AI training resources for GLAM: a snapshot. - Andrew Darby; Catherine Nicole Coleman; Claudia Engel; Daniel van Strien; Mike Trizna; Zachary W. Painter (CoRR, 2022)

Approaching Unanticipated Consequences. - Andrew Darby; Pete Sawyer; Nelly Bencomo (CoRR, 2023)

Machine learning of ECG waveforms and cardiac magnetic resonance for response and survival after cardiac resynchronization therapy. - Derek J. Bivona; Sona Ghadimi; Yu Wang 205; Pim J. A. Oomen; Rohit Malhotra; Andrew Darby; J. Michael Mangrum; Pamela K. Mason; Sula Mazimba; Amit R. Patel; Frederick H. Epstein; Kenneth C. Bilchick (Comput. Biol. Medicine, 2024)

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems. - Sohan Shankar; Yi Pan 001; Hanqi Jiang; Zhengliang Liu; Mohammad R. Darbandi; Agustin Lorenzo; Junhao Chen; Md Mehedi Hasan; Arif Hassan Zidan; Eliana Gelman; Joshua A. Konfrst; Jillian Y. Russell; et al. (CoRR, 2025)