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Digital Pathology Analytics Market foreseeably to Witness widespread Expansion during 2022-2029

Digital Pathology

Digital pathology or virtual microscopy, as a concept, saw the light of day in the late 1900s. Year on year, it has only aided in streamlining the pathological processes virtually. With advances in tech in this space and increased adoption across the world, digital pathology analytics is poised to expand increasingly through this decade.

Digital pathology, the modern way of acquiring, managing, and interpreting pathological information digitally, dates back to its advent in the 1900s, 1986 by Weinstein to be specific. This concept aiding recording and transmission of precision vital pathological information over a distance has offset a lot of burden from the traditional pathology labs that have been on the verge of collapsing. The pandemic posed an alarming situation for the pathological sphere to use technology increasingly in streamlining sample collection and recording the same for future reference. Paving the way for better analytics in the times ahead, digital pathology analytics is set to take over the traditional way of putting out results inferred by the pathologists manually.

In the arena of digital pathology, precision digital pathology scanners are able to scan an entire glass slide showcasing accurate imaging equivalent to that put by a microscope. These digital slides can then be stored easily and shared across geographies after feeding the granular data of the sample into targeted digital pathology software applications. An array of image analyzing tools can also be used in drawing results biomarker expression within the sections of the tissue.

Despite all its capabilities, there’s some flak that the concept attracts, especially negative sentiments like, “the information systems that we use cannot integrate data from digital slides”, “some imagery can confuse the pathologist studying the sample leading to infer the results incorrectly due to the gap posed by the digital screen,” etc. However, these statements are drawn because digital pathology has still not been tapped to its entirety by a lot of pathologists to date due to multiple prevailing factors like insufficient funds to scale up the machinery, lack of sensitization on the modern-day capabilities of precision tools used for pathological purposes, etc.

Digital pathology is exceptionally vast. To start normalizing its adoption sooner, educational institutes must upgrade to help the aspirants deep learn about digital pathology. It is evident that the change is slowly coming. Digital Pathology has only thrived in its application when it came to educating individuals. From standardizing course materials and helping surface rare case studies possible through precision imagery; to helping the aspiring pathologist to learn about the slides irrespective of their physical presence, the study of histopathology in the virtual times ensued by the pandemic has showcased that digital pathology is poised to take over how traditional pathological education was conducted conventionally. In the coming years, anticipating by the end of this decade, digital pathology may have already taken over the traditional rooms that only showcase microscope-specific studies. This helps bridge the education-industry divide in the very crucial field of study, i.e., pathology.

Industry adoption of digital pathology – the benefits are immense

Moving away from the educational adoption of digital pathology, the application of digital pathology in the mainstream industry has begun and spread fast, on the back of its multitude of benefits. The foremost benefit, as aforementioned, is the workload that digital pathology has offset from the burdened pathologists. More pathologists are retiring than joining. This has let the condensed human resource offset the cumbersome manual processes, i.e., from collecting a sample to its inference. Digital pathology also certainly improves the analysis as the algorithms used for slide analysis are faster in comparison to the microscope. As the data is excessively stored on the cloud, real-time access to prior cases is also possible while also allowing predictive analytics with prolonged storage of the data.

Bringing down the errors substantially, the digital pathology analytics completely drives out the risk of slide breakage. Furthermore, barcoding averts the risk of mixing samples and their respective inferences.

Putting forth precision imagery of the tissue section, digital pathology can help surface observations of rare biomarkers and multiple angle views. A larger team of pathologists can also provide annotation while referencing the slide at the same time in rare cases. Moreover, it lets easy accessibility to the repository of the data as and when required to be pullGenesis Healthcareed up.

Encouraging remote access and flexible work schedules, digital pathology analytics enables automation and reduces dependence on outsourcing services. With a faster turnaround time, the productivity output of cases addressed improves with the application of digital pathology. Moreover, in the transfer of data, geographical boundaries are blurred in the case of digital pathological information which can be transmitted across the world in real-time seamlessly.

With this potential, the convergence of the global countries in addressing life-threatening diseases by analyzing big data of samples effectively and timely, especially in the backdrop of the novel coronavirus pandemic, digital pathology analytics is seeing its way paved to only bolster in the years to come. While the concept is still novel in India, more sensitization and improved technology can bolster digital pathology analytics’ presence to become a mainstay by the end of this decade.

(The author is Founder of Genesis Healthcare and the views expressed in the article are his own)


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