Guangying Wang

Abstract Schizophrenia (SCZ) and bipolar disorder (BD) are severe psychotic disorders with overlapping clinical manifestations, leading to high rates of misdiagnosis. This study aims to identify disorder-specific neurophysiological biomarkers using electroencephalography and contrastive machine learning to improve differential diagnosis. Resting-state electroencephalography was recorded from 52 patients with BD, 65 with SCZ, and 75 healthy controls.

Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. References 1, , , and , “The Emergence and Prospects of Deep-Ultraviolet Light-Emitting Diode Technologies,” Nature Photonics 13, no. 4 (2019): 233–244. 2, , , et al., “The 2020 UV Emitter Roadmap,” Journal of Physics D: Applied Physics 53, no. 50 (2020): 503001.

Review Article Electrocardiographic changes in immune checkpoint inhibitor-associated cardiac injury: a narrative review Shaqi Rao, Guangying Wang, Jinjing Wu, Jiawei Ouyang, Zhuoqi Liu, Xiaohong Yang, Daya Luo, Shuhua Zhang Abstract Immune checkpoint inhibitors (ICIs) are widely used in cancer treatment and have shown substantial clinical benefit. Although the incidence of ICI-associated cardiac injury is uncommon, such events may lead to severe complications and high mortality.