https://arxiv.org/pdf/2508.10232 https://arxiv.org/html/2508.10232
Interactive visualization of kidney micro-compartmental segmentations and associated pathomics on whole slide images [new]
Web tool: Interactive kidney micro-compartment visualization & pathomics on WSIs using std. data.
Web tool: Interactive kidney micro-compartment visualization & pathomics on WSIs using std. data.
October 23, 2025 at 3:53 AM
Interactive visualization of kidney micro-compartmental segmentations and associated pathomics on whole slide images [new]
Web tool: Interactive kidney micro-compartment visualization & pathomics on WSIs using std. data.
Web tool: Interactive kidney micro-compartment visualization & pathomics on WSIs using std. data.
The #HEPEX Hepatic Experimental Lab at @meduniwien.ac.at and @cemm.oeaw.ac.at works on Disease-driving #Pathomechanisms in #Liver #Fibrosis & #PortalHypertension
🕸️ #Macrophages in #Fibrosis Resolution
🤖 #MachineLearning & #Pathomics in #LiverHistology
🦠 #Gut-Liver-Axis
🩸 #Anticoagulation
🕸️ #Macrophages in #Fibrosis Resolution
🤖 #MachineLearning & #Pathomics in #LiverHistology
🦠 #Gut-Liver-Axis
🩸 #Anticoagulation
June 19, 2025 at 1:59 PM
The #HEPEX Hepatic Experimental Lab at @meduniwien.ac.at and @cemm.oeaw.ac.at works on Disease-driving #Pathomechanisms in #Liver #Fibrosis & #PortalHypertension
🕸️ #Macrophages in #Fibrosis Resolution
🤖 #MachineLearning & #Pathomics in #LiverHistology
🦠 #Gut-Liver-Axis
🩸 #Anticoagulation
🕸️ #Macrophages in #Fibrosis Resolution
🤖 #MachineLearning & #Pathomics in #LiverHistology
🦠 #Gut-Liver-Axis
🩸 #Anticoagulation
The model outperformed clinical, #radiomics, and pathomics models, showing strong predictive accuracy.
#EuropeanRadiology #RadSky
🔗 link.springer.com/article/10.1...
#EuropeanRadiology #RadSky
🔗 link.springer.com/article/10.1...
A radiopathomics model for predicting large-number cervical lymph node metastasis in clinical N0 papillary thyroid carcinoma - European Radiology
Objectives This study aimed to develop a multimodal radiopathomics model utilising preoperative ultrasound (US) and fine-needle aspiration cytology (FNAC) to predict large-number cervical lymph node…
link.springer.com
March 26, 2025 at 2:00 PM
The model outperformed clinical, #radiomics, and pathomics models, showing strong predictive accuracy.
#EuropeanRadiology #RadSky
🔗 link.springer.com/article/10.1...
#EuropeanRadiology #RadSky
🔗 link.springer.com/article/10.1...
Keynote speaker Anant Madabhushi, PhD, shared work on AI-enabled Pathomics—leveraging AI to identify and validate “digital biomarkers”, from radiology/pathology images to omics, for prognostication & treatment response prediction. #IMS24
September 25, 2024 at 4:08 PM
Keynote speaker Anant Madabhushi, PhD, shared work on AI-enabled Pathomics—leveraging AI to identify and validate “digital biomarkers”, from radiology/pathology images to omics, for prognostication & treatment response prediction. #IMS24
Glad to join the Crick Bioimage Analysis Symposium for the second time (first in person!). Looking forward to two days of cool science, analyses, and technologies! @thecrick
#cbias2024 #ImageAnalysis #bioinformatics #napari #pathology #pathomics
#cbias2024 #ImageAnalysis #bioinformatics #napari #pathology #pathomics
November 25, 2024 at 7:04 PM
Glad to join the Crick Bioimage Analysis Symposium for the second time (first in person!). Looking forward to two days of cool science, analyses, and technologies! @thecrick
#cbias2024 #ImageAnalysis #bioinformatics #napari #pathology #pathomics
#cbias2024 #ImageAnalysis #bioinformatics #napari #pathology #pathomics
🔹 Lodovica Zullo presented yesterday the results of a pathomics-based prediction analysis of thymic epithelial tumor subtypes.
@ascocancer.bsky.social #ASCO25 #ASCO
@ascocancer.bsky.social #ASCO25 #ASCO
June 2, 2025 at 7:45 AM
🔹 Lodovica Zullo presented yesterday the results of a pathomics-based prediction analysis of thymic epithelial tumor subtypes.
@ascocancer.bsky.social #ASCO25 #ASCO
@ascocancer.bsky.social #ASCO25 #ASCO
🚨New Paper Alert🚨 by zeelab.org member @super-jrub.bsky.social! CLUstering Structured laSSO (CLUSSO) is a new statistical method for using pathomics data to predict outcomes, motivated by kidney biopsy images which have differing numbers of glomeruli, tubules, etc, resulting in unbalanced data.
March 5, 2025 at 7:27 PM
🚨New Paper Alert🚨 by zeelab.org member @super-jrub.bsky.social! CLUstering Structured laSSO (CLUSSO) is a new statistical method for using pathomics data to predict outcomes, motivated by kidney biopsy images which have differing numbers of glomeruli, tubules, etc, resulting in unbalanced data.
selection algorithm combined with the SVM model achieved the highest accuracy (0.80, P-value less than 0.05), selecting 20 key features, primarily clinical and pathomics traits such as Centroid, Cell Nucleus, and Cytoplasmic characteristics. These [6/8 of https://arxiv.org/abs/2505.14926v1]
May 22, 2025 at 6:12 AM
selection algorithm combined with the SVM model achieved the highest accuracy (0.80, P-value less than 0.05), selecting 20 key features, primarily clinical and pathomics traits such as Centroid, Cell Nucleus, and Cytoplasmic characteristics. These [6/8 of https://arxiv.org/abs/2505.14926v1]