Data Citizens
By applying artificial intelligence (AI) tools to detect patterns in cellular and radiology images, a nationally respected data scientist is advancing clinicians’ ability to deliver precision medicine to their cancer patients. Read more “Catch the Replay: Anant Madabhushi on AI Advances in Precision Medicine”
Lectures & Seminars
Join us for another “Data Citizens: A Distinguished Lecture Series” talk on AI in Precision Medicine featuring Dr. Anant Madabhushi. Dr. Madabhushi is the Donnell Institute Professor, Biomedical Engineering, at Case School of Engineering, and the Director for the Center for Computational Imaging & Personalized Diagnostics at Case Western Reserve University. Read more “Data Citizens Distinguished Lecture Series presents Anant Madabhushi 5/4”
Join us for another “Data Citizens: A Distinguished Lecture Series” talk on AI in Precision Medicine featuring Dr. Anant Madabhushi. Dr. Madabhushi is the Donnell Institute Professor, Biomedical Engineering, at Case School of Engineering, and the Director for the Center for Computational Imaging & Personalized Diagnostics at Case Western Reserve University. Read more “Data Citizens Distinguished Lecture Series presents Anant Madabhushi 5/4”
Events
Artificial intelligence (AI) has great potential to augment the clinician as a virtual radiology assistant (vRA) through enriching information and providing clinical decision support. Deep learning is a type of AI that has shown promise in performance for Computer Aided Diagnosis (CAD) tasks. A current barrier to implementing deep learning for clinical CAD tasks in radiology is that it requires a training set to be representative and as large as possible in order to generalize appropriately and achieve high accuracy predictions. Read more “Yelena Yesha Lecture 2/5/2020 on Medical Imaging”
Publications
Clinical efficacy of targeted signaling inhibitors for hematologic malignancies is limited by outgrowth of subpopulations with alternative pathways independent of the drug target. The eIF4F complex responsible for translation initiation is a convergence point for cancer-promoting signaling pathways and its inhibition leads to decreased expression of key oncoproteins and apoptosis. Read more “Identification of Tractable Drug-Like elF4AI Inhibitors with Potent Anti-Tumor Activity”
Publications
Chromatin-modifying enzymes, and specifically the protein arginine methyltransferases (PRMTs), have emerged as important targets in cancer. Here, we investigated the role of CARM1 in normal and malignant hematopoiesis. Read more “CARM1 Is Essential for Myeloid Leukemogenesis but Dispensable for Normal Hematopoiesis”
Publications
Cancer is a multifactorial and heterogeneous disease. The corresponding complexity appears at multiple levels: from the molecular and the cellular constitution to the macroscopic phenotype, and at the diagnostic and therapeutic management stages. Read more “Integrative Analysis of Cancer Imaging Readouts by Networks”
Projects
Cancer is a multifactorial disease with a striking heterogeneity due to genetic, epigenetic and transcriptional changes involving a myriad of genes and proteins. While these factors are relevant to clinical prognosis and medical treatment of patients, a system’s approach is needed to unravel the complexities underlying intertwining carcinogenesis mechanisms. Read more “3Moons: Modular, Multiscale, Oncology Networks”