Latest AI and machine learning research in kidney transplantation for healthcare professionals.
Effective monitoring of CO2 leaks from carbon capture and storage (CCS) sites is vital to mitigate environmental risks, including soil acidification and ecosystem disruption. This study presents a novel, sustainable biosensor based on betanin from Beta vulgaris (beetroot) extract for pH-responsive colorimetric detection of soil CO2 leakage, coupled with smartphone imaging for quantitative analysis...
Early-onset colorectal cancer (EOCRC), diagnosed in patients under 50, is particularly aggressive, yet lacks targeted therapeutic strategies. This study aimed to explore the role of cellular senescence in driving EOCRC's malignancy and developed a senescence scoring system (EO-Senscore) to guide precision oncology. Through a multi-omics analysis of 2961 patients, we discovered that cellular senesc...
Acylation modification plays a crucial role in modulating head and neck squamous cell carcinoma (HNSCC) progression, and their specific prognostic imp...
Cervical cancer (CC) is still a major gynecological tumor among women globally. The heterogeneity landscape and prognostic value of metabolic reprogra...
OBJECTIVE: The rapid development of artificial intelligence (AI) presents an opportunity to streamline the peer-review process and provide key informa...
BACKGROUND: Predictive modeling has the potential to improve preoperative planning and resource allocation in lumbar fusion surgery. This study aimed ...
The mechanisms underlying lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) remain elusive. This study integrated single-cell RNA seque...
Pancreatic cancer, particularly ductal adenocarcinoma (PDAC) is one of the most aggressive and lethal subtypes due to late diagnosis, the absence of e...
Immune checkpoint inhibitors have partially improved treatment outcomes for patients with head and neck squamous cell carcinoma (HNSCC), but the respo...
Organ transplantation is a life-saving medical intervention to reverse end-stage organ failure. Despite its life-saving potential, organ transplantati...
Lung cancer's metastatic propensity and recurrence prevalence necessitate innovative immunotherapy strategies beyond conventional single-mode regulati...
Artificial intelligence (AI) has the potential to significantly improve the practice of medicine. However, its application in pediatric critical care ...
Glioblastoma (GBM), a highly vascularized and aggressive primary brain tumor, presents unresolved questions regarding the functional significance of a...
Psoriatic arthritis (PsA) is a chronic inflammatory disease characterised by unpredictable flare-ups that are difficult to forecast, particularly in p...
Lung adenocarcinoma (LUAD) is the most common histological type of lung cancer, characterized by high mortality, recurrence, and metastasis. Despite a...
OBJECTIVE: Fenestrated-branched endovascular aortic repair (F-BEVAR) is a complex procedure that requires significant experience and advanced technica...
Mnemonic discrimination of visual objects entails differentiating among repetitions of target objects, unstudied foil objects, and, critically, lure o...
Chronic kidney disease (CKD) represents a major and expanding global health challenge, with prevalence rising due to aging populations, diabetes, hype...
Artificial intelligence (AI) is rapidly transforming the delivery of kidney care through predictive analytics, machine learning, deep learning, and ge...
As an endocrine-disrupting chemical, 4-nonylphenol (4-NP) has been found above safe limits in global water systems and associated with cancer progress...