The First Steps to Implementing Digital Pathology and AI
A guide to understanding, implementing, and benefiting from digital pathology and artificial intelligence in the clinical lab
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A guide to understanding, implementing, and benefiting from digital pathology and artificial intelligence in the clinical lab
Recent advances in pharmacogenomic testing—and their role in ensuring safe, effective treatment selection for precision oncology
How clinical laboratories and pathology groups can ensure that their digital pathology and AI workflows are HIPAA-compliant
What labs need to know about keeping patients’ data safe when using digital pathology and artificial intelligence-based solutions
When it comes to cancer, patients’ greatest fear is diagnostic delays—and they believe digital pathology and AI can reduce those delays
As the field of genetic testing grows, genetic counselors can help labs meet patients’ needs and keep up with new developments
How the MolDX® program works, what it covers, and how it can support better test access, use, and reimbursement in the clinical lab
In an era when genetic and genomic testing are theoretically affordable and accessible, why do so many patients remain undiagnosed?
The current landscape of molecular hematopathology—and what steps clinical labs can take to stay at the forefront of the discipline
Technology experts Jaswant S. Tony and Neil Hillen explain what both clinical labs and IT departments can gain from closer collaboration