A self-taught artificial intelligence system can identify a common form of lung cancer from microscopy images and determine the likelihood that it will return after treatment as well as overall patient survival. The system has potential to one day relieve pathologists from the time-consuming manual interpretation of stained tissue sections.…

A deep learning system can markedly improve the detection of early-stage esophageal cancers during routine endoscopy, according to a randomized, controlled trial (RCT). The artificial intelligence system nearly doubled the ability of clinicians to identify high-risk esophageal lesions (HrELs)—consisting of esophageal cancer or precancerous lesions— compared with unassisted endoscopy. This…

Developing individually-tailored immunotherapies is one of the highest aspirations of cancer researchers. Now, new work suggests deep-learning technology can accurately predict which cancer-related protein fragments—neoepitopes—are most likely to trigger an immune system response to a specific tumor. This tool could help in development of personalized immunotherapies and vaccines, according to…

Cancers are classified in two ways: by the type of tissue in which the cancer originates (histological type) and by primary site, or the location in the body where the cancer first developed. Now, researchers from Texas Tech University developed a deep learning model to classify cancer cells by type.…

Research led by Tsinghua University, Beijing, has developed a deep learning (DL) program that can improve prognostic biomarker discovery to help patients with liver cancer. The researchers used the tool, known as PathFinder, to show the value of a biomarker that plays a key role in liver cancer outcomes. They…

Researchers at the University of California San Diego (UCSD) School of Medicine and Rady Children’s Institute for Genomic Medicine have created a deep learning tool that uncovers disease-causing mosaic mutations, a first step they say to find ways to develop treatments for many diseases. Mosaic mutations are only present in…

Immunotherapy activates the body’s immune system to fight against cancer cells without using chemotherapy or radiotherapy. In addition, it uses the adaptability of the immune system which may help patients benefit from its therapeutic effects experience sustained anti-cancer effects. However, the current diagnostic techniques do not accurately predict the patient’s…

Researchers in the Mahmood lab at Brigham and Women’s Hospital have developed a new deep learning algorithm that is capable of teaching itself to search large datasets of pathology images to identify similar cancer cases. The tool, called SISH for “Self-Supervised Image Search for Histology,” has the ability to identify…

Using a deep learning tool can help improve accuracy and reduce false positives during magnetic resonance imaging (MRI) scans to check for breast cancer, shows research led by New York University. The deep learning algorithm was able to match the performance of a panel of radiologists with experience of diagnosing…

Researchers have found that an artificial intelligence system is at least as good as human radiologists at identifying tuberculosis from chest X-rays, opening up its use for low-resource countries. Indeed, the deep learning program was superior in sensitivity and noninferior in specificity in identifying active pulmonary TB in frontal chest…

Researchers based at the Gwangju Institute of Science and Technology in the Republic of Korea have developed a deep learning artificial intelligence model to predict how likely drugs are to interact with other drugs and produce adverse side effects. In current medicine it is very common for patients, particularly older…

A research team led by Hongzhe Sun from the Department of Chemistry at the University of Hong Kong (HKU), in collaboration with researchers including Junwen Wang from Mayo Clinic, Arizona, have used a deep learning approach to predict disease-associated mutations of the metal-binding sites in a protein. Understanding such mutations could…

A computer system developed by Deep Genomics can mimic how cells read DNA to sustain life. It can also show what happens within cells when DNA is altered. These capabilities, extended and enhanced by means of machine learning, allow the system to do more than suggest correlations between genetic variations…

Researchers from the Technical University of Munich in Germany have developed and validated a deep-learning algorithm that accurately differentiates colon cancer from acute diverticulitis on computed tomography (CT) images. They write in JAMA Network Open that the deep-learning model “may improve the care of patients with large-bowel wall thickening” when…

The new AlphaFold 3 AI system for protein structure prediction has been released by Google DeepMind and its spinout Isomorphic, which is built around the system. According to the companies, the breakthrough system now shows at least a 50 percent improvement compared with existing prediction methods, and for some important…