Online Master's in Biomedical Engineering @ Case.edu
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In The News

 “Predicting response to anti-vascular endothelial growth factor therapy with computer-extracted morphology and spatial arrangement features of leakage patterns on baseline fluorescein angiography in diabetic macular edema” and “Methods and apparatus for predicting benefit from immunotherapy using tumoral and peritumoral radiomic features”

Predicting outcome in invasive breast cancer from collagen fiber orientation disorder features in tumor associated stroma

Please join us for a virtual Machine Learning Working Group Meeting on April 5, from 11 am-12 pm EST. Dr. Pingkun Yan, Assistant Professor in the Department of Biomedical Engineering at Rensselaer Polytechnic Institute (RPI) will present “Deep learning Predicts Risks from Chest CT”.

Anant Madabhushi, PhD, is quoted in the article for his insight on the potential impacts AI can have on the optimization of both diagnostic and prognostic clinical decisions.

New research demonstrates ability to manipulate nanobubble size, acoustic resonance and, ultimately, ultrasound effectiveness

In a BrainX Talks podcast episode, Dr. Anant Madabhushi discusses CCIPD’s unique approach to globally scalable AI, aspects of social justice while applying AI in healthcare, setting up fruitful partnerships with clinicians, and achieving commercial and academic success.

Members of the Center for Computational Imaging and Personalized Diagnostics took first place with their presentation of RadxTools at the Technical Workshop: Computer-Aided Diagnosis of the Society of Photo-optical Instrumentation Engineers (SPIE) Medical Imaging conference on February 17th. 

Computerized image analysis can predict cancer outcomes
 

His talk titled, “Applying a Novel AI Approach to Concluded Clinical Trial Data to Predict Response to Cancer Immunotherapy ”, was part of the “Advancements in IO Imaging“  track held on February 24th. 

Members of the Center for Computational Imaging and Personalized Diagnostics presented at the Technical Workshop: Computer-Aided Diagnosis on February 17th of the Society of Photo-optical Instrumentation Engineers (SPIE) Medical Imaging conference. 

“Probabilistic atlases of post-treatment multi-parametric MRI scans reveal distinct hemispheric distribution of glioblastoma progression versus pseudo-progression”.

The American Institute for Medical and Biological Engineering (AIMBE) has announced the election of Anirban Sen Gupta, Ph.D., Full Professor, Department of Biomedical Engineering, Case Western Reserve University to its College of Fellows. 

Promise and Reality of the Brave New World.. His talk titled, “Pathomics for Precision Oncology”, will be held on March 7th, 2021, 8:00am - 8:30am EST. 

After receiving a nomination to The Pathologist’s 2020 Power List, Anant Madabhushi, PhD, will be speaking alongside other nominees during the virtual event on March 2.

Researchers discover biomarkers to identify lung cancer patients who could be made worse by same drugs that helps many others

“Predicting pathological complete response to neoadjuvant chemotherapy from baseline breast dynamic contrast enhanced magnetic resonance imaging (DCE-MRI)” and “Predicting response to immunotherapy using computer extracted features relating to spatial arrangement of tumor infiltrating lymphocytes in non-small cell lung cancer”.

For all the promise of AI-created precision medicines, observers say there’s a long way to go before they'll come to a drugstore near you. Anant Madabhushi, a biomedical engineering professor at Case Western Reserve University School of Medicine, said, "there is a lot of optimism but also a lot of hype" in the use of AI for precision medicine.

The Research Highlights collection showcases the breadth of work being done by primary investigators with the support of grants from the EGRP portfolio. 

Inspirata: Upcoming fireside chat on Digital Pathology Innovation, being held virtually on March 2nd, featuring The Pathologist’s 2020 Power List, including Case Western Reserve University's 
Anant Madabhushi.

These hybrid nanoparticle systems can be intravenously administered to enable targeted hemorrhage control in treating traumatic injuries, and can act as platelet surrogates when platelet products are unavailable for transfusion.