Electrical and Computer Engineering
menu MENU
Home > News > All News > Cancer

Cancer

News Feed

Enabling large-scale testing of cancer drugs with machine learning

Prof. Euisik Yoon and his team developed a new machine learning tool that enables large-scale testing of cancer drug effectiveness with microfluidics.

Two ‘U’ researchers receive Distinguished University Innovator Award

The Michigan Daily profiles Professors David Blaauw and Dennis Sylvester, who are this year’s recipients of the 2019 Distinguished University Innovator Award.

By Cannibalizing Nearby Stromal Stem Cells, Some Breast Cancer Cells Gain Invasion Advantage

Cancer biologists and engineers collaborated on a device that could help predict the likelihood of breast cancer metastasis.

Biopsy alternative: “Wearable” device captures cancer cells from blood

New device caught more than three times as many cancer cells as conventional blood draw samples.

An even smaller world’s smallest ‘computer’

The latest from IBM and now the University of Michigan is redefining what counts as a computer at the microscale.

Students win prizes for improving image processing techniques for liver cancer detection and much more

Students in EECS 556: Image Processing, explore methods to improve image processing in applications such as biomedical imaging and video and image compression

‘Sister cell’ profiling aims to shut down cancer metastasis

Michigan engineers release individual cells from a specially-designed chip using laser pulses.

Cancer stem cells: new method analyzes 10,000 cells at once

A new tool for making sense of the cells believed to cause cancer relapses and metastases.

Using data science to achieve ultra-low dose CT image reconstruction

Ultra-low dose CT scans that provide superior image quality could not only benefit patients, but they could open up entirely new clinical applications.

What makes cancer cells spread? New device offers clues

Why do some cancer cells break away from a tumor and travel to distant parts of the body? A team of oncologists and engineers from the University of Michigan teamed up to help understand this crucial question.

Fighting lung cancer: Faster image processing for low-radiation CT scans

This advance could be important for fighting lung cancers, as symptoms often appear too late for effective treatment.

Student Spotlight: Mai Le – Finding a better way to diagnose breast cancer with MRI

The research group is using statistical signal processing to create crisper images with only 20% of the data required by a traditional MRI scan.

Biochips for better cancer therapy

One promising area of cancer treatment is photodynamic therapy, which combines the agents of a photosensitive drug, light, and oxygen.