Our New England Journal of Medicine AI Case Report evaluating histopathology slide search engines on unseen patient cases is out: https://t.co/0U4lwNhTWi
Our new preprint (led by super star PhD student Lucy Pham) on leveraging protein language models to enable peptide sequencing is out! https://t.co/lJUzqZgijJ
Second year PhD candidate in my group @jp_veerla is off to @GoogleResearch to work on Gemini model safety this summer. Congratulations Jai! https://t.co/O9Q7XYcU2z
Is AI-driven clinical-grade search of pathology images/slides ready for prime time? @NEJM_AI a case study with four leading programs suggests not yet. https://t.co/WWPDNJHPYu Accompanying editorial provides context and roadmap https://t.co/96bcpZv0oM
We partnered with @UCLAHealth to investigate how PRS313, a polygenetic risk score, predicted breast cancer across 18,637 diverse American women. We subtype HR+ & HER2+ breast cancers based on Rx data from EHR & show ethnicity dependent efficacy. Details: https://t.co/z3hABj0a3l
Our paper "A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels" has been accepted at the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology!
https://t.co/hiepH7XJYD
Our new preprint "Multimodal Pathology Image Search Between H&E Slides and Multiplexed Immunofluorescent Images" is out on arXiv! https://t.co/NJ7KyhjEYu
Our paper on interpretable highly compressed VAE latent spaces for pathology H&E slide search is out (IEEE ISBI 2023 Proceedings): https://t.co/aktmXvmJcw
Paul Yi, the Director of the University of Maryland Medical Intelligent Imaging Center is coming to UTA tomorrow on Wednesday May 24th from 11:00 - 12:00pm.
He will be giving a talk about AI and its potential to revolutionize Radiology, in the SEIR building room 194.