Medtronic wins CE mark for next-gen GI Genius module, ColonPRO software
February 23, 2026
Medtronic (NYSE: MDT)+ announced today that it received CE mark for its ColonPRO fourth-generation software for AI-assisted colonoscopy.
Medtronic (NYSE: MDT)+ announced today that it received CE mark for its ColonPRO fourth-generation software for AI-assisted colonoscopy.
Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness has these tools poised to set the stage for efficient, AI-guided research and potentially lifesaving discoveries—if scientists can work out the kinks. The findings are published in the journal npj Artificial Intelligence.
Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the journal Proceedings of the National Academy of Sciences, the study establishes that the protein MYCN drives liver tumorigenesis, specifically of the type of tumors found in the deadliest subtype of liver cancer.
St. Jude Children’s Research Hospital scientists, in collaboration with scientists at the Hopp Children’s Cancer Center Heidelberg (KiTZ), German Cancer Research Center (DKFZ) and other international centers, created Methylation-based Predictive Algorithm for CNS Tumors (M-PACT). M-PACT uses AI to sift through ctDNA in cerebrospinal fluid and molecularly classify tumors based on their DNA methylation pattern.
For the first time, researchers, including those from the University of Tokyo, applied a machine learning-based prediction model of insulin resistance to half a million participants from the UK Biobank and demonstrated that insulin resistance is a risk factor for 12 types of cancer.
A new AI tool that accurately predicts the need for a feeding tube could transform patient care and improve quality of life for people living with Motor Neuron Disease (MND).
Researchers led by Min Zhang and Dabao Zhang of the University of California, Irvine’s Joe C. Wen School of Population & Public Health have created the most detailed maps to date showing how genes causally regulate one another across different types of brain cells affected by Alzheimer’s disease.
Driven by overuse and misuse of antibiotics, drug-resistant infections are on the rise, while development of new antibacterial tools has slowed.
Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries using optical coherence tomography (OCT) images.
Opening a new window on the brainstem, a new tool reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease.