• MILO Helping Artificial Intelligence Reach Its Diagnostic Potential

    Aug 20 | Diagnostics World | Efforts to couple patient-level data with machine learning (ML) are going to accelerate “100-plus-fold” over the next decade, dramatically improving evidence-based decision-making and demonstrably improving patient care. In the diagnostics field, supervised learning that leverages classification represents the bulk of this work currently and may even suggest the algorithms best suited to the task at hand. More

  • Ultima Genomics ppmSeq Stats Preprint

    Aug 19 | Diagnostics World | Ultima Genomics published updates on the single-nucleotide variant (SNV) detection capabilities of its ppmSeq technology and demonstrated ctDNA detection limits for ppmSeq, which extend beyond the limits of currently available minimal residual disease assays. More

  • More Personalized Medicine Possible Using Large Language Models

    Aug 14 | Diagnostics World | With the advent of large language models (LLMs), expert human abstractors are meeting their match when it comes to accurately identifying cancer progression events from electronic health records (EHRs). That’s one of the big surprises emerging from a study presented by Aaron Cohen, M.D., a practicing oncologist and head of oncology research at Flatiron Health, at a recent artificial intelligence and machine learning conference of the American Association for Cancer Research. More

  • Multi-Purpose Platform Looks to Speed Medical Devices to Market

    Aug 12 | Diagnostics World | Like a smartphone housing many software applications, a multi-purpose platform looks to be the launchpad for a potentially huge number of medical devices. The Openwater system, under development for nearly a decade, holds promise in noninvasively diagnosing and treating disease using infrared light and low-intensity focused ultrasound (LIFU). More

  • Johns Hopkins Develops Multimodal AI Model That Predicts Sudden Cardiac Arrest

    Aug 07 | Diagnostics World | Researchers at Johns Hopkins University have developed Multimodal Artificial intelligence for ventricular Arrhythmia Risk Stratification (MAARS), a deep learning approach to predict lethal arrhythmia in patients with HCM by analyzing multimodal medical data. More

  • Alzheimer’s Conference Highlights New Diagnostics, Treatments

    Aug 06 | Diagnostics World | The Alzheimer's Association International Conference was held last week in Toronto and researchers and companies gathered to present their progress in the fight to diagnose and treat Alzheimer’s disease. Among the timely new developments: new products from Quanterix; pre-clinical data from AltPep, OncoC4, and NKGen Biotech; pipeline updates from Eisai, Biogen, and Roche; and more. More

  • AI Algorithm Advances Cancer Diagnostics Through Rapid Cell Type Identification

    Aug 05 | Diagnostics World | Researchers at Virginia Commonwealth University have developed an artificial intelligence tool that could revolutionize cancer diagnostics by rapidly identifying distinct cell types in tissue biopsies, potentially transforming how clinicians make treatment decisions and predict patient responses to therapy. More

  • UK Biobank Whole Body Imaging Project, Longhorn Vaccines and Diagnostics, Promega Partner Up, More

    Jul 31 | Diagnostics World | UK Biobank completed the world’s largest whole body imaging project; Longhorn Vaccines and Diagnostics announced a strategic co-marketing agreement with Promega Corporation; and more. More

  • Follow the Money: Rheumatoid Arthritis Prediction Test, GAIA-based Alzheimer’s Therapeutics, More

    Jul 30 | Diagnostics World | Aqutal’s advance toward a therapy response prediction test in rheumatoid arthritis; Illimis Therapeutics plans to accelerate the development of GAIA-based Alzheimer's disease therapeutics and various immune disorders; and more. More

  • Glowing Molecule Helps Surgeons Quickly Visualize Tumor Margins

    Jul 24 | Diagnostics World | A surge in research and development around fluorophores, various types of glowing molecules used to enhance visualization during surgical procedures, is driving excitement about their potential to improve the performance of human surgeons and “pave the way” for even better autonomous robotic surgery. More
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