Researchers at Tel Aviv University have printed an entire active and viable glioblastoma tumor using a 3D printer.
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.
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 have developed a robotic neck brace that may help doctors analyze the impact of cancer treatments on the neck mobility of patients and guide their recovery.
Clinicians are using patient-specific tumor 'organoid' models as a preclinical companion platform to better evaluate immunotherapy treatment for appendiceal cancer.
Scientists have created a deep learning method, RoseTTAFold, to provide access to highly accurate protein structure prediction.
Being immersed in a stunning 'virtual' Icelandic landscape can reduce the pain caused by uncomfortable medical procedures.
The MasSpec Pen has shown to accurately identify tissues and surgical margins directly in patients and differentiate healthy and cancerous tissue from banked pancreas samples.
New research could help surgeons perform liver resections with greater accuracy and deliver improved patient outcomes.
A team of engineers from Rensselaer Polytechnic Institute and clinicians from Massachusetts General Hospital developed a deep learning algorithm that can help assess a patient's risk of cardiovascular disease with the same low-dose computerized tomography (CT) scan used to screen for lung cancer.
Researchers have used 3D bioprinting technology to create custom-shaped cartilage. They aim to make it easier for surgeons to safely restore the features of skin cancer patients living with nasal cartilage defects after surgery.
Scientists have developed a new generation of microneedles technology which allows the intradermal delivery of living cells in a minimally invasive manner.
Researchers have experimentally demonstrated a novel cancer diagnosis technique based on the scattering of circularly polarized light.
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.
Scientists have designed a portable 3D imaging device which will improve the treatment and diagnosis of cancer.
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.
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.