Machine learning predicts side effects from chemotherapy
Researchers have developed a machine learning model that can predict chemotherapy-associated nephrotoxicity.
oncology
Bioprinting nanoparticles for ovarian cancer immunotherapy
Nanoengineers plan to develop an immunotherapy for ovarian cancer using 3D-bioprinted plant virus nanoparticles.
Melanoma: patch may be a treatment option
Scientists at Purdue University have developed a skin patch that can deliver chemotherapy into melanoma tumors in an effective and painless way.
AI and probabilistic modelling applied to oncology
Improving the prediction of survival indicators in patients with breast cancer using tools from artificial intelligence and probabilistic modelling is the aim of ModGraProDep.
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.
Lung cancer: AI could predict risk of recurrence
Computer scientists working with pathologists have trained an AI tool to determine which patients with lung cancer have a higher risk of their disease coming back after treatment.
AI model accurately classifies colorectal polyps
An AI model for automated classification of colorectal polyps could benefit cancer screening programs by improving efficiency, reproducibility, and accuracy.
App detects side effect of breast cancer treatment
Commercially available app-based technology now makes early detection of lymphedema easier, allowing for proactive treatment.
Surgeons successfully treat brain aneurysms using a robot
Using a robot to treat brain aneurysms is feasible and could allow for improved precision when placing stents, coils and other devices.
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.
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.
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.
Sensor chip detects cancer biomarker in urine
Researchers have used a chip-based sensor with an integrated laser to detect very low levels of a cancer protein biomarker in a urine sample.
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 effectiveness of immunotherapy
Scientists can determine which lung-cancer patients will benefit from expensive immunotherapy.
Deep learning assists in detecting malignant lung cancers
Radiologists assisted by deep learning based software were better able to detect malignant lung cancers on chest X-rays.
AI-driven blood cell classification supports leukemia diagnosis
Researchers show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia.
AI system predicts which cancer patients benefit from immunotherapy
Using machine learning, researchers have built a tool that detects genetic mutations that trigger the immune system, helping identify which cancer patients are likely to benefit from immunotherapy.
3D-printed device exposes cancer cells
A 3D-printed cell trap developed in the laboratory at Georgia Tech captures blood cells to isolate tumor cells from a blood sample.
Using AI to predict risk of thyroid cancer on ultrasound
Researchers from Thomas Jefferson University use machine learning on ultrasound images of thyroid nodules to predict risk of malignancy.
Combination of AI and radiologists accurately identified breast cancer
An AI tool identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.
On the path to safe nanomedicine
Scientists have now developed guidelines that should enable the safe development of nanoparticles for medical use.
AI improves biomedical imaging
Researchers use artificial intelligence to improve quality of images recorded by a relatively new biomedical imaging method.
VR models help yield better surgical outcomes
Researchers found that using 3D models to prepare for kidney tumor surgeries resulted in substantial improvements, including shorter operating times.