A new approach combining CT and "radiomics," which extracts data from medical images, may be able to determine which patients with lung cancer are most likely to respond to chemotherapy.
Using data from computed tomography (CT) images, researchers may be able to predict which lung cancer patients will respond to chemotherapy, according to a new study published in the journal Radiology: Artificial Intelligence.
Research participant Keith Vonderhuevel demonstrated a prototype artificial hand, featuring a sense of touch, at a 2017 Capitol Hill event sponsored by Friends of VA Medical Care and Health Research.
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.
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.
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.
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.
