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    • Anatomic & Clinical Pathology
    •  Aiforia Partners With Pathan to Bring AI Assisted Diagnostics to the Pathology Lab
      Aiforia Partners With Pathan to Bring AI Assisted Diagnostics to the Pathology Lab
    •  3DHISTECH Named as Top 10 In Vitro Diagnostic Provider in Europe 2020
      3DHISTECH Named as Top 10 In Vitro Diagnostic Provider in Europe 2020
    •  3DHISTECH Launches New Clinical Pathology Product Line
      3DHISTECH Launches New Clinical Pathology Product Line
    •  Marrowquant can quantify multiple bone components in histological images
      Marrowquant can quantify multiple bone components in histological images
    •  Leica Biosystems Unveils its Aperio GT 450 DX Digital Pathology Scanner and Delivers Excellence to Leeds Teaching Hospitals NHS Trust, UK
      Leica Biosystems Unveils its Aperio GT 450 DX Digital Pathology Scanner and Delivers Excellence to Leeds Teaching Hospitals NHS Trust, UK
    • Leica Biosystems - Aperio GT 450 DX
      Leica Biosystems launches Aperio GT 450 DX in Asia enabling high volume clinical labs to scale up digital pathology operations

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    • Byte-Sized Literature
    • Research Highlight PN Artificial Intelligence–Enabled Multi Omics for Predicting Immune Checkpoint Inhibitor Response and Resistance
      Artificial Intelligence–Enabled Multi-Omics for Predicting Immune Checkpoint Inhibitor Response and Resistance
    • Research Highlight PN Patient Perspectives on Trust in Artificial Intelligence–Powered Tools in Prostate Cancer Diagnostics
      Patient Perspectives on Trust in Artificial Intelligence – Powered Tools in Prostate Cancer Diagnostics
    • Research Highlight PN Structure Over Color Diagnostic Information in H&E Images Resides Primarily in Grayscale
      Structure Over Color: Diagnostic Information in H&E Images Resides Primarily in Grayscale
    • Research Highlight PN The Critical Role of Standards for AI in Digital Pathology Digital Pathology Association Concept Paper
      The Critical Role of Standards for AI in Digital Pathology: Digital Pathology Association Concept Paper
    • Research Highlight PN Deep learning based Breast Cancer Stage Prediction From H&E stained Whole slide Images in Resource constrained Settings
      Deep-learning-based Breast Cancer Stage Prediction From H&E-stained Whole-slide Images in Resource-constrained Settings
    • Research Highlight PN Transforming Multi omics Data Into Images for Disease Classification a Review of Techniques and Tools
      Transforming Multi-omics Data Into Images for Disease Classification: a Review of Techniques and Tools

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    • Computational Pathology & AI
    • National AI Competition to Boost Medical Imaging Diagnostics in China
      National AI Competition to Boost Medical Imaging Diagnostics in China
    • Dp98 800x600
      AI-Powered Proteogenomics Identifies Mitochondrial Signatures as Predictors of Melanoma Recurrence and Therapy Response
    • Building Trust and Accountability in Medical AI
      Building Trust and Accountability in Medical AI
    • Scaling Autonomous AI in Healthcare Without Compromising Clinical Trust
      Scaling Autonomous AI in Healthcare Without Compromising Clinical Trust
    • Research Highlight PN Development of an artificial intelligence based computer aided detection system for routine gastric biopsy diagnosis
      Development of an artificial intelligence-based computer-aided detection system for routine gastric biopsy diagnosis
    • Explore how AI is transforming oncology workflows, clinical trials, and diagnostics, from LLMs and imaging to biomarker discovery and patient outcomes.
      The Evolution of Artificial Intelligence in Oncology: Impact on Trials, Workflows, and Outcomes

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    • Conference Reports

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    • Digital pathology
    • Research Highlight PN Virtual Histology Imaging of Lymph Nodes Via Dynamic Full field Optical Coherence Tomography and Deep Learning to Differentiate Metastasis
      Virtual Histology Imaging of Lymph Nodes Via Dynamic Full-field Optical Coherence Tomography and Deep Learning to Differentiate Metastasis
    • Digital Pathology Market to Reach USD 1,791.30 Million by 2030, Growing at 9.3% CAGR: Allied Market Research
      Digital Pathology Market to Reach USD 1,791.30 Million by 2030, Growing at 9.3% CAGR: Allied Market Research
    • Inside the Asian Society of Digital Pathology Podcast with Junya Fukuoka, MD, PhD
      Inside the Asian Society of Digital Pathology | Podcast with Junya Fukuoka, MD, PhD
    • Research Highlight PN Lessons learned from three approaches to digital pathology system validation at a large academic medical institution
      Lessons learned from three approaches to digital pathology system validation at a large academic medical institution
    • Micro Highlight #34 – A First Look at the 2026 KLAS Report on Digital Pathology Lessons from Early Adopters
      Micro Highlight #34 – A First Look at the 2026 KLAS Report on Digital Pathology: Lessons from Early Adopters
    • AI Trust Issues, Challenges, and Multimodal Insights in Pathology with Hamid R. Tizhoosh, PhD
      AI Trust Issues, Challenges, and Multimodal Insights in Pathology with Hamid R. Tizhoosh, PhD

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    • Headline
    • Dp89 800x600
      Mainecoon: An Open-Source Solution for AI-Integrated Digital Pathology
    • AI Agent Automates Spatial Transcriptomics Analysis of Pancreatic Islet Development
    • Digital Pathology System Matches Traditional Microscopy in Diagnostic Accuracy
    • Dp87 800x600
      Patient-Centered Pathology Reports Dramatically Improve Understanding of Cancer Diagnosis, Study Finds
    • IMpower010: Digital Pathology Expands Identification of NSCLC Patients Eligible for Adjuvant Immunotherapy
    • GASTON: Interpretable Deep Learning Enables Topography Mapping for Spatial Gene Expression

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    • Posters

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    • Spatial Biology
    • multiplexed tissue mass spec imaging1600px feature
      Mass spectrometry-based tissue imaging: a new era in pathology
    •  Digital Spatial Profiling: Uncovering the Spatial Organization of Molecular Expression Patterns Within Tissues
      Digital Spatial Profiling: Uncovering the Spatial Organization of Molecular Expression Patterns Within Tissues
    •  New findings suggest organ tissues become increasingly immune throughout life
      New Findings Suggest Organ Tissues Become Increasingly Immune Throughout Life
    •  Multiplex imaging reveals CD40-stimulating drug helps to jumpstart a T-cell attack in early-stage pancreatic cancer
      Multiplex Imaging Reveals CD40-stimulating Drug Helps to Jumpstart a T-cell Attack in Early-stage Pancreatic Cancer
    • New technique provides detailed map of lung pathology in COVID-19
      New Technique Provides Detailed Map of Lung Pathology in COVID-19
    • pathology news digital pathology computational pathology
      Impact of multiplexing technologies on immuno-oncology research

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    • Industry News
    • Getting to Know Kary Rogers A Conversation with Proscia’s Head of Support
      Getting to Know Kary Rogers: A Conversation with Proscia’s Head of Support
    • Cytolab moves its cervical cytology screening to Techcyte SureView®
      Cytolab moves its cervical cytology screening to Techcyte SureView®
    • Pathology Bites: Bryce Brown on the recent partnership between Leica Biosystems and Diadeep.
      Pathology Bites: Bryce Brown on the recent partnership between Leica Biosystems and Diadeep.
    • Figure 1: Fine-tuning improves robustness and performance jointly. Each foundation model is shown before (open circle) and after (filled circle) fine-tuning. The x-axis is the average PathoROB robustness index over three datasets, where higher values indicate greater robustness; the y-axis is the normalized rank sum over the HEST, THUNDER and Patho-Bench benchmarks, rescaled to [0, 1] so that 1 corresponds to the best achievable performance.
      Meet Phaet and Mascaret: two pathology foundation models built to generalize across labs
    • PR Image PN 800x600 Imagene AI Joins Proscia Ready Partner Alliance to Advance AI-Powered IHC Companion Diagnostics Development
      Imagene AI Joins Proscia Ready Partner Alliance to Advance AI-Powered IHC Companion Diagnostics Development
    • Techcyte and elea Bring AI-Native Pathology Reporting into Techcyte FusionⓇ
      Techcyte and elea Bring AI-Native Pathology Reporting into Techcyte FusionⓇ

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