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.
By adding infrared capability to the ubiquitous, standard optical microscope, researchers hope to bring cancer diagnosis into the digital era.
Researchers have developed a method based on artificial intelligence for histopathological diagnosis and grading of prostate cancer.
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors.
An AI has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors.
Researchers used artificial intelligence to develop a new classification method which identifies the primary origins of cancerous tissue based on chemical DNA changes.
With the new unveiled 3D microscope, researchers can observe the details of how cells operate – all the way down to their organelles.
Researchers have utilized machine learning capabilities to assist with the challenging task of grading tumor patterns and subtypes of lung adenocarcinoma.
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.
Researchers have developed a new AI-driven platform that can analyse how pathogens infect our cells with the precision of a trained biologist.
Several research groups at the Berlin Institute of Health (BIH) are working on digitally combating cancer, comparing experiences with different diagnostic and treatment methods.
