MIND-S is a deep-learning prediction model for elucidating protein post-translational modifications in human diseases

By sjmartinez • April 15, 2023

Yan Y, Jiang JY, Fu M, Wang D, Pelletier AR, Sigdel D, Ng DCM, Wang W, Ping P. MIND-S is a deep-learning prediction model for elucidating protein post-translational modifications in human diseases. Cell Rep Methods. 2023 Mar 27;3(3):100430. doi: 10.1016/j.crmeth.2023.100430. PMID: 37056379; PMCID: PMC10088250.

Tags: AI, cardiac proteome, Cardiology/Epi, graph neural network, GWAS, interpretability, machine learning, multi-label, protein structure, Publications

Understanding Cardiac Anatomy and Imaging to Improve Safety of Procedures: The Right Ventricular Outflow Tract, Part 2

Miyazaki Y, Park YM, Rimmer M, Miyazaki K, Yamagami S, Izawa Y, Osai N, Hanna P, Fishbein MC, Shivkumar K, Mori S. Understanding Cardiac Anatomy[...]

PSMA PET Imaging for Prostate Cancer Recurrence After Minimally Invasive Focal Therapy: A Single-Center Retrospective Study

Jafarvand M, Farolfi A, Mei R, Djaileb L, Benz M, Chung A, Brisbane W, Marks L, Grogan T, Gafita A, Theus L, Nguyen AT, Czernin[...]

Emerging quantitative CCTA imaging biomarkers for cardiovascular risk stratification: a narrative review

Mora R, Irannejad K, Abbas N, Mogga P, Iskander B, Hubbard L, Roy S, Lakshmanan S, Budoff M, Krishnan S. Emerging quantitative CCTA imaging biomarkers[...]