As a novel,label-free and non-invasive detection modality,terahertz(THz,1THz=1012 Hz)spectroscopy has been widely used in various areas.For instance,in the biomedical field,it has great potentials to provide real-time scanning of living cells and tissues due to its unique advantages.Significant achievements have been reached in cell detection, related to bacterial identification, cancer cell characterization and blood cell detection.In tissue detection, the THz spectroscopy can be used to provide real-time scanning of living tissues and fast diagnosis.Furthermore, a single system which integrated THz spectroscopy and THz imaging would be able to collect information more sensitive and comprehensive. However,the clinical adaption of THz spectroscopy is still a controversial issue attributed to some intrinsic limitations and technical bottlenecks.In this article, both the application of THz spectroscopy in cell and tissue detection and the existing challenges and strategies to accelerate clinical applications were reviewed comprehensively.

With the rapid development of instrument technology , Raman spectrometer has become one of the fastest growing type of instrument in the molecular spectroscopy . In recent years , Raman spectrometer gradually emerging in the application in the domain of biology and medicine , Raman spectroscopy technology appears new development constantly in the rapid identification and classification of microorganisms because of its rapid , efficient, sensitive, noninvasive, repeatability and other unique advantages.This article describes its application in the rapid detection of bacteria , viruses and other microorganisms , and also prospects for the application of Raman spectroscopy in future clinical work .

Parkinson disease （PD） is a common neurodegenerative disease. Cognitive dysfunction seriously affects the quality of life of patients with PD， increasing their family burden. Currently， there are no clinically identified biomarkers to assist with the early diagnosis of cognitive impairment in patients with PD. Event-related potential P300 is a sensitive electrophysiological indicator to detect early insidious cognitive decline in PD. This article reviews the diagnostic value and clinical application of P300 for cognitive impairment in patients with PD.

Objective To analyze the cognitive function and sleep quality of the elderly in Shanghai community, and explore the related influencing factors. Methods A stratified cluster random sampling method was used to select 8 community health centers in Shanghai for a questionnaire survey, including 3 677 elderly individuals who completed the “Comprehensive Health Status Survey of Elderly Residents in Shanghai” from September 2023 to November 2023. Basic information of the elderly was collected, including age, gender, education level, smoking, drinking, mahjong playing behavior, and exercise habits. The Pittsburgh sleep quality index (PSQI) was used to assess the sleep quality of the elderly, subjective cognitive decline (SCD) self-assessment questionnaire and Mini-Mental State Examination (MMSE) were used to evaluate cognitive function, while the Hamilton Anxiety Scale (HAMA) and patient health questionnaire-9 (PHQ-9) were used to assess anxiety and depression levels, and the mini nutritional assessment (MNA) was used to evaluate nutritional status. According to the MMSE scores, the elderly were divided into three groups: no cognitive impairment (MMSE ≥ 27), mild cognitive impairment (MMSE 21-26), and moderate to severe cognitive impairment (MMSE ≤ 20). The general data, lifestyle habits, and scale scores of the three groups were compared. Ordered logistic regression was used to analyze the influencing factors of sleep quality. Results There were statistically significant differences in age, gender, waist circumference, body mass index (BMI), education level, pet ownership, smoking, drinking, mahjong playing behavior, exercise habits, and scale scores among the three groups (P＜0.05). Logistic regression analysis showed that age, waist circumference, gender, drinking habits, mahjong playing behavior, and chronic comorbidities are influencing factors for the PSQI grading in the elderly (P＜0.05). The MMSE score (OR＝1.037, P＝0.001), SCD score (OR＝1.123, P＜0.001), HAMA score (OR＝1.183, P＜0.001), PHQ-9 score (OR＝1.249, P＜0.001) are positive influencing factors for PSQI grading, while the MNA score is a negative influencing factor (OR＝0.960, P＝0.037). Conclusions Advanced age, female gender, low education level, no pet ownership, no mahjong playing behavior, no exercise habits, and poor sleep quality are risk factors for cognitive impairment in the elderly. Advanced age, female gender, no mahjong playing behavior and poor nutritional status are influencing factors for poor sleep quality in the elderly, and severe comorbidities, anxiety, depression, and subjective decline in cognitive function all affect sleep quality.