Proof of Concept Study Demonstrates Machine Learning and AI Can Identify Cancer Cells Based on pH Levels; May Have Applications in Surgical Pathology

The new method employs a pH sensitive dye and AI algorithms to ‘distinguish between cells originating from normal and cancerous tissue, as well as among different types of cancer’ the researchers said Might a pH-sensitive dye in tandem with an image analysis solution soon be used to identify cancerous cells within blood samples as well within tissue? Recent research indicates that could be a possibility. If further studies and clinical trials confirm this capability, then anatomic pathologists...

Cancer Researchers Use Astronomy Analysis Algorithms to Develop Platform for Locating and Examining Predictive Biomarkers in Tumors

Yet another example that technologies from non-medical fields continue to find their way into anatomic pathology and clinical laboratory medicine Anatomic pathologists and medical laboratory scientists may soon have new tools in the fight against cancer, thanks to researchers at the Mark Foundation Center for Advanced Genomics and Imaging at Johns Hopkins University and Bloomberg-Kimmel Institute for Cancer Immunotherapy. Using algorithmic technology designed for mapping the stars, the...

American Robotics Gets FAA Approval to Operate First Fully Automated Drone for Commercial Use ‘Beyond Visual Line of Sight’ Bringing Unmanned Delivery of Medical Supplies and Clinical Laboratory Specimens a Step Closer to Reality

Boston-based American Robotics is approved to operate its Scout unmanned aircraft in rural areas and below a certain altitude, achieving a milestone that may allow the industry to ‘truly take off’ Routine drone delivery of clinical laboratory specimens and medical supplies moved a step closer to reality with the Federal Aviation Administration’s (FAA) green light to American Robotics (AR) to operate its fully automated drones without on-site pilots or on-the-ground spotters. The...

Attention All Surgical Pathologists: Algorithms for Automated Primary Diagnosis of Digital Pathology Images Likely to Gain Regulatory Clearance in Near Future

Hello primary diagnosis of digital pathology images via artificial intelligence! Goodbye light microscopes! Digital pathology is poised to take a great leap forward. Within as few as 12 months, image analysis algorithms may gain regulatory clearance in the United States for use in primary diagnosis of whole-slide images (WSIs) for certain types of cancer. Such a development will be a true revolution in surgical pathology and would signal the beginning of the end of the light microscope era. A...

University of East Anglia Researchers Develop Non-Invasive Prostate Cancer Urine Test

The researchers believe their test ‘could reduce the number of unnecessary prostate cancer biopsies by 32%,’ UEA reported New diagnostic technologies may make it possible for men to provide a urine sample that can allow a clinical laboratory to not only accurately diagnose prostate cancer but also help determine whether it is an aggressive form of prostate cancer. Researchers in the United Kingdom (UK) recently described just such a test in an online, peer-reviewed journal. Development of a...

Popular Science Review Finds Seven At-Home COVID-19 Antigen Tests ‘Easy to Use’ and ‘An Important Tool to Slow Spread of the Coronavirus’

    In a letter, Congress urged the HHS Secretary to conduct “vigorous oversight and enforces full compliance with the final rule”     Analysis of more than 3,100 hospital websites by The Wall Street Journal (WSJ) has found “hundreds” containing embedded code that prevents search engines from displaying the hospitals’ prices. This is contrary to the Hospital Price Transparency Final Rule (84 FR 65524), passed in November 2019, which requires hospitals to “establish, update,...
;