Smarter cancer treatment: AI tool automates radiation therapy planning
U of T Engineering researchers develop an artificial intelligence (AI) tool to cut the time of developing radiation therapy plans down to mere hours
Tag: cancer
New stem cell-based gene test predicts patient risk in acute myeloid leukemia
IBBME PhD candidate Stanley Ng applies machine learning background to design smarter, faster test to help leukemia doctors select the best treatment for their patients
Multi-functional, modular nanoparticles could help fight cancer
New cancer-fighting nanoparticles developed at U of T Engineering carry out multiple functions to kill cancer cells while leaving healthy ones alone. They consist of a gold nanorod core (yellow, at
Machine learning reveals unexpected genetic roots of cancers, autism and other disorders
In the decade since the genome was sequenced in 2003, scientists, engineers and doctors have struggled to answer an all-consuming question: Which DNA mutations cause disease? A new computational technique
Using tiny technology to aid in the fight against cancer
This year’s McLean Award winner Aaron Wheeler (IBBME) believes the solution to the colossal challenge of personalizing medicine for cancer patients may be a tiny one. Funded jointly by U of T alumnus