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

Sudden cardiac arrest: Limitations in risk-stratification and treatment, and the potential for digital technologies and artificial intelligence to improve prediction and outcomes

Srivats S, Zghyer F, Shahrori Z, Albert C, Al-Khatib SM, Chugh S, Etheridge SP, Goldberger ZD, Gopinathannair R, Lakkireddy D, Morin DP, Perez MV, Rottmann[...]

Distal electrical stimulation enhances neuromuscular reinnervation and satellite cell differentiation for functional recovery

Lin CW, Chen SH, Cheng SM, Chung TC, Liu W, Hwang DY, Li S, Lin SC, Hsueh YY. Distal electrical stimulation enhances neuromuscular reinnervation and[...]

Implementing a Cardiology Quality Incentive Program to Improve Guideline-Directed Medical Therapy

Cho DJ, Bokhoor PI, Dermenchyan A, Brownell N, Delavin NL, Furlong S, Hoo J, Tibbe T, Chen LY, Vangala S, Waterman BA, Han M, Fonarow[...]