A study evaluating the utility of novel imaging biomarkers (radiomics) to distinguish patients with stage 3 NSCLC may be able to predict who will benefit from treatment from those likely to progress despite therapy.
A researcher with over 25 years of experience, his work focuses on technology that restores or improves function for individuals with limb trauma, dysfunction or amputation.
Dr. Anant Madabhushi is named a Showstopper on The Pathologist’s 2021 Power List. This list celebrates 100 influential figures, thought leaders, and opinion shapers in pathology and laboratory medicine. Dr. Madabhushi was also named to the Power List in 2019 and 2020.
Amir Reza Sadri & Amogh Hiremath received travel awards to MICCAI 2021 to present their accepted MICCAI papers titled "SPARTA: An Integrated Stability, Discriminability, and Sparsity based Radiomic Feature Selection Approach," and “Integrated Lung Deformation Atlas and 3D-CNN Characterization of Infiltrates LuMiRa for COVID-19 Prognosis," respectively.
Congratulations to CCIPD authors Andrew Janowczyk, PhD and Anant Madabhushi, PhD on this recognition of their paper titled, “A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.”
A study evaluating the utility of novel imaging biomarkers (radiomics) to distinguish patients with stage 3 NSCLC may be able to predict who will benefit from treatment from those likely to progress despite therapy.
RuiJiang Li, PhD, Assistant Professor in the Department of Radiation Oncology at Stanford University School of Medicine, will be presenting: Artificial intelligence and imaging for personalized cancer treatment.
An interactive workshop for advanced degree students and early career professionals to build entrepreneurial skills in neurotechnology using the proven Biodesign method.
Pallavi Tiwari, Ph.D., at the Case Comprehensive Cancer Center is working to address this treatment challenge by using machine learning and artificial intelligence to create computational maps of the brain that can help doctors tell the difference between tumor cells and benign radiation effects on MRI scans.
Kayhan Batmanghelich, PhD, from the Department of Biomedical Informatics, University of Pittsburgh, will be presenting, “Incorporating Medical Insight into Machine Learning Algorithms for Learning, Inference, and Model Explanation”.
Most people probably underestimate how much our sense of touch helps us navigate the world around us. New research has made it crystal clear after a robotic arm with the ability to feel was able to halve the time it took for the user to complete tasks.
In the Crain’s Cleveland Business article, “CWRU, University Hospitals are part of a $3 million grant project on lung cancer, immunotherapy”, writer Rachel Abbey McCafferty highlights CCIPD’s role in this research, which will develop AI tools to help predict response to immunotherapy for lung cancer patients.
