Digital Pathology Technology Has Become Valuable Tool For Clinical Trials

Digital Pathology
Digital Pathology

Digital Pathology is a rapidly expanding ecosystem of whole slide scanning and bioinformatics solutions that are revolutionizing the medical diagnostics workflow. It enables faster and more efficient diagnoses and prognoses, expanded workflow capacity, flexible collaboration, and high-quality case documentation.

One of the most important advantages of pathology is that it can be used to develop and evaluate new biomarkers. The ability to assess the expression of a range of parameters in a tissue sample using digital imaging technologies and artificial intelligence is an extremely valuable tool for clinical trials.

The estimated value of the global Digital Pathology Market is US$ 666.0 million in 2022, and it is anticipated to grow at a CAGR of 7.7% during the following five years (2022-2030).

Whether it is for the standardization of a feature or to evaluate a novel, non-routine feature, the ability to evaluate these parameters with minimal manual intervention can be very time-saving and allow for much greater consistency of results. Although there are already a variety of tools available for digital image analysis, a large amount of work remains in developing these tools to meet the specific needs of clinical trials.

There are some key issues that need to be resolved in order for pathology and image analysis to be used in clinical trials, such as establishing practice standards, linkages with international centers of excellence, and involvement of other specialists such as software engineers and information network specialists. The CM-Path working group intends to address these issues at a multidisciplinary workshop in the near future.

Due to the rising frequency of cardiovascular diseases and the growing worldwide elderly population, the global Cardiovascular Devices Market is expanding rapidly.

In addition to this, a pathology lab offers many other advantages for both the pathologist and his/her patients. For example, a digital worklist facilitates a clear overview of the current workload and offers pathologists the possibility to prioritize their work. Furthermore, a digital slide database provides an extensive archive of digitized slides that can be searched for patterns by machine learning applications. Lastly, Digital Pathology makes it possible to exchange images quickly and easily between different laboratories for second opinions or consultations.

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