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Published on July 25, 2024
Microsoft and Paige have revealed the fruits of their collaborative labor in creating the most advanced AI-powered cancer pathology tool. A research article published in Nature Medicine demonstrates how their “foundational model” for computational biology, Virchow, has the unprecedented ability to model diverse patterns observed in pathology images due to…
Published on February 27, 2023
Genomics England and medical imaging company Sectra announced that they completed the deployment of Sectra enterprise imaging system to manage radiology and pathology imaging from a number of National Health Service (NHS) trusts. The system will now enable Genomics England to combine their whole-genome sequencing data with digital pathology and…
Published on October 11, 2022
Researchers in the Mahmood lab at Brigham and Women’s Hospital have developed a new deep learning algorithm that is capable of teaching itself to search large datasets of pathology images to identify similar cancer cases. The tool, called SISH for “Self-Supervised Image Search for Histology,” has the ability to identify…
Published on June 15, 2022
Today the field of digital pathology can trace its roots to the end of the last century with the development of the “virtual microscope” by a combined team of researchers at the University of Maryland’s department of computer science and researchers in the department of pathology at Johns Hopkins University…
Published on June 15, 2022
For over 100 years pathologists have been using microscopes to study disease at a cellular level and despite improvements in the objective lens and light sources, there have been few changes to the techniques during this time. In the 1990’s, laboratories began attaching cameras to microscopes and taking still images…
Published on June 15, 2022
By Monique Brouillette Last year, scientists published a study that analyzed century old viruses preserved in lung samples of patients that died during the Spanish flu. The study showed the first ever genetic evidence that the flu virus evolved to become more deadly during the second wave of the pandemic.…
Published on May 10, 2022
A computational model that predicts brain age using a large collection of FDG-PET (fluorodeoxyglucose positron emission tomography) and structural MRI (magnetic resonance imaging) imaging data has been developed by Mayo Clinic scientists. The deep learning-based model tests the relationship between brain age gaps in various forms of dementia, including mild…
Published on March 25, 2022
Roche and Bristol Myers Squibb (BMS) announced today a collaboration that seeks to aid the development of two clinical trial assays via the development and deployment of digital pathology algorithms. The data from both projects will be used to improve cancer diagnostics to pinpoint personalized treatments for cancer patients, the…
Published on February 14, 2022
The field of Epigenetics is gathering momentum and correlating epigenetic changes with clinical parameters is well characterized given the abundance of scientific literature published to date. There is however, a distinct paucity of markers that have been translated into clinical practice. Dr Snuderl discusses some of the technologies…
Published on September 22, 2021
The US FDA has granted Paige Prostate de novo marketing authorization, making it the first artificial intelligence (AI)-based pathology product to be approved. Paige Prostate is used with the company’s FullFocus digital pathology viewer, approved earlier, to detect prostate cancer. “The approval is a landmark achievement in the field of…
Published on June 30, 2021
The loss of function of the C9orf72 gene may affect communication between motor neurons and muscles in people with ALS. These findings were published by Kessen Patten’s team of the Institute National de la Recherche Scientifique (INRS) in Communications Biology. The average incidence rate of ALS worldwide is about one in 50,000 people…
Published on May 26, 2021
U.S. lab testing giant Quest Diagnostics will partner with digital pathology pioneer Paige to develop AI focused cancer diagnostics using pathology images. Paige’s technology uses machine learning and deep learning algorithms to extract useful diagnostic information from pathology slides and images. For example, by picking up tissue patterns and markers…
Published on March 17, 2021
Computer-aided cancer diagnostics company 4D Path, announced it is expanding its existing three-year partnership with the University of Leeds after positive results from three breast cancer clinical studies using the 4D Q-plasia OncoReader Breast diagnostic platform. The new deal runs through 2027. “One in eight women will be affected by…
Published on May 21, 2020
Computation pathology software provider Indica Labs and Octo, an information technology systems provider to the U.S. Federal Government, announced the launch of the online COVID Digital Pathology Repository (COVID-DPR), a virtual collection of high resolution microscopic COVID-related human tissue images hosted at the National Institutes of Health. The creation of…
Published on April 20, 2020
Emotional, social, and psychiatric problems in children and adolescents have been linked to higher levels of genetic vulnerability for adult depression, according to University of Queensland scientists. They made the finding “Genetic Associations Between Childhood Psychopathology and Adult Depression and Associated Traits in 42 998 Individuals: A Meta-Analysis”, which appears in JAMA…