Digital pathology

Step aside, glass slides: Digital pathology opens up a whole new world of possibilities in diagnosis, prognosis, and prediction of diseases, which is only furthered by the use of AI and Machine Learning. In our information channel, we have assembled some of the most exciting applications for digital pathology.

News • Diagnostic technology

First European reference site for new digital pathology solutions

North Bristol NHS Trust and Fujifilm Healthcare Europe continue their long-standing relationship, with the establishment of a reference site agreement for the company's new pathology solution.

Article • Digital pathology discussion panel

The AI tools pathologists want and need

The evolving role of AI tools in digital pathology was explored at an open discussion during the annual Digital Pathology and AI Congress in London with a high-level panel of practitioners looking at…

Article • Point-of-care diagnostics

Improving women’s health in remote regions with digital pathology

Point-of-care diagnostics based on a combination of mobile-sized scanners and artificial intelligence (AI) are helping save the lives of women in low-resource settings. The AI technique is being…

News • Patient-derived samples

New ‘explant’ technique predicts breast cancer therapy response

A new study measured how well breast cancer patients’ tumour ‘explants’ respond to chemotherapy or HER2 antibody therapy in the laboratory. This could help improve clinical outcomes.

News • Automated tissue analysis

Digital pathology: AI platform to improve lung cancer diagnosis

Cologne researchers have developed an AI-based digital pathology platform to enable extremely fast and accurate fully automated analysis of tissue sections from lung cancer patients.

News • Tailored chatbot

Customized ChatGPT to advance digital pathology

New research shows that the AI large language model ChatGPT can be tailored to provide accurate responses to questions about digital pathology and compile detailed results.

Article • Pharmaceutical research

Boosting biomarker detection with digital pathology

Digital pathology can be used to great effect in pharmaceutical research: it can accelerate analyses, give deeper insights into cellular mechanisms, and enable better understanding of their role into clinical development. This potentially offers clearer predictions on how patients may respond to treatment and lead to personalized therapies.

News • Interpretable machine learning system

AI to detect colorectal cancer from pathology slides

Researchers work on the first prototype that applies AI to colorectal diagnosis. The prototype achieved a diagnostic acuity of 93.44% and a sensitivity of 99.7% in the detection of high-risk lesions.

News • Pan-cancer proteogenomics

Characterizing the immune landscape in cancer

Researchers have unveiled a detailed understanding of immune responses in cancer, potentially paving the way for the development of new therapeutic strategies, the team hopes.

News • Accelerated sample analysis

Digital pathology cleared for use in cancer screening programmes

Digital pathology brings benefits for sample management and optimisation, lets pathologists work on samples remotely: The UK Government has now approved the use of the technique for cancer samples.

News • Machine learning in sample analysis

Lab-trained pathology AI meets real world: ‘mistakes can happen’

AI models are highly capable in analysing tissue samples – as long as conditions are lab-perfect. Add a little contamination, however, and diagnostic accuracy goes out the window, a new study shows.

Article • Next-generation pathology

Multiplexed staining techniques in the fight against complex diseases

Bringing digital pathology together with novel multiplexed staining techniques may answer key questions about complex diseases. Pathologist Lukas Marcelis, MD, PhD, believes such combinations of technology will have benefits for clinicians and patients and can help unravel some of the mysteries surrounding a range of conditions.

Article • Digital pathology

Cutting the time to therapy for breast cancer patients

Centralized review of slides combined with telepathology has opened up the potential for a dramatic reduction in the waiting times for breast cancer patients to start their therapy. Jan Hudecek from the Netherlands Cancer Institute outlined his team’s framework for multi-centre clinical trials with centralized digital pathology review at the 9th Digital Pathology and Artificial Intelligence…

Article • Breast cancer diagnostics

Precision pathology: an AI-led alternative to molecular diagnostics

Experts have highlighted how precision pathology using Artificial Intelligence can provide an effective alternative to molecular diagnostics. This, say a team from the Karolinska Institutet (KI) in Stockholm, Sweden, can also offer multiple advantages within a clinical setting and support risk stratification.

News • Transforming medical diagnosis

Digital pathology: set to be a game changer in the medical industry

With the introduction of digital pathology, the University of Queensland and Sullivan Nicolaides Pathology aim to provide significantly improved tests in terms of cost, quality and speed.

Advanced tissue staining meets standardisation

It is crucial that labs can rely on their slides for a seamless – and accurate – diagnosis. With many more commercial instruments focusing on flexibility and choice, these qualities are difficult to separate from subjectivity and complexity.

News • Technology transition

Netherlands Cancer Institute switches to new digital pathology platform

The Netherlands Cancer Institute (NKI) will deploy a diagnostic platform from digital and computational pathology solutions provider Proscia, the company announced.

Article • Centralised image library and archive

From regional to national: digital pathology network transformation

Transforming a regional digital pathology network into a national programme across the UK has the potential to save the NHS around £100m a year. Such a network – one that sees a centralised digital pathology image library and archive, as opposed to individual hospitals having their own infrastructure and teams to manage it – can also offer a range of other benefits alongside significant cost…

Article • Interpreter of maladies

Will AI help realize the promise of precision medicine?

Machine learning and artificial intelligence (AI) have the potential to transform cancer treatment management worldwide. Their ability to rapidly analyse and integrate routinely acquired diverse data will improve the accuracy and effectiveness of precision medical treatments.

News • Lung cancer

A novel AI for digital pathology analysis

Researchers from Boston University School of Medicine have developed a novel artificial intelligence algorithm to assess digital pathology data.

Article • Detection and diagnosis of cancer

The ‘smart’ future of cytology

A combination of digital pathology and quantitative biomarker analysis in the emerging concept of ‘smart’ cytology has a potential role in the detection and diagnosis of cancer.

Article • NPIC network

Pathology in North England goes digital

Reaching out across 15 hospitals and a population of six million people, a network established by the National Pathology Imaging Co-operative (NPIC) is an ambitious move to advance digital pathology in the North of England.

Fujifilm “One-Stop” solution partner for the Healthcare systems

Fujifilm aims to become an entity that can contribute to the advancement of human health by supporting the ongoing transformation in the healthcare industry – as a “One-Stop” solution partner.

Article • Experience report

Switch to digital pathology bears fruit

Fully digitising pathology operations has led to greater efficiency, cost savings, and quicker diagnosis for the Laboratory of Pathology East Netherlands (LabPON).

Article • AI introduction into clinical workflows

The rocky (but worthwhile) road to digital pathology

Close liaison between pathologists and data scientists is pivotal in the successful introduction of digital pathology and artificial intelligence (AI) into clinical workflows, according to one of France’s leading pioneers in the field.

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