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Showing 5 of 65 academic articles

Machine-learning reprogrammable metasurface imager

Lianlin Li, Hengxin Ruan, Che Liu, Ying Li et al. • Nature Communications (2019)

Conventional microwave imagers usually require either time-consuming data acquisition, or complicated reconstruction algorithms for data post-processing, making them largely ineffective for complex in-situ sensing and monitoring. Here, we e...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41467-019-09103-2 PMC: 6403242

Integrating task-state electroencephalography and motor function for intelligent assessment of recovery status from prolonged disorders of consciousness

Longhao Zhang, Hongzhen Cui, Xiaoyue Zhu, Guilong Zhang et al. • BMC Neurology (2026)

Abstract Background Accurately assessing recovery in patients with prolonged disorders of consciousness (PDoC) is essential for evaluating the therapeutic efficacy and optimizing clinical care. However, substantial individual variability an...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12883-026-05183-y

Artificial intelligence: A powerful paradigm for scientific research

Yongjun Xu, Xin Liu, Xin Cao, Changping Huang et al. • The Innovation (2021)

Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day li...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.xinn.2021.100179 PMC: 8633405

Artificial intelligence in pancreatic cancer

Bowen Huang, Haoran Huang, Shuting Zhang, Dingyue Zhang et al. • Theranostics (2022)

Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%. The pancreatic cancer patients diagnosed with early screening have a median overall survival of nearly ten years, compared with 1.5 years for th...

OPENALEX cc-by DOI: https://doi.org/10.7150/thno.77949 PMC: 9576619