Efficient analysis and storage of large-scale genomic data. - Marcus D. R. Klarqvist (2019)

Efficient computation of positional population counts using SIMD instructions. - Marcus D. R. Klarqvist; Wojciech Mula; Daniel Lemire (Concurr. Comput. Pract. Exp., 2021)

Selection of 51 predictors from 13, 782 candidate multimodal features using machine learning improves coronary artery disease prediction. - Saaket Agrawal; Marcus D. R. Klarqvist; Connor Emdin; Aniruddh P. Patel; Manish D. Paranjpe; Patrick T. Ellinor; Anthony A. Philippakis; Kenney Ng; Puneet Batra; Amit V. Khera (Patterns, 2021)

Cohort design and natural language processing to reduce bias in electronic health records research. - Shaan Khurshid; Christopher Reeder; Lia X. Harrington; Pulkit Singh; Gopal Sarma; Samuel F. Friedman; Paolo Di Achille; Nathaniel Diamant; Jonathan W. Cunningham; Ashby C. Turner; Emily S. Lau; Julian S. Haimovich; et al. (npj Digit. Medicine, 2022)

Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk. - Marcus D. R. Klarqvist; Saaket Agrawal; Nathaniel Diamant; Patrick T. Ellinor; Anthony Philippakis; Kenney Ng; Puneet Batra; Amit V. Khera (npj Digit. Medicine, 2022)