Table of Contents
Berg Family’s Transformative Donation
Mayo Clinic Berg Innovation Exchange Overview
Unique Philanthropy-Driven Model
Global Healthcare Innovation Strategy
Technology Focus Areas
Future Impact and Expansion Plans
Berg Family’s Transformative Donation
Rochester, Minnesota-based Mayo Clinic has received a groundbreaking $50 million…
Table of Contents
Best Buy’s Healthcare Exit Strategy
Health Systems Double Down on Home Care
Market Consolidation Signals Maturity
The End of Tech Tourism Phase
Retail Healthcare Challenges
Future Requirements for Success
Government Support and Sustainability
Best Buy’s Healthcare Exit Strategy
The recent…
The use of Artificial Intelligence (AI) in healthcare is expanding rapidly, including in oncology. Although generic AI development and implementation frameworks exist in healthcare, no effective governance models have been reported in oncology. Our…
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This multicenter retrospective study developed and validated an AI driven model for automated segmentation and quantitative evaluation of meibomian glands using infrared meibography images acquired by the Keratograph 5M device. A total of 1350…
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Microsoft has developed an AI-enabled diagnostic system, the Microsoft AI Diagnostic Orchestrator (MAI-DxO), which can accurately diagnose complex medical cases at a rate more than four times higher than human doctors, according to a…
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Subspecialty knowledge barriers have limited the adoption of large language models (LLMs) in oncology. We introduce Woollie, an open-source, oncology-specific LLM trained on real-world data from Memorial Sloan Kettering Cancer Center (MSK) across lung,…
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Low-income populations have disproportionately low completion of recommended healthcare services, from missed vaccinations to cancer screenings. While machine learning models help identify high-risk patients for targeted treatment, they have rarely been evaluated for quality…
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What You Should Know:
– Lunit, a provider of AI for cancer diagnostics and therapeutics announced a strategic collaboration with Microsoft to accelerate the delivery of AI-powered healthcare solutions globally.
– The partnership, coupled with Lunit’s…
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Electronic health records (EHR) contain data from disparate sources, spanning various biological and temporal scales. In this work, we introduce the Multiple Embedding Model for EHR (MEME), a deep learning framework for clinical decision…
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Target trial emulation (TTE) aims to estimate treatment effects by simulating randomized controlled trials using real-world observational data. Applying TTE across distributed datasets shows great promise in improving generalizability and power but is always…
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