Shrey Sukhadia has been leading clinical bioinformatics efforts at top tier hospitals in United States, such as Dartmouth-Hitchcock Medical Center, Phoenix Children’s Hospital and Hospital of the University of Pennsylvania. His expertise includes Genomic data analysis, Precision Medicine, Statistics, Artificial intelligence, Imaging-genomics, Transcriptomics, Copy number alterations, Protein structure predictions and protein-protein docking, and Software Engineering.
Through his PhD-research in Radiogenomics at Queensland University of Technology, Australia, Shrey has developed a robust AI-based software named “IMAGENE” for effective integration and analysis of imaging and omics data for cancer patients. IMAGENE has already been tested on Breast, Head-and-Neck, Lung and Brain Cancer datasets and is currently being tested for other cancer types as well. It accommodates both radiology and histopathology (aka tissue slide) imaging data along with omic data such as genomic, proteomic or several patient treatment outcomes and builds robust AI models thereof accompanied by a transparent report. A web app for IMAGENE is freely available at “https://www.imagene.pgxguide.org/index.php” to foster testing of cancer datasets worldwide. It hosts a novel knowledge-base of imaging-genomics’ AI models, thereby aiding the advancement of precision medicine for better (and faster) diagnosis and treatment of cancer patients globally.
Come join us in our efforts to democratize the imaging-genomics analysis for all patients worldwide and provide them with a better future thereof.