molecular pathology

Digital and Computational Pathology in Routine Diagnosis: The Nuts and Bolts of Adoption
This is an exciting time in pathology as pathology is transforming, entering into an era of rapid discoveries and technological advances based on robust advances. Next generation pathology tools, including new technological advances in anatomical pathology, are already being deployed, and many more are rapidly getting developed in research settings. The ongoing technological advances in digital whole slide imaging scanners, image visualization methods, and the integration of artificial intelligence (AI)-derived algorithms into pathology applications are already being used by some pathologists. The benefits of these tools include ease of remote access to cases via the cloud, avoidance of physical storage space, and no risk of deterioration of staining quality or breakage of slides, to name a few. There are advances in genomics, spatiomics, biomarker assessment, multiplexing, and other advanced imaging tools that can now provide single-cell and 3D information to anatomical pathologists. The focus of this course is to provide practical insights into the status of several technological advances in anatomical pathology, such as whole slide imaging, artificial intelligence, augmented reality, genomics, bioinformatics, multiplexing, and advanced imaging tools such as 3D rendering of pathology images. The speakers will provide insights into how close we are today to reaping the benefits of these tools and solutions for routine pathology practice. This course material will allow pathologists to be better prepared to adopt and implement these advances in their daily practice. Expert speakers in these areas will provide an overview of the complexities and barriers of implementing these tools for widespread adoption. Some of the barriers that will be highlighted include cost, technical glitches, interoperability, and, most importantly, professional hesitation to adopt new technology.