Surgical data science: data-driven assistance in the OR
In the next-generation operating room interconnected sensors will collect data, analyse it in real-time and make it available to digital assistance functions.
tumors
Using bioprinting and computer modeling to examine cancer spread
Scientists have paired 3D-printed, living human brain vasculature with advanced computational flow simulations to better understand tumor cell attachment to blood vessels.
Mouth and throat cancer: Robotic surgery may improve outcomes
Robotic surgery for patients with early stage, oropharyngeal squamous cell cancer is associated with improved health outcomes, including better long-term survival.
Federated learning allows hospitals to share data privately
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.
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.
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.
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.
Deep learning accurately stains digital biopsy slides
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
AI may help brain cancer patients avoid biopsy
Brain cancer patients in the coming years may not need to go under the knife to help doctors determine the best treatment for their tumors.
Sensors could offer early detection of lung tumors
Researchers have developed a new approach to early diagnosis of lung cancer: a urine test that can detect the presence of proteins linked to the disease.
Imaging technique to study 3D printed brain tumors
Researchers demonstrated a methodology that combines the bioprinting and imaging of glioblastoma cells in a way that more closely models what happens inside the human body.
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.
Biosensors detect for tumors and dengue fever
Researchers have developed a tumor biosensing chip that can help determine the optimum dosage of chemotherapy required for a cancer patient.
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,
Using tumor-on-a-chip to find cancer drugs
Researchers have developed a 'tumor-on-a-chip' that can better mimic the environment inside the body, paving the way for improved screening of potential cancer fighting drugs.
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 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 effectiveness of immunotherapy
Scientists can determine which lung-cancer patients will benefit from expensive 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.
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.
Machine learning improves diagnostics of head and neck cancers
Researchers used artificial intelligence to develop a new classification method which identifies the primary origins of cancerous tissue based on chemical DNA changes.
Microrobots could deliver drugs to specific spots
Researchers are developing microrobots that can deliver drugs to specific spots inside the body while being monitored and controlled from outside the body.
Cancer: AI identifyies patients for immunotherapy
Stomach and colorectal cancer: Identifying patients at an early stage who are suitable for artificial intelligence immunotherapy.
Fantastic Voyage: Nano-bot can probe inside human cells
Researchers have built a set of magnetic ‘tweezers’ that can position a nano-scale bead inside a human cell in three dimensions with unprecedented precision.
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.
3D printed tumor model shows interaction with immune cells
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.