Average susceptibility decreases over exposure events in a heterogeneous population. by Beth M. Tuschhoff (19251419)

Type and grade of irAEs in AI (+) cases. by Hidetoshi Sumimoto (19146207)

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Drivers of attitudes about uses of AI. by Michael C. Horowitz (5883152)

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AI DEP-EI-mass spectrum compared with predicted peaks. by Dominic N. McBrayer (6615761)

The evaluation of severity and in-hospital mortality in patients with acute ischemic stroke using novel glucose-related blood biomarkers. by Peerapong Kamjai (14185451)

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Type of irAEs and the grades in all cases. by Hidetoshi Sumimoto (19146207)

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Increasing the Scale of the Mass Spectrometry Query Language Compendium with Explainable AI by Thomas V. Harwood (22117921)

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Distribution of participants’ comfort with the general widespread use of AI. by Izegbua E. Ihongbe (19825859)

AI and Knowledge-Based Method for Rational Design of <i>Escherichia coli</i> Sigma70 Promoters by Kangjie Xu (17736430)

“…The features of these strong promoters were adopted to guide promoter design based on our previous reported deep learning model. In the following case study, the obtained strong promoters were used to express collagen and microbial transglutaminase (mTG), resulting in increased expression levels by 81.4% and 33.4%, respectively. …”

Comparison of novel glucose-related blood biomarkers in patients with acute ischemic stroke categorized by mild and severe cases. by Peerapong Kamjai (14185451)

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Examples of incorrect prediction made by our AI-based diagnosis model based on ResNet-50, with (k = 50)% training data for all data (Task 1(a)). by Rie R. Yotsu (16378272)

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Forest plot of the association between potential risk factors and ICI discontinuation due to irAE. by Hidetoshi Sumimoto (19146207)

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Flow chart of patient selection. by Hidetoshi Sumimoto (19146207)

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Forest plot of the association between potential risk factors and immune-related adverse events. by Hidetoshi Sumimoto (19146207)

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Subgroup analyses of the impact of trimethylamine-N-oxide (TMAO) plasma levels on the risk of AIS. by Yuan Hong (413401)

Patient characteristics comparing the spring and autumn period, ECMO = extracorporeal membrane oxygenation. by Christian Karagiannidis (64152)

Fig 1 - by Christian Karagiannidis (64152)

Levels of support for AI adoption for local officials. by Michael C. Horowitz (5883152)

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Task 1(a): Diagnostic accuracy of the two network models using all cases (total images = 1,709), with different percentages of images for training. by Rie R. Yotsu (16378272)

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<i>IR52a</i>^<i>+</i> neurons synapse with sexually dimorphic second-order neurons. by Zhe He (508742)