Posted 15th August 2018 by Jane Williams
At the Digital Pathology and AI Conference in New York City, it was interesting to consider the different beliefs represented about Artificial Intelligence.
Posted 6th August 2018 by Jane Williams
Machine learning is already prevalent in many industries and most pathologists are unaware how accessible machine learning is and how it can be used to augment their work or research. Applications include decision support, image analytics, process improvement, disease diagnosis and prognosis.
Posted 29th June 2018 by Jane Williams
To use a baseball analogy – there have been more games won with singles than with home runs. Home runs, when they happen, are spectacular, but they are few and far between. The journeyman single, while not the stuff of legend, gets the job done, and happens frequently. When it comes to the practical application of artificial intelligence in digital pathology, the analogy holds. The home run is machine diagnosis – replacement of the pathologist – the holy grail. The single represents baby steps which improve pathology practice, right up until the technology reaches its inevitable maturity.
Posted 1st June 2018 by Jane Williams
Pathologists identify and interpret the changes that characterise diseases in cells and tissues, both for the studying/understanding disease processes in general and obtaining clinically relevant information for individual patients. Historically, by examining biopsy specimens, pathologists identified whether a lesion was neoplastic, inflammatory, or some other broad category. As medicine evolved, the task evolved into identifying more specific classifications. For example, if it was not sufficient to make the diagnosis of cancer; it was necessary to identify the specific subtype and grade of cancer in order to inform treatment decisions that were becoming increasingly sophisticated.
Posted 28th May 2018 by Jane Williams
As the field of digital pathology continues to evolve, we are discovering new and exciting ways to use and apply the technology. Digital Pathology is entering a new era, revealing an unprecedented breadth and depth of information for cancer research and diagnosis. Whole slide imaging (WSI) will take an important role in the development of future technologies, imaging modalities and systems, and impact clinical workflows, yielding a comprehensive multi-dimensional analysis that would otherwise be impossible!
Posted 21st May 2018 by Jane Williams
An inquiry by the House of Lords’ Science & Technology Committee has identified several issues that could hamper the delivery of the Life Sciences Industrial Strategy vision1. The critical report (Life Sciences Industrial Strategy: Who’s driving the bus? 1) brings together evidence from industry, academia and the NHS. It highlights several implementation challenges which require “prompt and vigorous action by the government” to ensure that the scope of Life Sciences Industrial Strategy can be achieved.
Posted 2nd April 2018 by Jane Williams
An evaluation of the UK’s pathology capacity by Cancer Research UK (CRUK) has identified that over the next 5-10 years “there is likely to be a severe crisis.” The report highlights a 4.5% year-on-year increase in the number and complexity of histopathology requests since 2007/08; the majority of which are for the investigation of cancer.