Latest AI and machine learning research in alternative medicine for healthcare professionals.
Surface-enhanced Raman scattering (SERS) has emerged as a powerful analytical technique for biosensing owing to its ultrahigh sensitivity and molecular fingerprinting capability. However, the practical deployment of single-modality SERS is often hindered by signal fluctuations, matrix interference, and limited quantitative robustness in complex biological environments. To address these intrinsic l...
OBJECTIVE: Antiphospholipid syndrome (APS) is a thromboinflammatory disorder characterized by clinical and mechanistic heterogeneity that complicates early diagnosis and hinders targeted treatment. We aimed to identify distinct molecular endotypes among antiphospholipid antibody (aPL)-positive patients using whole-blood transcriptomics. METHODS: Whole-blood RNA sequencing was performed on 174 aPL-...
BACKGROUND: Abdominal aortic aneurysm (AAA) and major depressive disorder (MDD) are prevalent conditions with substantial global health burdens. Growi...
Oculomics uses the eye to gain insights into systemic health. Although initially focused on retinal imaging, oculomics now studies various ocular sign...
Fluorescence-guided surgery (FgS) is increasingly used across oncologic specialties to enhance intraoperative visualisation of tumour tissue and lymph...
Immigrants face a unique challenge in translating their home country human capital to secure employment in their host country's labor market, potentia...
Automated insect identification systems hold significant value for biodiversity monitoring, pest management, citizen science initiatives and systemati...
BACKGROUND: Male factor infertility accounts for nearly half of infertility cases worldwide, yet modifiable lifestyle-related risk factors remain insu...
Benzo[a]pyrene (BaP), a ubiquitous environmental carcinogen predominantly found in tobacco smoke and air pollution, plays a pivotal role in head and n...
Multi-view graph clustering, a fundamental task in data mining and machine learning, aims to partition nodes into disjoint groups by leveraging comple...
Since the beginning of this century, the emergence of systems biology, driven by technological, informatic, and theoretical advances, has led to an un...
Diethyl phthalate (DEP) is a ubiquitous environmental endocrine-disrupting chemical (EDC). Epidemiological studies have suggested a potential associat...
This research aims to identify novel molecular targets and generate mechanistic hypotheses for Danlou Tablet (DLT) in the treatment of atherosclerosis...
The tumor immune microenvironment and intratumoral microbiota play critical roles in cancer progression and immunotherapy response, yet their integrat...
BACKGROUND: Generative artificial intelligence (GAI) has emerged as a transformative tool in health care, particularly with the integration of large l...
Acupuncture, a cornerstone of traditional Chinese medicine (TCM), faces challenges in standardization and precision, as its efficacy heavily relies on...
Electrocardiography is a cornerstone in the diagnosis of cardiovascular diseases; however, accurate interpretation demands expert knowledge and is oft...
BACKGROUND: Oxaliplatin resistance significantly impairs therapeutic outcomes in colorectal cancer. However, reliable diagnostic markers for early det...
Over the last two decades, advancements in sequencing technology and data science have significantly deepened the study of transcriptomics, especially...
Urban flood has become an increasingly frequent and severe hazard under intensified climate change and rapid urbanization, yet real-time prediction re...