For the first time, researchers have 3D printed essential quadrupole components for linear accelerators from pure copper.
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Electronic skins will play a significant role in monitoring, personalized medicine, prosthetics, and robotics.
Graphene represents incredible opportunities for advancement in many fields, including medical science.
Researchers at Tel Aviv University have printed an entire active and viable glioblastoma tumor using a 3D printer.
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.
A study shows that magnetic millirobots can climb slopes, move against fluid flow and precisely deliver substances to neural tissue.
A tool, based on machine learning methods, that evaluates the potential contribution of all possible mutations in a gene in a given type of tumour to the development and progression of cancer.
To reduce tissue injury side effects from radiation therapy, researchers have developed 3D-printed gastrointestinal radioprotective devices that can be generated from patient CT scans.
AI is helping researchers decipher images from a new holographic microscopy technique needed to investigate a key process in cancer immunotherapy “live” as it takes place.
Researchers have developed a minuscule robot that could revolutionize surgical procedures for treating prostate cancer.
Scientists have paired 3D-printed, living human brain vasculature with advanced computational flow simulations to better understand tumor cell attachment to blood vessels.
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.
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors.
Researchers are using laser scalpels and precision robotics to make tattoo removal faster, more accurate and less painful.
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.
An AI tool identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.
Thanks to developments in 3D bioprinting, the UT researchers could create a miniature brain model representing the delicate tissue around the tumor, including the macrophages.