Computational Pathology News and Research

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AI model predicts cancer subtype, genetic mutations, and survival outcomes across 32 solid tumors

Researchers have developed a novel AI model that can analyze a routine whole histopathology image and simultaneously predict cancer subtype, specific genetic mutations, and survival outcomes across 32 different solid cancers rather than focusing on a single cancer type.

13 Aug 2026

Leica Biosystems to acquire StatLab

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17 Jul 2026

New diagnostic platform enables automated HER2 scoring of breast cancer tissue samples

Researchers at the University of California, Los Angeles have developed a compact, cost-effective diagnostic platform combining lensfree holography and deep learning for automated HER2 scoring of breast cancer tissue samples.

25 Jun 2026

Leica Biosystems launches AI-powered digital pathology solution in Europe, Middle East and Africa

With the Aperio GT Elite, Leica Biosystems advances digital pathology in EMEA, combining high-throughput scanning with innovative AI quality control features.

From Leica Biosystems 16 Jun 2026

Multimodal AI improves prediction of PIK3CA mutations in breast cancer

Breast cancer is one of the most common malignancies worldwide, and mutations in the PI3K/AKT/mTOR (PAM) signaling pathway are prevalent in its development.

21 Apr 2026

Leadership in digital pathology with launch of next-generation Aperio GT Elite scanner and Aperio iQC software

Leica Biosystems' Aperio GT Elite scanner and iQC software streamline digital pathology workflows, ensuring high-quality results and operational efficiency.

From Leica Biosystems 24 Mar 2026

EAGLE model predicts key lung cancer mutations from routine biopsy

With EAGLE, lung cancer biopsy analysis is expedited, accurately predicting EGFR mutations and streamlining the diagnostic process for better patient outcomes.

14 Jul 2025

New review discusses the expanding horizons of AI in medical sciences

In recent years, artificial intelligence (AI) has grown remarkably, fueled by innovative foundation models (FMs) such as GPT-n series by OpenAI, and derived large language models (LLMs) like Chat generative pre-trained transformer, popularly known as ChatGPT.

20 Dec 2024

International team releases recommendations for AI use in neuro-oncology

An international, multidisciplinary team of leading neuro-oncology researchers and clinicians has released new recommendations for good clinical practice - a set of guidelines that helps ensure clinical trial results are reliable, and patients are protected - regarding the use of artificial intelligence methods to more accurately diagnose, monitor and treat brain cancer patients.

15 Nov 2024

AI-powered MRI predicts outcomes in prostate cancer

Researchers determine whether artificial intelligence-based MRI data could predict prostate cancer patient outcomes.

6 Nov 2024

AI model Virchow outperforms clinical methods in cancer detection

In a recent study published in Nature Medicine, researchers demonstrated the use of the foundational model Virchow for computational analysis of pathological reports, prediction of biomarkers, and identification of cells across multiple cancer types. Virchow's pan-cancer model showed impressive accuracy, often outperforming clinical-grade models.

23 Jul 2024

New AI model sets benchmark in digital pathology with superior cancer diagnostics

Researchers developed Prov-GigaPath, a whole-slide pathology foundation model using a novel vision transformer architecture. The model demonstrates superior performance in mutation prediction, cancer subtyping, and vision-language tasks. It leverages large-scale real-world data from over 30,000 patients to enhance clinical diagnostics.

23 May 2024

Cancer researchers urged to embrace AI for groundbreaking insights and efficiency

A review in Nature Reviews Cancer emphasizes the necessity for cancer researchers to understand AI's potentials and limitations, detailing its applications and challenges in cancer research to aid non-computational biologists.

20 May 2024

Deep learning models for predicting prostate cancer recurrence risk from 3D pathology datasets

Human tissue is intricate, complex and, of course, three dimensional. But the thin slices of tissue that pathologists most often use to diagnose disease are two dimensional, offering only a limited glimpse at the tissue's true complexity.

9 May 2024

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