Computational Pathology News and Research

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Advancing computational pathology with UNI and CONCH foundation models

Foundation models, advanced artificial intelligence systems trained on large-scale datasets, hold the potential to provide unprecedented advancements for the medical field.

19 Mar 2024

Revolutionizing prostate cancer diagnostics with 3D pathology and deep learning

Prostate cancer stands as a prevalent threat to men's health, ranking second in cancer-related deaths in the United States.

11 Mar 2024

Innovative approach for detecting pre-cancerous lesions using large, high-res images

A new study presents an innovative approach to the crucial detection of pre-cancerous lesions using large, high-res images.

1 Jun 2023

AI method can make time-sensitive, critical diagnosis easier and more accessible to pathologists

When a patient undergoes a surgical operation to remove a tumor or treat a disease, the course of surgery is often not predetermined.

23 Dec 2022

EVIDENT and Ultivue collaborate to advance multiplex slide imaging and spatial analysis in translational research

Evident Corporation, a premier manufacturer of life science imaging systems, and Ultivue, Inc., an industry leader in multiplexing tools and novel image analysis solutions for tissue biomarker studies, announced a collaborative agreement to promote whole slide imaging using multiplexed immunofluorescence (mIF) assays to advance translational research in the Americas.

From Evident Corporation - Life Sciences 10 Nov 2022

Proof-of-concept model uses AI to combine multiple types of data to predict cancer outcomes

While it's long been understood that predicting outcomes in patients with cancer requires considering many factors, such as patient history, genes and disease pathology, clinicians struggle with integrating this information to make decisions about patient care.

8 Aug 2022

New software package employs deep-learning algorithms to analyze T-cell receptor sequencing data

Researchers at the Bloomberg~Kimmel Institute for Cancer Immunotherapy at the Johns Hopkins Kimmel Cancer Center have developed DeepTCR, a software package that employs deep-learning algorithms to analyze T-cell receptor (TCR) sequencing data. T-cell receptors are found on the surface of immune T cells.

5 Apr 2021

New AI tool could predict risk of lung cancer recurrence

Computer scientists working with pathologists have trained an artificial intelligence tool to determine which patients with lung cancer have a higher risk of their disease coming back after treatment, as part of Cancer Research UK’s landmark TRACERx study.

26 May 2020

Indica Labs and Octo announce launch of online COVID Digital Pathology Repository

Indica Labs, a leading provider of computational pathology software, and Octo, a premiere information technology systems provider to the U.S. Federal Government, are pleased to announce the online COVID Digital Pathology Repository, a virtual collection of high resolution microscopic COVID-related human tissue images hosted at the National Institutes of Health.

22 May 2020

Bacteriophage can have a profound impact on the dynamics of gut microbiome, study finds

The gut microbiome is a complex, interconnected ecosystem of species. And, like any ecosystem, some organisms are predators and some are prey.

7 Jun 2019

Philips launches proof-of-concept pilot for digital pathology services at ehi Live 2017

Royal Philips, a leader in health technology, today announced the launch of a proof-of-concept pilot for digital pathology services at a large, multi-region, scale. Announced at ehi Live, the pilot will last up to 12 months and is designed to establish ease-of-adoption for a fully integrated and digitised national pathology service, across Scottish NHS providers.

From Philips Healthcare 2 Nov 2017

Proscia’s new product optimized for digital clinical workflows in anatomic pathology labs

Proscia announced today the launch of a new product optimized for digital clinical workflows in anatomic pathology labs. This new platform is set to transform the clinical use of digital pathology in commercial and hospital labs

30 Sep 2017

Immune ‘hotspots’ could help predict the risk of breast cancer relapse in patients, study finds

Scientists from The Institute of Cancer Research, London has developed a new test through which women at a greater risk of relapsing from breast cancer within 10 years of diagnosis can be identified.

4 Aug 2017

Philips introduces new web-based informatics platform to hasten drug research and biomarker discovery

Royal Philips, a global leader in health technology, today announced the launch of its Xplore web-based informatics platform for drug research and biomarker discovery.

From Philips Healthcare 20 Jun 2017

AI key to driving precision medicine in cancer?

It is worth noting that in the U.S. and in many countries, digital pathology is still at a very early stage, compared to many other fields that were digitized 15 or 20 years ago such as radiology. There have been some barriers to the adoption of digital pathology such as regulatory challenges that are only just now being overcome. Recently, the FDA approved the use of whole slide imaging software for primary diagnostics.

27 Apr 2017

Pathology database to be made for development of deep learning tissue image analysis

Royal Philips and LabPON, the first clinical laboratory to transition to 100 percent histopathology digital diagnosis, today announced its plans to create a digital database of massive aggregated sets of annotated pathology images and big data utilizing Philips IntelliSite Pathology Solution.

From Philips Healthcare 6 Mar 2017

Novel suite of computer algorithms can accurately predict behavior of gut microbiome

A team of investigators from Brigham and Women's Hospital and the University of Massachusetts have developed a suite of computer algorithms that can accurately predict the behavior of the microbiome - the vast collection of microbes living on and inside the human body.

28 Jun 2016

New test can predict survival chances of women with breast cancer

Scientists have developed a new test which can predict the survival chances of women with breast cancer by analysing images of 'hotspots' where there has been a fierce immune reaction to a tumour.

27 Feb 2015