3D printed copper components for linear accelerators
For the first time, researchers have 3D printed essential quadrupole components for linear accelerators from pure copper.
Search for: tumor classes
AI Eve augments genetic tests
AI model called EVE shows remarkable capacity to interpret the meaning of gene variants in humans as benign or disease-causing.
Deep learning: classifying brain tumors with a single 3D MRI scan
A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan.
AI assesses metastatic potential in skin cancers
Using a deep learning algorithm, researchers have developed a way to accurately predict which skin cancers are highly metastatic.
Medical data paves the way for machine learning
An consortium aims to transform the field of prostate cancer care by unlocking the potential of big data and big data analytics.
AI can identify cancerous cells by their acidity
Using a special dye, cells are colored according to their pH, and a machine learning algorithm can detect changes in the color spectrum due to cancer.
Precision health in the palm of your hand
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
AI finds patterns of mutations in tumour images
Researchers have developed an AI algorithm that uses computer vision to analyze tissue samples from cancer patients.
Janggu makes deep learning a breeze
Researchers have developed a new tool that makes it easier to maximize the power of deep learning for studying genomics.
Neural network can determine lung cancer severity
Researchers have created an artificial neural network that analyzes lung CT scans to provide information about lung cancer severity that can guide treatment options.
Machine learning improves breast cancer research
Researchers have developed a new, faster method to identify cancer stem-like cells (CSCs), which could help improve the effectiveness of cancer treatments.
Machine learning enhances brain tumour diagnosis
A new AI approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report.
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.
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.
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,
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.
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.
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 optimizes embryo selection for IVF
An AI approach can identify with high accuracy whether a 5-day-old, in vitro fertilized human embryo has a high potential to progress to a successful pregnancy.
AI classifies lung cancer slides at pathologist level
Researchers have utilized machine learning capabilities to assist with the challenging task of grading tumor patterns and subtypes of lung adenocarcinoma.
AI predicts survival of ovarian cancer patients
Researchers have created new machine learning software that can forecast the survival rates and response to treatments of patients with ovarian cancer.