The Rising Role of AI-enabled Digital Pathology in Drug Discovery
The field of pathology has experienced a major shift over the past few decades. This evolution began as early as the 1960s with the pioneering efforts in telepathology. However, the concept of virtual microscopy, also known as Whole-Slide Imaging (WSI), only started gaining momentum in the life science research community during the 1990s.
What is digital pathology?
In contemporary terms, digital pathology is a specialized branch of pathology that harnesses the power of computer technology to manage data sourced from digitized specimen slides. This process transforms conventional glass slides into digital slides, facilitating more efficient analysis, management, sharing, and examination of data on computer screens. The rise in the adoption of this technology is primarily attributed to advancements in machine learning and artificial intelligence in healthcare, leading to more effective and economical diagnostic, prognostic, and disease predictive solutions.
Presently, digital pathology is a globally acknowledged term that signifies the digitization efforts within the pathology domain. Despite the technological constraints related to scanners, storage, and networks at the turn of the century, the global scientific community started showing an inclination towards digital pathology.
The integration of digital pathology in drug discovery and development
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