A software tool uses artificial intelligence to recognize cancer cells from digital pathology images — giving clinicians a powerful way of predicting patient outcomes.
An AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
Radiologists assisted by deep learning based software were better able to detect malignant lung cancers on chest X-rays.
Researchers show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia.
Using machine learning, researchers have built a tool that detects genetic mutations that trigger the immune system, helping identify which cancer patients are likely to benefit from immunotherapy.
Researchers from Thomas Jefferson University use machine learning on ultrasound images of thyroid nodules to predict risk of malignancy.
An AI tool identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.
Researchers used artificial intelligence to develop a new classification method which identifies the primary origins of cancerous tissue based on chemical DNA changes.
Collaborators are developing an endoscopic robotic system with two-handed dexterity at a much smaller scale than existing options.
Carbon dioxide-based cancer tissue-freezing approach may help more breast cancer patients in lower income countries, animal studies show.
Scientists have developed a robot that looks and moves like a jellyfish; the aim is for Jellyfishbot to be applied in the treatment of cancer.
Researchers have built a set of magnetic ‘tweezers’ that can position a nano-scale bead inside a human cell in three dimensions with unprecedented precision.
Researchers have utilized machine learning capabilities to assist with the challenging task of grading tumor patterns and subtypes of lung adenocarcinoma.
Thanks to developments in 3D bioprinting, the UT researchers could create a miniature brain model representing the delicate tissue around the tumor, including the macrophages.
Doctors could get a head start treating cancer thanks to new AI developed at the University of Surrey that is able to predict symptoms and their severity throughout the course of a patient’s treatment.
UT Southwestern has become the first medical center in Texas to use a robotic tool that allows surgeons to perform complicated operations using just a single incision.