Posted 13th November 2019 by Joshua Sewell
This blog was published on Clarivate’s Cortellis blog. It is reproduced here with their kind permission.
A fascinating range of insights into the ways in which the immune system can be harnessed to fight cancer was provided by Global Engage’s Immuno-Oncology Research & Technology Series meeting held in October in London. The conference comprised five concurrent tracks covering cutting-edge developments in fields such as cell therapies, novel antibodies and neoantigens. Some of the highlights tracked by the Cortellis team are presented below.
Deep Learning based detection of tumor tissue compartments improves prognostic immunoprofiling in muscle-invasive bladder cancer
Posted 11th November 2019 by Liv Sewell
Worldwide, bladder cancer (BC) is the 11th most commonly diagnosed cancer. In men, BC is the 7thmost commonly diagnosed cancer worldwide.Although men are more likely to develop BC than women, women present with more advanced disease and have worse survival rates.
Muscle-invasive bladder cancers (MIBC) are cancers that have grown into or through the muscle layers of the bladder wall.
Dr. Katharina Nekolla and Ansh Kapil and their team applied Deep Learning enabled pathology to better understand prognostic factors in MIBC. Here we review the significance of the research and share their original poster.
Posted 8th November 2019 by Joshua Sewell
The effect of sleep on the microbiome of the host has been a topic of interest among researchers for the past several years. Studies have yielded opposing results in how short sleep affects the microbiome. While some showed a significant change in Firmicutes to Bacteroidetes ratio, others found no microbial change following short-term sleep restriction.
Posted 6th November 2019 by Joshua Sewell
The essence of colour management is to ensure that the original target translates through a digital pathway so that the output images are exactly the same colour as the original.
When applied to medical imaging, and considering all the specific stains used in pathology, colour management becomes important. Particular coloured stains bind specific structures of cells in tissue to confer visualisation of diagnostic information. Without translating the colour through the digital pathway correctly, you lose the aspect of diagnostic information, which comes from specific colours.
Posted 1st November 2019 by Joshua Sewell
“A medical image alone doesn’t add value unless it is tied to a clinical decision-making process” – Jochen Lennerz
The Breast Cancer Scanning Initiative (BCSI) scans histological slides of patients with high-risk breast lesions to generate annotated images. We then apply a Machine Learning algorithm to the slides to determine whether surgery is necessary.
Posted 28th October 2019 by Liv Sewell
Hepatocellular carcinoma (HCC) is the fifth most prevalent cancer and the second most common cause of cancer deaths worldwide. There is not currently a successful therapy to treat HCC in advanced stages. NASH is a primary risk factor for liver cancer.
Devanand Sarkar and his team have uncovered the molecular mechanisms leading to NASH and HCC, shedding light on the connections between obesity and cancer. He is leveraging this knowledge to develop targeted treatments for both NASH and advanced HCC. We asked him to give us a brief insight into his work ahead of his presentation at the 3rd Global NASH Congress, 2020.
Posted 23rd October 2019 by Joshua Sewell
Cyclica is a Toronto-based biotech that leverages artificial intelligence and computational biophysics to reshape the drug discovery process. We spoke to their Chief Scientific Officer Andreas Windemuth.
Posted 21st October 2019 by Liv Sewell
Ahead of the 6th Digital Pathology and AI Congress: Europe in December, we are revisiting Professor Inti Zlobec’s research, presented at last year’s Congress, which is opening a whole field of digital pathology research. Zlobec’s research applies the latest digital pathology technology to produce high-quality tissue microarrays for biomarker analysis.