Deep learning yields new antibiotic
An AI model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
Artificial intelligence
Artificial intelligence has unimaginable potential to revolutionize medicine. We cover the latest technology breakthroughs of machine learning and deep learning algorithms that process mindboggling amounts of data, spot even the smallest detail in medical images and help medical professionals in designing treatment plans.
How many gender subtypes exist in the brain?
New machine learning study suggest the presence of at least nine gender “expressions”.
AI helps predict heart attacks and stroke
In a new study, artificial intelligence has been used for the first time to instantly and accurately measure blood flow.
AI analyzes myoclonus severity from video footage
Thanks to a deep convolutional neural network architecture, fast, reliable and automatic assessment of the severity of myoclonic jerks from video footage is now possible.
AI finds disease-related genes
An artificial neural network can reveal patterns in huge amounts of gene expression data, and discover groups of disease-related genes.
A 'multitasking' AI tool quickly extracts cancer data
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.
Hybrid microscope could bring digital biopsy to the clinic
By adding infrared capability to the ubiquitous, standard optical microscope, researchers hope to bring cancer diagnosis into the digital era.
AI may alter how doctors treat depression
Artificial intelligence may soon play a critical role in choosing which depression therapy is best for patients.
Colon cancer: AI-based marker can improve quality of treatment
Usind deep learning and digital scanning of conventional hematoxylin and eosin-stained tumor tissue sections, researchers have developed a clinically useful prognostic marker.
Deep learning model accurately identifies sleep stages
A deep learning model can identify sleep stages as accurately as an experienced physician.
AI & MRI look into the genome of brain tumors
Researcher have developed a computer method that uses MRI and machine learning to rapidly forecast genetic mutations in glioma tumors,
Deep learning, 3D tech create better drugs
Researchers have designed a novel approach to use deep learning to better understand how proteins interact in the body.
Using AI to detect and grade prostate cancer
Researchers have developed a method based on artificial intelligence for histopathological diagnosis and grading of prostate cancer.
AI and laser-based imaging system identify brain tumors
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors.
Smart algorithm finds possible future treatment for childhood cancer
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma.
Google-powered AI spots breast cancer
A computer algorithm has been shown to be as effective as human radiologists in spotting breast cancer from x-ray images.
AI tracks down acute myeloid leukemia
Artificial intelligence can detect one of the most common forms of blood cancer—acute myeloid leukemia (AML)—with high reliability.
AI identifies features associated with cancer recurrence
An AI has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors.
Neural network for elderly care could save millions
A deep neural network model helps predict healthcare visits by elderly people, with the potential to save millions.
Deep learning boosts MRI detection of ADHD
Deep learning can boost the power of MRI in predicting attention deficit hyperactivity disorder (ADHD).
AI detects even the smallest metastases
Researchers have developed a new algorithm that enables automated detection of metastases at the level of single disseminated cancer cells in whole mice.
ConvPath software uses AI to identify cancer cells
A software tool uses artificial intelligence to recognize cancer cells from digital pathology images — giving clinicians a powerful way of predicting patient outcomes.
Deep learning identifies molecular patterns of cancer
An AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
AI predicts success of digital health interventions
A new statistical technique from the field of machine learning is now making it possible to predict the success of smartphone-based interventions more accurately.
Rapid test to diagnose asthma
Researchers use machine learning to developing a rapid test that requires only a drop of blood to diagnose asthma.
Using AI to reveal how memories are coded in the brain
Researchers have discovered that a population of neurons in the brain’s frontal lobe contain stable short-term memory information within dynamically-changing neural activity.
AI for intensive care of traumatic brain injury
AI-based algorithm may be utilized in the intensive care unit for treating patients with severe traumatic brain injury.
Smart microscope adapts to diagnose infectious diseases
Using machine learning, a prototype microscope teaches itself the best illumination settings for diagnosing malaria.
AI predicts effectiveness of immunotherapy
Scientists can determine which lung-cancer patients will benefit from expensive immunotherapy.