Researchers have tested a sensor for measuring hydrogen peroxide concentrations near cell membranes. The sensor has the potential to become a tool for new cancer therapies.
Search for: pathology
Egidijus Pelanis, a medical doctor at Oslo University Hospital, explains how extended realities is applied in the operating room.
Scientists have developed a bio-compatible implantable AI platform that classifies in real time healthy and pathological patterns in biological signals.
For the first time, a steerable catheter will give neurosurgeons the ability to steer the device in any direction they want while navigating the brain's arteries and blood vessels.
A deep learning-based technique can be used to eliminate the need for special stains to be prepared by human histotechnologists.
Researchers at Tel Aviv University have printed an entire active and viable glioblastoma tumor using a 3D printer.
AI tools models are a powerful tool in cancer treatment. However, unless these algorithms are properly calibrated, they can sometimes make inaccurate or biased predictions.
Researchers used an artificial intelligence (AI) algorithm to sift through terabytes of gene expression data to look for shared patterns in patients with past pandemic viral infections, including SARS, MERS and swine flu.
Medtronic partners with Surgical Theater to provide the first augmented reality platform for use in real-rime during complex cranial procedures.
Researchers have developed a novel skin-mounted sticker that absorbs sweat and then changes color to provide an accurate, easy-to-read diagnosis of cystic fibrosis within minutes.
Using AI and mobile digital microscopy, researchers hope to create screening tools that can detect precursors to cervical cancer in women in resource-limited settings.
Dr Jan Stallkamp has a vision: robots that can treat patients more efficiently and more precisely than any human physician.
Researchers have developed an “organs-on-a-chip” system that replicates interactions between the brain, liver, and colon.
Researchers have used lasers and molecular tethers to create perfectly patterned platforms for tissue engineering.
Researchers have developed an AI tool that can measure the volume of cerebral ventricles on MRIs in children within about 25 minutes.
Researchers have developed a robotic exoskeleton that improves the lives of people with limited or no ability to move due to neurological and/or physiological disorders.
Radiator-like fluid systems adjust the genetic wiring inside human liver cells in preliminary work toward artificial organ-tissue engineering.
Artificial intelligence is developing at an enormous speed and intelligent instruments will profoundly change surgery and medical interventions.
Researchers havee repurposed robotic technology normally used for synthetic biology research to help with testing for COVID-19.
Researchers have shown that federated learning is successful in the context of brain imaging, by being able to analyze MRI scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
In order for a COVID-19 vaccine and antiviral drugs to be developed, scientists first need to understand why this virus spreads so easily and quickly, and why it invades our bodies with seemingly little resistance from our immune system.
A robotic testing platform developed in just nine days by dementia researchers could substantially increase the UK’s capacity to test people for coronavirus.
Researchers have developed a "smart" contact lens that can show real-time changes in moisture and pressure by altering colors.
Researchers at the University of Connecticut have developed a lensless microscope that allows an observer to enjoy an enormous field of view.
To better leverage cancer data for research, scientists are developing an artificial intelligence-based natural language processing tool to improve information extraction from textual pathology reports.
By adding infrared capability to the ubiquitous, standard optical microscope, researchers hope to bring cancer diagnosis into the digital era.
Usind deep learning and digital scanning of conventional hematoxylin and eosin-stained tumor tissue sections, researchers have developed a clinically useful prognostic marker.
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors.
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma.
An AI has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors.
A software tool uses artificial intelligence to recognize cancer cells from digital pathology images — giving clinicians a powerful way of predicting patient outcomes.
Radiologists assisted by deep learning based software were better able to detect malignant lung cancers on chest X-rays.
Watching immersive 3D videos of icy Arctic scenes helps to relieve burning pain and could hold hope for treating chronic pain.
Based on a convolutional neural network the tool is able to provide results within seconds, thus supporting the doctor with comprehensive image analysis.
Combining new wearable electronics and a deep learning algorithm could help disabled people wirelessly interact with a computer.
Researchers used artificial intelligence to develop a new classification method which identifies the primary origins of cancerous tissue based on chemical DNA changes.
Researchers have utilized machine learning capabilities to assist with the challenging task of grading tumor patterns and subtypes of lung adenocarcinoma.
A team of experts led by two University of Michigan researchers calls for attention to this shadow record.
In a matter of seconds, a new algorithm read chest X-rays for 14 pathologies, performing as well as radiologists in most cases, a Stanford-led study says.
A wide range of fetal genetic abnormalities could soon be detected in early pregnancy thanks to researchers using lab-on-a-chip, non-invasive technology.
The advent of electronic medical records with large image databases, along with advances in AI with deep learning, is offering medical professionals new opportunities to improve image analysis and disease diagnostics.
A new robotic system developed can help diagnose neurodegenerative diseases, such as dementia and Parkinson, through the analysis of eye movements.