Under the supervision of Dr. Pallavi Tiwari, Niha’s PhD research focused on developing assistive diagnostic tools in the field of neuro-oncology using data science and machine learning techniques.
Dr. Anant Madabhushi predicts, “2021 will also likely see more innovation in non-black-box (interpretable AI) technologies in order to make them more amenable for use by clinicians and physicians.”
Scientists, medical researchers at Case Western Reserve, NYU Langone Health and University Hospitals using machine-learning to predict response to immunotherapy
In the last month, two patents were awarded to inventors from the Center for Computational Imaging and Personalized Diagnostics (CCIPD): “Predicting recurrence in early stage non-small cell lung cancer (NSCLC) using spatial arrangement of clusters of tumor infiltrating lymphocytes and cancer nuclei”, and “Hough transform-based vascular network disorder features on baseline fluorescein angiography scans predict response to anti-VEGF therapy in diabetic macular edema”.
On April 7th, 2021, Anant Madabushi, PhD, gave the talk, "Prognostic and Predictive Radiomics and Pathomics: Implications for Precision Medicine", at the University of Washington’s Pathology Grand Rounds.
“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”
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.
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.
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.
