• AI Interprets 3D Eye Scans to Improve Diagnoses, Speed up Trials

    Jul 08 | Diagnostics World | Thanks to several key advances in deep learning architecture, optical coherence tomography (OCT)—one of the most obtained medical images in the world—can now be used to predict disease one patient at a time. The people who stand to benefit are not only those suffering from common retinal diseases, but also conditions such as heart attack, stroke, and kidney failure simply by analyzing microscopic features in the eye. More

  • Digital Brain Twin Tailor-Made for Autism Spectrum Disorder

    Jul 07 | Diagnostics World | A new type of digital twin model of the brain, designed specifically for children with autism spectrum disorder, has been developed by researchers in Italy in hopes of enabling targeted treatment with transcranial magnetic stimulation at the exact location in the brain where neural circuits are misfiring. More

  • Follow the Money: Early Cancer Detection, Slowed Aging Medications, Expanding Life Science Labs

    Jul 01 | Diagnostics World | Spot Biosystems emerged from stealth and published a study on Duchenne muscular dystrophy; NewLimit aims to accelerate liver recovery from injury and improve tolerance of dietary and alcohol-related stress in preclinical models; and more. More

  • Sanofi, Pangaea Data Partnership, 10x Genomics Collaborates with Cleveland Clinic, Rapid Test for Acute Ischemic Stroke

    Jun 30 | Diagnostics World | Labcorp announced the nationwide availability of ColoSense; Hartwig Medical Foundation and Ultima Genomics announce an expansion of their strategic collaboration; the University of Texas MD Anderson Cancer Center join a global consortium dedicated to eliminating cervical cancer worldwide; and more. More

  • Cancer Patient’s Genetic Ancestry Helps Predict Survival

    Jun 25 | Diagnostics World | Research presented at the annual conference of the European Society of Human Genetics shows that a cancer patient’s genetic ancestry can have a significant effect both on how their disease progresses and their survival. In the largest study of its kind, researchers examined nearly 1,900 specific genetic changes in tumors in order to measure whether certain mutations were more common in patients with different historic geographic origins. More

  • Comparing Women’s Risk Scores Longitudinally Could Significantly Change Breast Cancer Screening

    Jun 24 | Diagnostics World | Researchers from Japan have developed a machine learning framework called DiSPAH (Disease-progression Speed and Pathway Analysis based on a Hidden Markov model) to estimate both the pathway and speed of disease progression in individual patients. More

  • INTACT: Detecting Gene Transcription in Living Animals

    Jun 23 | Diagnostics World | In a first, researchers at Rice University have established a method for measuring the levels of specific mRNA transcripts in the brain of a live animal. Being able to keep the animal alive is a critical detail, because current methods for analyzing transcript levels are generally only useful post-mortem. More

  • Algorithm Predicts ALS Progression Pathway, Speed

    Jun 18 | Diagnostics World | Researchers from Japan have developed a machine learning framework called DiSPAH (Disease-progression Speed and Pathway Analysis based on a Hidden Markov model) to estimate both the pathway and speed of disease progression in individual patients. More

  • Biological Age Blood Test Predicts Diseases Before Onset

    Jun 16 | Diagnostics World | Researchers at Stanford University have developed a blood test that reveals the functional age of your organs, predicting the odds of specific organ diseases within ten years, and opening new diagnostic avenues. In a study published in Nature Medicine, researchers showed that not only our organs, but individual cell types within those organs, can be classified by biological rather than chronological age, revealing even more precise data enabling potentially superior diagnostic approaches. More

  • At Any Age, the Business of Assessing Cancer Risk is Complicated

    Jun 11 | Diagnostics World | A single laboratory-developed blood test, years in the making at The University of Texas MD Anderson Cancer Center, could soon be a clinical reality for determining the risk of nine different cancers. In collaboration with UT MD Anderson, Quest Diagnostics is developing and validating the test based on a handful of circulating protein biomarkers associated with high risk for one or more of the cancers, including colorectal, lung, breast, pancreatic, ovarian, liver, prostate, esophageal, and stomach. More
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