The Massachusetts Institute of Technology (MIT) has developed collagen mimetic peptides for PET imaging to detect idiopathic pulmonary fibrosis (IPF), with [68Ga]DOTA-CMP showing selective identification of fibrotic collagen in vivo.
International research project Multicentre Epilepsy Lesion Detection (MELD), led by University College London, has developed artificial intelligence software that can identify minute brain anomalies that lead to epilepsy seizures. These anomalies, known as focal cortical dysplasia, can often be treated with surgery but are difficult to visualize on an MRI.
Researchers from Baylor College of Medicine and Texas Children's Hospital detailed the discovery of CPK-03-37, a novel fluorescent organic molecule for tumor imaging.
Intravascular ultrasound (IVUS) is an established method for gaining an appreciation of the sources of closure of the coronary arteries, but its use in the peripheral vasculature is not quite as well established. Nonetheless a new paper makes the case that IVUS may be appropriate for widespread use in connection with diseases of the peripheral vasculature, a position that could lead to a considerable expansion of sales of IVUS systems.
Lung cancer claims more lives each year than any other cancer, making early and accurate diagnosis crucial to improving survival rates. To that end, the U.S. FDA has cleared the integration of Intuitive Surgical Inc.’s Ion endoluminal system and Siemens Healthineers AG’s Cios Spin mobile imaging cone-beam CT imaging technology to enhance robotic lung biopsies.
Investors are backing imaging diagnostics company Magnetic Insight Inc. with $17 million to develop its magnetic particle imaging (MPI) technology. The clinical imaging application consists of two core technologies: hardware and a tracer that, together, produce 3D images of how a patient’s body works. Venture firm Celesta Capital led the series B round with Alumni Ventures Group, Gaingels and existing investors 5AM Ventures and Sand Hill Angels participating.
Artificial intelligence (AI) and machine learning (ML) are all the rage in 2022 when it comes to medical radiology, but regulators across the globe are struggling to devise regulatory frameworks that ensure safety and efficacy without strangling innovation. There are a number of other stakeholders in this sphere of med tech, however, each with their own considerations. In this six-part series, BioWorld will examine these considerations in an effort to characterize the working environment for AI and ML as it exists now, and what that environment might look like in the years ahead.
Detecting the spread of cancer is a high priority for most health systems, but the U.K. National Health Service currently has a limited range of options when it comes to detecting breast metastases. That may change soon thanks to a review by the National Institute of Health and Care Excellence (NICE), which may endorse the use of the Sentimag system with Magtrace.
Beacon Biosignals Inc. has teamed up with Stratus Inc., a provider of electroencephalogram (EEG) services, to improve at-home brain monitoring and neurodiagnostics using Beacon’s machine learning-driven neuroanalytics platform. The collaboration will increase opportunities for home-based studies of Alzheimer’s and other neurological diseases.
Isono Health Inc. received FDA clearance for its Automated Three-dimensional Ultrasound with Artificial intelligence (ATUSA) system for breast imaging, a wearable, compact automated whole breast ultrasound system that can acquire high-quality images without requiring a skilled operator. The ultrasound scan takes two minutes to scan the entire breast volume and offers 3D visualization of the breast tissue.
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