Digital Pathology in Drug Development: Opportunities and Challenges
Posted 20th April 2020 by Liv Sewell
We recently caught up with Dr Olulanu Aina, Scientific Director and Veterinary and Toxicological Pathologist at Janssen, about digital pathology applications in drug discovery...
Digital Pathology, Computational Biology, Organ Transplants, & the Future of Medicine
Posted 23rd March 2020 by Liv Sewell
Both transplant outcomes and lab methods have stagnated over the last 40 years. Ishita Moghe and Professor Kim Solez comment upon the rapidly changing landscape of medical research and the potential of digital pathology for transforming patient outcomes.
Developing computationally derived imaging biomarkers for maximum clinical impact
Posted 16th March 2020 by Liv Sewell
Professor Anant Madabhushi is a world-recognised, award-winning leader in computerized imaging research and translational applications, with over 160 peer-reviewed journal publications and close to 100 patents issued or pending. He is a keynote speaker at the 6th Digital Pathology & AI Congress: USA. He explains here why having patents is not enough…
Developing Deep Learning Models for Pathology Analysis
Posted 9th March 2020 by Liv Sewell
Ahead of the 6th Digital Pathology & AI Congress: USA, Dr Saeed Hassanpour introduces us to the subject of his presentation: the opportunities and challenges in developing deep learning based tools for histology.
Inspirata and Cirdan Announce New Technical Partnership at the Digital Pathology & AI Congress
Posted 18th December 2019 by Joshua Sewell
At the 6th Digital Pathology & AI Congress, Inspirata and Cirdan announced their new technical partnership designed to empower NHS clinical laboratories to accelerate their use of digital pathology.
3 Ways Single-Cell Sequencing and AI are Transforming Kidney Transplantation
Posted 27th November 2019 by Liv Sewell
Transplantation is now a successful therapy for end-stage renal disease (ESRD). The first successful kidney transplantation happened in Boston in 1954 and the procedure is now routine clinical practice in more than 80 countries worldwide.
Ishita Moghe and Kim Solez outline some of the major strides taken in kidney pathology and transplantation through the use of scRNA-seq and Artificial Intelligence (AI).
Digital Pathology Solutions for low-budget and low-tech regions of the world
Posted 18th November 2019 by Liv Sewell
Digital pathology is transforming possibilities for patient care and the nature of pathologists’ work. But it is clear that in low-income countries, access to pathology and laboratory medicine (PALM) services is very restricted and under-developed. Low-income countries bear a disproportionate share of the global disease burden, yet they are so under-resourced in the pathology and laboratory services that are vital for the accurate diagnosis and treatment of disease. This presents a huge issue for global health.
Given this global context, Rebecca Calder, Daniel Stevens and Zev Leifer’s poster, presented at the 5th Digital Pathology and AI Congress, is of notable significance.
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.