Posted 21st November 2018 by Jane Williams
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?
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 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 14th February 2018 by Jane Williams
It was a pleasure to welcome back Miro Venturi to the Global Precision & Biomarkers Leaders Summit, our keynote speaker who spoke on the future of personalised medicine and the interplay of diseases, information and technologies. After his presentation, we sat down with him to get more of an insight into his thoughts on the future.
Big Data Analytics and Artificial Intelligence: 7 Design Principles to Empower Life Science Researchers
Posted 5th January 2018 by Jane Williams
Life sciences research is increasingly relying on big data analytics to drive scientific discovery. One of the contributing factors to this trend is the fact that researchers are confronted with a rapidly growing body of scientific literature and databases required to interpret experimental outcomes.
Posted 3rd January 2018 by Jane Williams
Artificial intelligence based applications are quickly improving and they are expected to be a game changer in many fields, including transportation and medicine.
Posted 16th October 2017 by Jane Williams
The past decade has witnessed huge advances in both scientific research and technological innovations within the drug discovery market. Here Dr James Willans, Chief Technology Officer of the not-for-profit organisation and educational charity, Lhasa Limited, discusses two significant areas that have the potential to further transform the industry over the coming years.