pathology

AI finds patterns of mutations in tumour images

Researchers have developed an AI algorithm that uses computer vision to analyze tissue samples from cancer patients.

Lung cancer: AI could predict risk of recurrence

Computer scientists working with pathologists have trained an AI tool to determine which patients with lung cancer have a higher risk of their disease coming back after treatment.

Deep learning accurately stains digital biopsy slides

Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.

AI model accurately classifies colorectal polyps

An AI model for automated classification of colorectal polyps could benefit cancer screening programs by improving efficiency, reproducibility, and accuracy.

AI taps human wisdom for better cancer diagnosis

A new system combining artificial intelligence with human knowledge promises faster and more accurate cancer diagnosis.

A 'multitasking' AI tool quickly extracts cancer data

To better leverage cancer data for research, scientists are developing an artificial intelligence-based natural language processing tool to improve information extraction from textual pathology reports.

Hybrid microscope could bring digital biopsy to the clinic

By adding infrared capability to the ubiquitous, standard optical microscope, researchers hope to bring cancer diagnosis into the digital era.

Using AI to detect and grade prostate cancer

Researchers have developed a method based on artificial intelligence for histopathological diagnosis and grading of prostate cancer.

AI and laser-based imaging system identify brain tumors

A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors.

AI identifies features associated with cancer recurrence

An AI has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors.

Machine learning improves diagnostics of head and neck cancers

Researchers used artificial intelligence to develop a new classification method which identifies the primary origins of cancerous tissue based on chemical DNA changes.

Holographic microscope to study cell populations

With the new unveiled 3D microscope, researchers can observe the details of how cells operate – all the way down to their organelles.

AI classifies lung cancer slides at pathologist level

Researchers have utilized machine learning capabilities to assist with the challenging task of grading tumor patterns and subtypes of lung adenocarcinoma.

Lab-on-a-chip detects cancer less invasively

A new ultrasensitive diagnostic device could allow doctors to detect cancer quickly from a droplet of blood or plasma, leading to timelier interventions and better outcomes for patients.

AI-driven platform “HRMAn” never sleeps

Researchers have developed a new AI-driven platform that can analyse how pathogens infect our cells with the precision of a trained biologist.

Digital attack on cancer

Several research groups at the Berlin Institute of Health (BIH) are working on digitally combating cancer, comparing experiences with different diagnostic and treatment methods.