“Full factorial design of experiments dataset for parallel-connected lithium-ion cells imbalanced performance investigation” by Gabriele Piombo, Simone Fasolato, Robert Heymer, Marc F. Hidalgo, Mona Faraji Niri, Davide M. Raimondo, James Marco, Simona Onori

“…Additionally, the dataset contains cell characterization data for every cell (i.e. NCA Samsung INR21700-50E and NMC LG-Chem INR21700-M50T) used in the module-level experiments. …”
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Machine learning on longitudinal multi-modal data enables the understanding and prognosis of Alzheimer’s disease progression by Suixia Zhang, Jing Yuan, Yu Sun, Fei Wu, Ziyue Liu, Feifei Zhai, Yaoyun Zhang, Judith Somekh, Mor Peleg, Yi-Cheng Zhu, Zhengxing Huang

“…Ten biologically and clinically meaningful disease-related states were identified from data, which constitute three non-overlapping stages (i.e., neocortical atrophy [NCA], medial temporal atrophy [MTA], and whole brain atrophy [WBA]) and two distinct disease progression patterns (i.e., NCA → WBA and MTA → WBA). The index of disease-related states provided a remarkable performance in predicting the time to conversion to AD dementia (C-Index: 0.923 ± 0.007). …”
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