Meeting the Needs of Laboratory Learners
The CDC’s OneLab training initiative offers free courses, events, resources, and networking opportunities for clinical lab professionals
Author Information
Michael Schubert, PhD
Michael Schubert, PhD, is a veteran science and medicine communicator. He holds graduate degrees in biochemistry and molecular biology with a research focus on chromatin structure and function and has written on subjects from subspeciality pathology to fictional science. In addition to writing and editing, he is co-director of the Digital Communications Fellowship in Pathology and Course Trainer at the Lightyear Foundation, an initiative aimed at making science accessible to all.
Posts by the Author
AI in Health Care: Balancing Benefits and Barriers
AI can help alleviate the burden on clinical labs—but only with sufficient investment, enthusiasm, and understanding
Computing the Future of the Lab
Computational biology expert Keaun Amani shares his advice and insights on AI and machine learning tools for the clinical lab
Has Your AI Been Validated?
Many artificial intelligence-based medical devices have not undergone clinical validation—but what does this mean for the lab?
Fighting the FDA’s Final Rule on LDTs
CEO Laurie Menser discusses the Association for Molecular Pathology’s court case against the FDA’s rule on laboratory-developed tests.
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
PGx Testing: First, Do No Harm
Recent advances in pharmacogenomic testing—and their role in ensuring safe, effective treatment selection for precision oncology
In (Digital) Defense of HIPAA
How clinical laboratories and pathology groups can ensure that their digital pathology and AI workflows are HIPAA-compliant
Preserving Patient Privacy in a Digital Era
What labs need to know about keeping patients’ data safe when using digital pathology and artificial intelligence-based solutions
The Demand for Digital Pathology
When it comes to cancer, patients’ greatest fear is diagnostic delays—and they believe digital pathology and AI can reduce those delays
