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.
oncology
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.
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.
Hand-held robot points to less invasive prostate surgery
Collaborators are developing an endoscopic robotic system with two-handed dexterity at a much smaller scale than existing options.
Cancer cryoablation probe could help breast cancer patients
Carbon dioxide-based cancer tissue-freezing approach may help more breast cancer patients in lower income countries, animal studies show.
Jellyfish-inspired robot to deliver drugs inside body
Scientists have developed a robot that looks and moves like a jellyfish; the aim is for Jellyfishbot to be applied in the treatment of cancer.
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 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.
Lab-on-a-chip detects cancer less invasively
A new ultrasensitive diagnostic device could allow doctors to detect cancer quickly from a droplet of blood or plasma, leading to timelier interventions and better outcomes for patients.
App uses AI to guide cancer patients
MyPath is a mobile application that gives breast cancer patients personalized recommendations on everything from side effects to insurance.
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.
Digital attack on cancer
Several research groups at the Berlin Institute of Health (BIH) are working on digitally combating cancer, comparing experiences with different diagnostic and treatment methods.
Machine learning model predicts cancer patients’ symptoms
Doctors could get a head start treating cancer thanks to new AI developed at the University of Surrey that is able to predict symptoms and their severity throughout the course of a patient’s treatment.
Single-port robotic surgery speeds recovery for prostate cancer patient
UT Southwestern has become the first medical center in Texas to use a robotic tool that allows surgeons to perform complicated operations using just a single incision.