18.02.2020By adding infrared capability to the ubiquitous, standard optical microscope, researchers at the University of Illinois at Urbana-Champaign hope to bring cancer diagnosis into the digital era.
17.01.2020Researchers at Osaka University have developed a computer method that uses magnetic resonance imaging (MRI) and machine learning to rapidly forecast genetic mutations in glioma tumors, which occur in the brain or spine. The work may help glioma patients to receive more suitable treatment faster, giving better outcomes. The research was recently published in Scientific Reports.
16.01.2020Researchers at Radboud university medical center have developed a 'deep learning' system that is better than most pathologists at determining the aggressiveness of prostate cancer. The AI system, which uses tissue samples to arrive at its diagnosis, taught itself to identify prostate cancer based on data from over 1200 patients.
13.01.2020Researchers at Osaka University used electron cryomicroscopy (CryoEM) to image essential cardiac muscle components, known as thin filaments, with unprecedented resolution. They also discovered the mechanism by which these filaments regulate heartbeat via cardiac muscle contractions in the presence or absence of calcium ions by changing their conformations.
07.01.2020A UCLA-led study revealed a new way to predict which patients with "stable" heart failure – those who have heart injury but do not require hospitalization – have a higher risk of dying within one to three years.
11.12.2019Much remains unknown about diseases and the way our bodies respond to them, in part because the human genome is the complete DNA assembly that makes each person unique. A Virginia Tech professor and his team of researchers have created new technology to help in understanding how the human body battles diseases.
11.12.2019UT Southwestern researchers have developed a software tool that uses artificial intelligence to recognize cancer cells from digital pathology images - giving clinicians a powerful way of predicting patient outcomes.
03.12.2019Oregon State University research has provided the first complete, cellular-level look at what is going on in joints afflicted by osteoarthritis, a debilitating and costly condition that affects nearly one-quarter of adults in the United States.
27.11.2019Diascopic LLC, a Cleveland-based medical research company that develops diagnostic technology, will use a highly competitive federal grant to develop and apply new artificial intelligence (AI) and digital pathology tools for detecting tuberculosis (TB).
04.11.2019Since its inception, MEDICA TECH FORUM has focused on the implementation of innovations and new technologies into clinical practice. 2019 marks the tenth year of the Forum. In honor of its anniversary, we will brighten things up a bit, as one of the focal points will highlight how optical coherence tomography (OCT) uses light to produce images.
08.08.2019After their tumor has been removed, some patients have to return to the hospital to undergo surgery again. That's because the tumor was not precisely identified and was subsequently not completely removed. That's both an ethical and financial dilemma. A new surgery-adjacent procedure is designed to rapidly and accurately detect tumors.
01.08.2019The medical devices value chain has gaps between academic research and industrial practice that slow down innovation processes. This also applies to time-sensitive and urgently needed products such as rapid diagnostic tests to identify resistant pathogens. At the InfectoGnostics Research Campus in Jena, partners from research and medicine team up to close these gaps.
01.02.2019Organ-on-a-chip systems are technically a great enhancement of medical research because they facilitate testing of active ingredients on cell cultures in the chambers of a plastic chip. This replaces animal testing and improves patient safety. That being said, they are not a true-to-life replication of the human body and can only simulate a few functions and activities.
22.08.2018Mix-ups, contamination and sample loss – most errors in pathology happen when specimen are received. Countless samples arrive daily at the laboratory, while the sample entry process is very monotonous. As a result, the work is inefficient. The start-up company inveox has now developed a system that automates the processes in the pathology laboratory, thus making them more efficient.
23.10.2017According to the WHO, 300 million people throughout the world are affected by lymphedema. This condition occurs when fluid that flows between cells is no longer transported back into the blood circulation and accumulates in the skin. Triggers can be surgeries, injuries or genetic defects for example. A new microscopy technique could now also indicate the causes.