LONDON – A U.K. national plan to upgrade population cancer screening will see greater adoption of genomics and biomarker-based testing, and the use of artificial intelligence to help interpret results. There will be moves to make it easier to pilot and adopt novel diagnostics and to do more targeted screening to identify and follow people who are shown to be at greater risk of developing specific types of cancer.
The U.S. FDA has given 510(k) clearance to the Advanced Intelligent Clear-IQ Engine (AiCE) for Canon Medical Systems USA Inc.'s Aquilion Precision CT scanner. The regulatory green light brings artificial intelligence (AI)-based image reconstruction capabilities to the world's first ultra-high resolution CT imaging system.
Researchers at the Abramson Cancer Center at the University of Pennsylvania have developed an algorithm to better personalize immunotherapy treatment. The algorithm works by examining neoantigen quality, not just their quantity. Neoantigens are proteins that are the result of genetic mutations in a tumor.
HONG KONG – Singapore's Tan Tock Seng Hospital and Lucence Diagnostics Pte. Ltd. have teamed up to develop a next-generation decision support tool for liver cancer patients. The visualization tool, known as Liver3D, was designed to reduce the risks associated with liver cancer surgery. It does so by developing machine learning models based on radiology images of liver cancer patients for clinical decision support.
Houston-based startup Braincheck Inc. scooped up $8 million in series A funding in a round led by S3 Ventures and Tensility Venture Partners, along with True Wealth Ventures and Nueterra Capital. Braincheck launched its digital cognitive assessment tool in 2015 and a cognitive care planning solution in 2018, and now the company is looking to broaden its footprint with physician practices, hospitals and health systems. Proceeds from the financing will help to build the company's sales and marketing and clinical development teams in Houston, as well as production development staff in Austin.
The field of artificial intelligence (AI) in medical practice is in its infancy, but a group of medical societies has published a paper that proposes the development of a code of ethics for artificial intelligence (AI) in radiology. The paper underscores a number of concerns, including that some developers fail to fully appreciate the potential consequences of seemingly innocent slip-ups in the development and validation of that algorithm.
In retrospect, it seems inevitable that an algorithm would be appointed to a board of directors. Hong Kong-based Deep Knowledge Ventures named Vital (an acronym for Validating Investment Tool for Advancing Life Sciences) to its board five years ago and credits it with making better decisions than its fellow members, humans all.