News & Updates

Pegasi News

Research findings, clinical insights, and platform updates from the Pegasi team.

Patient Data Security in Healthcare AI Platforms

The question we hear most often from hospital CIOs and clinical informatics directors before deploying any AI platform is not "does your model perform well?" It is "how do you protect patient data?"

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Understanding Multi-Modal Data Fusion in Oncology

Why combining genomic, imaging, and clinical data produces diagnostic accuracy no single source can match.

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How AI is Changing Early Cancer Detection

The diagnostic window is expanding — and machine learning is the reason why.

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The Role of Genomics in Personalized Cancer Treatment

From NGS panels to tumor mutational burden — how genetic profiling is reshaping treatment selection.

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Reducing Diagnostic Delays: From Weeks to Hours

The 21-day median diagnosis gap is a systems failure — and it has a specific, fixable architecture.

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HIPAA Compliance in AI-Powered Medical Platforms

What your compliance team should be asking every AI vendor — and what Pegasi's architecture actually does.

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How Pegasi Integrates with Epic and Cerner EMRs

FHIR R4, CDS Hooks, and the practical realities of getting AI alerts into clinical workflows.

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Biomarker Analysis and What It Means for Diagnosis

Protein, imaging, and genomic biomarkers each tell a different part of the cancer story — and integration is where the diagnosis happens.

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Building Trust with Oncologists: The Human Side of AI

Good algorithms do not guarantee clinical adoption. Here is what actually builds trust between AI systems and the physicians who use them.

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Cancer Screening Programs: Data-Driven Approaches

Why standard screening guidelines underperform for high-risk populations — and how integrated data is changing the math.

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Pathology AI: How Computer Vision Reads Tissue Slides

Whole slide imaging plus deep learning is producing pathology results that match or exceed expert reads — in seconds.

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The Tumor Board of the Future: AI-Assisted Multidisciplinary Review

How AI pre-preparation and real-time data synthesis are changing what tumor boards can accomplish in the same meeting time.

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