Every medical discipline has embraced digital technology, yet Pathology remains predominantly analog, reminiscent of Gregor Mendel's era over 180 years ago. Radiology transitioned early—driven by digital CT scanners producing volumes of images too cumbersome for film, followed by direct-to-digital developments in Magnetic Resonance (MR), Ultrasound (US), Digital X-Ray, Angiography, and Mammography. This digital transformation extended toCardiology, Dentistry, and every other medical discipline with one exception.

In stark contrast, Pathology has not followed suit, largely relying on traditional, chemical or immunohistochemical processes (IHC). Converting glass slides into digital formats, known as Digital Pathology, remains an expensive and unreimbursed add-on, comparable to digitizing 35mm film—a process now obsolete in consumer photography due to digital cameras and smartphones.

Enter PathScience, pioneering Direct-to-Digital Staining. This revolutionary approach scans unstained tissue slides directly, harnessing Generative AI to theoretically produce an unlimited array of stains from a single slide with just a button press.

In an era marked by costly staining machines, high per-click reagent costs, large floor space requirements, labor shortages, and an increasing demand for rapid diagnoses, Direct-to-Digital Staining offers an innovative solution. By leveraging AI, PathScience not only accelerates the diagnostic process but also significantly reduces costs and resource use, acting as a catalyst for the pivotal shift towards Digital Pathology. This could redefine the field much like computational photography has transformed consumer imaging.