Danilo Bzdok, Andrew Thieme, Oleksiy Levkovskyy, Paul Wren, Thomas Ray, Siva Reddy. Data science opportunities of large language models for neuroscience and biomedicine. Neuron. 2024. doi:10.1016/j.neuron.2024.01.016
Madura KP Jayatunga, Margaret Ayers, Lotte Bruens, Dhruv Jayanth, Christoph Meier. How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons. Drug Discovery Today. 2024;29(6):104009. doi:10.1016/j.drudis.2024.104009
Nicole Kleinstreuer, Thomas Hartung. Artificial intelligence (AI)-it’s the end of the tox as we know it (and I feel fine). Archives of Toxicology. 2024. doi:10.1007/s00204-023-03666-2
Alexandra Maertens, Thomas Luechtefeld, Jean Knight, Thomas Hartung. Alternative methods go green! Green toxicology as a sustainable approach for assessing chemical safety and designing safer chemicals. ALTEX. 2024;41(1):3-19. doi:10.14573/altex.2312291
Thomas Hartung. ToxAIcology - The evolving role of artificial intelligence in advancing toxicology and modernizing regulatory science. ALTEX. 2023;40(4):559-570. doi:10.14573/altex.2309191
Pauric Bannigan, Zeqing Bao, Riley J. Hickman, et al. Machine learning models to accelerate the design of polymeric long-acting injectables. Nature Communications. 2023;14(1):35. doi:10.1038/s41467-022-35343-w
Rizwan Qureshi, Muhammad Irfan, Taimoor Muzaffar Gondal, et al. AI in drug discovery and its clinical relevance. Heliyon. 2023;9(7). doi:10.1016/j.heliyon.2023.e17575
Thomas Hartung. Artificial intelligence as the new frontier in chemical risk assessment. Frontiers in Artificial Intelligence. 2023;6:1269932. doi:10.3389/frai.2023.1269932