Digital Pathology, AI & Computational Diagnostics

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AI Identifies New Rare Disease Diagnoses in Previously Unsolved Pediatric Cases

Boston Children's Hospital study highlights how AI could help laboratories and genetic specialists uncover missed diagnoses through genome reanalysis
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Leica Offers Up Free Video of its Popular Executive War College Session

An overflow crowd came to hear four experts discuss AI use in pathology
Updated |2 min read

Open-Source Platforms Gain Momentum in Digital Pathology Infrastructure

New initiative highlights growing role of open-source software in standardizing whole-slide imaging, AI integration, and computational workflows across digital pathology
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Tempus, Yale New Haven, MSK Launch Open-Source Consortium to Advance Digital Pathology

The initiative aims to accelerate adoption of digital pathology through open-source infrastructure, standardized workflows, and AI integration
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AI Tool Uses Routine Pathology Slides to Predict Brain Tumor Recurrence Risk

AI models predicted meningioma recurrence risk and tumor subtype from routine pathology slides, potentially expanding access to molecular insights without genetic testing
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Your Model From Our Experience: Cloud First Digital Pathology in a High-Volume Regional Laboratory  

Join Dark Daily to Learn How Eastern Ontario Went Digital in the Cloud 
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Denial Trends, Appeals Insights & Agentic AI: A New Playbook for Appeal Success

Don’t miss this opportunity to understand the denial and appeals trends reshaping reimbursement—and the operational pressures labs must now navigate.
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|3 min read

Ensuring Compliance: How to Get AI Diagnostic Tools Approved for Clinical Practice

A regulatory roadmap for AI diagnostic tool development
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OpenAI’s “ChatGPT for Clinicians” Could Signal Bigger Changes Ahead for Clinical Laboratories

The new healthcare AI platform offers physicians support for documentation, research, and clinical workflows, while raising broader questions for laboratories about oversight, workflow integration, and the growing role of generative AI in healthcare
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The Bayesian Breakthrough: Transparent AI in Clinical Trials

FDA draft guidance on Bayesian methods is driving more transparent, data-driven clinical trial design
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Executive War College Organizer Offers Five Predictions Stemming from the Event

Conference producer Ashleigh Harris had a front-row seat to planning calls, content development, and speaker feedback
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Mayo Clinic, Stanford Develop Blood Test to Predict Immunotherapy Response

The liquid biopsy uses cell-free DNA to map tumor microenvironments, helping identify which patients may benefit from immunotherapy across multiple cancer types
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Roche to Acquire PathAI in a Move to Solve the Digital Pathology Integration Puzzle

By absorbing PathAI’s AISight platform, Roche aims to eliminate vendor fatigue for clinical labs and high capital hurdles that have slowed clinical adoption of AI-powered diagnostics
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