How will the fabless model survive? - Thomas Hartung; Jim Kupec; Ana Hunter; Brad Paulsen; Felicia James; Nick Yu (DAC, 2006)

A structured approach to identifying European critical infrastructures. - Carmelo Di Mauro; Sara Bouchon; Christiaan Logtmeijer; Russ D. Pride; Thomas Hartung; Jean-Pierre Nordvik (Int. J. Crit. Infrastructures, 2010)

Pre-clinical characterization of [11C]R05013853 as a novel radiotracer for imaging of the glycine transporter type 1 by positron emission tomography. - Edilio Borroni; Yun Zhou 006; Susanne Ostrowitzki; Daniela Alberati; Anil Kumar; Dominik Hainzl; Thomas Hartung; John Hilton; Robert F. Dannals; Dean F. Wong (NeuroImage, 2013)

CIIPro: a new read-across portal to fill data gaps using public large-scale chemical and biological data. - Daniel P. Russo; Marlene T. Kim; Wenyi Wang; Daniel Pinolini; Sunil M. Shende; Judy Strickland; Thomas Hartung; Hao Zhu 012 (Bioinform., 2017)

Making Big Sense From Big Data. - Thomas Hartung (Frontiers Big Data, 2018)

Editorial: Artificial Intelligence for Precision Medicine. - Jun Deng; Thomas Hartung; Enrico Capobianco; Jake Y. Chen; Frank Emmert-Streib (Frontiers Artif. Intell., 2021)

Similarities and Differences in Gene Expression Networks Between the Breast Cancer Cell Line Michigan Cancer Foundation-7 and Invasive Human Breast Cancer Tissues. - Vy Tran; Robert Kim; Mikhail Maertens; Thomas Hartung; Alexandra Maertens (Frontiers Artif. Intell., 2021)

Prospective Learning: Back to the Future. - Joshua T. Vogelstein; Timothy D. Verstynen; Konrad P. Kording; Leyla Isik; John W. Krakauer; Ralph Etienne-Cummings; Elizabeth L. Ogburn; Carey E. Priebe; Randal C. Burns; Kwame S. Kutten; James J. Knierim; James B. Potash; et al. (CoRR, 2022)

Editorial: Machine Learning in Natural Complex Systems. - Axel Hutt; André Grüning; Alex Hansen; Thomas Hartung; Raina Robeva (Frontiers Appl. Math. Stat., 2022)

Prospective Learning: Principled Extrapolation to the Future. - Ashwin De Silva; Rahul Ramesh; Lyle H. Ungar; Marshall G. Hussain Shuler; Noah J. Cowan; Michael L. Platt; Chen Li; Leyla Isik; Seung-Eon Roh; Adam S. Charles; Archana Venkataraman; Brian Caffo; et al. (CoLLAs, 2023)

Artificial intelligence as the new frontier in chemical risk assessment. - Thomas Hartung (Frontiers Artif. Intell., 2023)

Editorial: Insights in AI: Medicine and public health 2022. - Thomas Hartung; Jun Deng; Raghvendra Mall; Alejandro F. Frangi; Frank Emmert-Streib; Tuan D. Pham (Frontiers Artif. Intell., 2023)

Brain organoids and organoid intelligence from ethical, legal, and social points of view. - Thomas Hartung; Itzy E. Morales Pantoja; Lena Smirnova (Frontiers Artif. Intell., 2023)

First Organoid Intelligence (OI) workshop to form an OI community. - Itzy E. Morales Pantoja; Lena Smirnova; Alysson R. Muotri; Karl J. Wahlin; Jeffrey Kahn; J. Lomax Boyd; David H. Gracias; Timothy D. Harris; Tzahi Cohen-Karni; Brian S. Caffo; Alexander S. Szalay; Fang Han; et al. (Frontiers Artif. Intell., 2023)

BioBricks.ai: A Versioned Data Registry for Life Sciences Data Assets. - Yifan Gao; Zakariyya Mughal; Jose A. Jaramillo-Villegas; Marie Corradi; Alexandre Borrel; Ben Lieberman; Suliman Sharif; John Shaffer; Karamarie Fecho; Ajay Chatrath; Alexandra Maertens; Marc A. T. Teunis; et al. (CoRR, 2024)

Navigating the unseen peril: safeguarding medical imaging in the age of AI. - Alexandra Maertens; Steve Brykman; Thomas Hartung; Andrei Gafita; Harrison Bai; David Hoelzer; Ed Skoudis; Channing J. Paller (Frontiers Artif. Intell., 2024)

Is regulatory science ready for artificial intelligence? - Thomas Hartung; Maurice P. Whelan; Weida Tong; Robert M. Califf (npj Digit. Medicine, 2025)