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Reports often mention reduced muscle tightness, less joint discomfort after high-volume days, and an overall quicker bounce-back between sessions

CrossRef Patient safety and quality implications of large language model use in healthcare: a risk-stratified assessment of artificial intelligence-assisted medical consultations Pouyan Esmaeilzadeh International Journal for Quality in Health Care .2026;[Epub] CrossRef ChatGPT-4o assists emergency physicians in enhancing diagnostic accuracy for fever of unknown origin: retrospective analysis Hui Long, Guoqing Huang, Xinbo Yin, Xiaojie Zheng, Sijia Cao, Nan Wang, Xiangmin Li, Xiaokai Wang BMC Emergency Medicine .2026;[Epub] CrossRef Attitudes toward large language model-based Artificial Intelligence systems as an information source for shared decision-making in radiation oncology Rebecca Moser, Lena M Buchecker, Jana Nano, Nina A Mayr, Sophie T Behzadi, Sophia Kiesl, Sophie Maier, Luisa Allwohn, Jacqueline Lammert, Lisa C Adams, Max Tschochohei, Stephanie E Combs, Kai J Borm The Oncologist .2026;[Epub] CrossRef Evaluating the clinical utility of large language models for hepatocellular carcinoma treatment recommendations: A nationwide retrospective registry study Keungmo Yang, Jaejun Lee, Jeong Won Jang, Pil Soo Sung, Ji Won Han, Amit Singal PLOS Medicine .2026

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After the recovery of cellular redox homeostasis, KEAP1 translocates into the nucleus through Karyopherin 6 (importin 7), inducing NRF2 nuclear export to the cytosol, in a CRM1-dependent process through Nuclear Export Signal (NES) sequences present in NRF2

Initial evidence for this was obtained by Bitterman et al., who demonstrated that NAM could inhibit yeast Sir2 and human SIRT1 noncompetitively in vitro [61]