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Digital Pathology

The biggest drivers for 100 percent adoption of digital pathology

In the third of this six-part series, the experts looked at issues surrounding the transition to digital pathology. Here, the panel considered the perceived hurdles involved in making this transition, and the possible benefits of digital pathology to patient safety.

If you weren’t able to make the panel discussion, you can watch the recording here.

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Making the transition to digital pathology

In the second part of this blog series, the discussion looked at the key blockers standing in the way of the adoption of digital pathology. Here, our experts discussed the advice they’d give those just starting out on the journey to digital.

If you weren’t able to make the panel discussion, you can watch the recording here.

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The key blockers to the adoption of digital pathology

In the first part of this six-part blog series, we looked at the challenges facing the pathology department. The conversation then moved onto the key blockers standing in the way of the adoption of digital pathology.

If you weren’t able to make the panel discussion, you can watch the recording here.

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The challenges facing the pathology department

It was a pleasure to welcome key opinion leaders to a discussion on accelerating the impact of AI through 100% digitization of the pathology workflow. Chaired by Peter Hamilton, Head of Research at Philips Digital & Computational Pathology, barriers to adoption, what drives the need and how do we reap the benefits were all on the agenda.

If you weren’t able to make the panel discussion, this six-part blog series will uncover what was discussed. Alternatively, you can watch the recording here.

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How to cope with an evolving Immuno-Oncology field and changes in pathology

2018 will be remembered as a decisive year for immuno-oncology. In particular, Nobel Prize winners James Allison of MD Anderson Cancer Center in Houston, Texas, and Tasuku Honjo of Kyoto University in Japan lifted the field of immunotherapy to international recognition for those outside the scientific and medical communities. For the patient, these new alternatives to standard oncology therapies offer new hope for life-extending treatments using immunotherapy.

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Tuning Algorithms to the Histology Lab

The promise of an effective set of tools based on deep learning or other machine learning algorithms is the current buzz of the digital pathology markets. While the evolving tools, models and techniques are producing strongly positive results, there are still many factors which impact the utility and portability of models and tools being created across real-world data sets.

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Ten things you need to know about going 100% digital for primary histopathology diagnosis

Digital pathology is based on creating a digital replica of the glass slide, called whole slide image (WSI). This image is then viewed in a computer screen, which eliminates the need for using a microscope. Can you imagine working in a glassless environment, with better ergonomics and being able to immediately find the slide you need?

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The Benefits of Computational Pathology

The histological assessment of human tissue has emerged as a key challenge for the detection and treatment of cancer. Many tissue sections have to be processed in order to find those that contain cancer, which can be a timely and costly process. Similarly, procedures such as immunohistochemical scoring can be problematic for cases such as ER, PR, and HER2.

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