AI

  • AI and erectile dysfunction—revolutionising men’s health?

    New research highlights how artificial intelligence is being used to help manage and find new treatments for erectile dysfunction. In a review published in the journal of UroPrecision, researchers from the University of Texas McGovern Medical School reveal how artificial intelligence (AI) is setting a new course in men's sexual health, specifically in the diagnosis and treatment of [...]

  • New collaboration to enhance research and development using AI

    InvoX Pharma and Insilico Medicine have entered a new strategic collaboration to combine Insilico’s AI and computational services with invoX’s drug discovery and data science capabilities. The aim of the collaboration is to enhance research and development activities for invoX by identifying potential novel indications for pipeline assets in oncology. The collaboration will utilise Insilico’s [...]

  • AI tool can help predict responses to cancer therapy – study

    A new study showcases the power of machine learning to predict therapy outcomes among cancer patients using information from tumour cells. With more than 200 types of cancer and every cancer individually unique, ongoing efforts to develop precision oncology treatments remain daunting. Most of the focus has been on developing genetic sequencing assays or analyses [...]

  • New class of AI to improve cancer research and treatments

    A new class of artificial intelligence (AI) algorithms have been developed called 'hypothesis-driven AI' that are a significant departure from traditional AI models which learn solely from data. In a review published in Cancers, Mayo Clinic researchers note that this emerging class of AI offers an innovative way to use massive datasets to help discover [...]

  • Google and Bayer bring AI-powered healthcare to radiologists

    A new innovation platform aims to help organisations build AI-powered apps that assist radiologists, reducing burnout and supporting more efficient diagnoses. Bayer, a life-science company with over 100 years experience in radiology products, has now teamed up with Google to develop artificial intelligence (AI) solutions to support radiologists and better serve patients. As part of [...]

  • AI-based adaptive optics takes retinal imaging to ‘next level’, finds study

    Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is 100 times faster and improves image contrast 3.5-fold. The advance, they say, will provide researchers with a better tool to evaluate age-related macular degeneration (AMD) [...]

  • AI highlights links between environment and heart health

    A new study has leveraged Google Street View to assess links between an individual's environment and their cardiovascular outcomes. Is the view from your doorstep mostly trees and sky or buildings and grass? The answer could influence your cardiovascular health, according to a study due to be presented at the American College of Cardiology’s Annual [...]

  • Could ChatGPT help cancer patients get answers?

    A new Northwestern Medicine study tested a specially designed ChatGPT to see if it could successfully provide answers to patients’ common questions about radiation oncology. Those behind the research say that patients may be too overwhelmed to address all their concerns during a clinical visit or forget what the physician told them. The study showed [...]

  • Improving bone cancer detection with AI

    A team of researchers have developed a new machine-learning model that can precisely make prognosis predictions for patients with osteosarcoma, based on the density of viable tumour cells post-treatment. Researchers at Kyushu University have developed the model which accurately evaluates the density of surviving tumour cells after treatment in pathological images of osteosarcoma. It can [...]

  • New AI tool paves way for personalised cancer treatments

    A new AI-based learning tool has been developed by Arizona State University scientists which has uncovered new information about how an individual person’s immune system responds to foreign cells. The tool, called HLA Inception, can classify a specific group of proteins called Major Histocompatibility Complex-1(MHC-1), in seconds. These proteins are unique for each individual and [...]