Imaging: peeking into the genome of brain tumors
17.01.2020
Researchers 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.
Prostate cancer can now be diagnosed better using AI
16.01.2020
Researchers 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.
Electron cryomicroscopy shows cardiac thin filament structure
13.01.2020
Researchers 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.
Biomarker predicts risks in patients with heart failure
07.01.2020
A 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.
Analyser system: Epigenomic technology combats disease
11.12.2019
Much 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.
Software tool: AI helps doctors identify cancer cells
11.12.2019
UT 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.
Imaging study paves way to better understanding of arthritis
03.12.2019
Oregon 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.
AI: startup developing tool for tuberculosis detection
27.11.2019
Diascopic 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).
MEDICA TECH FORUM: light-based imaging technique OCT
04.11.2019
Since 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.
Microscope: malaria pathogen under X-ray
31.10.2019
Around 40 percent of humanity lives in regions affected by malaria, around 200 million people contract the disease every year, and an estimated 600,000 people die as a result. These pathogens are unicellular organisms that settle inside the red blood cells of their hosts and metabolize hemoglobin there to grow and multiply.
Tumor excision: triple imaging for unique diagnostics
08.08.2019
After 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.
Photonics: "We want a rapid and easy method to identify pathogens and antibiotic resistance"
01.08.2019
The 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.
Organ-on-a-chip systems: limited validity?
01.02.2019
Organ-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.
Pathology 4.0 – inveox automates laboratory processes
22.08.2018
Mix-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.
Pathology: detecting lymphedema with 3D microscopy
23.10.2017
According 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.