Online Master's in Biomedical Engineering @ Case.edu
A Mighty Force - read full story

In The News

Lin Li, PhD candidate, was awarded an honorable mention for the paper, "Radiomic Features derived from Pre-operative Multi-parametric MRI of Prostate Cancer are associated with Decipher Risk Score."

On Saturday, February 2, 2019, the student organization CWRU MedWish along with Alex Massiello (retired CCF biomedical engineer) transferred 4 PuseOx systems that a clinician from Nadowli Hospital will be taking back to northwest Ghana.

Could the spatial arrangement of immune cells help reveal when aggressive chemotherapy is the right course of action for early-stage lung cancer patients?

Scientists think they've identified a previously unknown form of neural communication that self-propagates across brain tissue, and can leap wirelessly from neurons in one section of brain tissue to another – even if they've been surgically severed.

The manuscript, "Spatial architecture and arrangement of tumor-infiltrating lymphocytes for predicting likelihood of recurrence in early-stage non-small cell lung cancer" by Anant Madabhushi, PhD, F. Alex Nason Professor II of Biomedical Engineering, has been included in NCI’s Epidemiology and Genomics Research Program's (EGRP)’s Research Highlights for 2018. 

A team of US-based researchers has demonstrated how cutting-edge catheter technology can help improve the accuracy of radiofrequency ablation, often used to treat cardiac arrhythmias. So, what technology does the new catheter use — and how exactly does it work?  And what are the ongoing prospects of using it in clinical settings in the future?

The College of American Pathologists (CAP) today published the first-ever evidence-based clinical practice guideline to help laboratories use quantitative image analysis (QIA) in HER2 immunohistochemistry (IHC) testing for breast cancer. Anant Madabhushi, PhD is part of the group that authored these new guidelines for more accurate testing for breast cancer. 

"Artificial Intelligence and Computational Imaging: Applications to Precision Medicine" 

The purpose of CCTRP funding is to support collaborative translational research projects that address unmet or poorly met clinical needs. CCTRP seeks to reduce the market risk of promising new clinical products arising from the research programs of biomedical engineering and other Case Western Reserve University faculty.

Scientists in a computational imaging lab at Case Western Reserve University are hoping that a novel computerized approach that looks for cancer signals outside the tumor area itself will be a historic leap in diagnosing cancer using just routine CAT scans.

Work by Research Associate, Marwa Ismail, in the Brain Image Computing (BrIC) Laboratory was featured on the cover of the December 2018 issue of the American Journal of Neuro-radiology

New technology from Case Western Reserve University can determine if cancer patients need chemo

How science and technology are helping clinicians predict treatment for Crohn's patients

Scientists in a computational imaging lab at Case Western Reserve University are hoping that a novel computerized approach that looks for cancer signals outside the tumor area itself will be a historic leap in diagnosing cancer using just routine CAT scans.

The Institute of Electrical and Electronics Engineers recently announced its 2019 IEEE Fellows, with a plethora of Indian American and South Asian-origin engineers making the cut.

Paralyzed people might one day be able to operate smartphones and tablets just by thinking about the actions they want to perform, with help from sensors implanted in their brains, a recent experiment suggests.

CLEVELAND, OH (WOIO) - FitBits and Apple Watches, for example, are popular wearable devices that many of us already have. But researchers at Case Western Reserve University want to push those devices further using the information they provide to help student athletes.

#10 Smart-imaging computers for cancer prediction

Anant Madabhushi, the F. Alex Nason Professor II of Biomedical Engineering, was recognized by the Institute of Electrical and Electronics Engineers (IEEE) as an IEEE Fellow. He was honored for contributions in image analysis tools for diagnosis and prognosis of diseases.