Preventive Care

Advances in chromatography for biomacromolecules and bioparticles (2019-2024): Focus on materials and industrial applications.

Chromatographic technology is the core of downstream separation and purification of biological macromolecules and bioparticles. In recent years, with the emergence of new-generation biotherapeutic modalities such as gene therapy and nucleic acid drugs, chromatographic technology has been undergoing a profound transformation from a general-purpose platform to specialized and intelligent tools. This...

Multivariate feature analysis of early-stage laryngeal cancer serum components using surface-enhanced Raman spectroscopy.

Laryngeal cancer is a common head-and-neck malignant tumor with geographically variable incidence. Its lack of specific early clinical symptoms often causes missed diagnosis, leading to most cases being identified at intermediate/advanced stages and thus poor treatment efficacy and prognosis. Early, accurate screening for high-risk populations is therefore critical to improving survival. This stud...

Efficient self-supervised Barlow Twins from limited tissue slide cohorts for colonic pathology diagnostics.

Colorectal cancer (CRC) is one of the few cancers that have an established dysplasia-carcinoma sequence that benefits from screening. Everyone over 50...

Noninvasive diagnosis of colorectal adenoma: The emerging potential of blood-based biomarkers.

Colorectal cancer (CRC) is the third most commonly diagnosed cancer and the second leading cause of cancer-related death globally. Most CRCs arise fro...

Machine learning-assisted abstract screening on learning analytics: a step-by-step tutorial.

Systematic reviews are crucial for synthesizing evidence, but their manual processes, particularly abstract screening, are labor-intensive and prone t...

Artificial intelligence-supported polyp detection (CADe) at colonoscopy reduces the detection of high grade dysplasia and invasive cancer.

Immunotherapy in Triple-Negative Breast Cancer: From Molecular Mechanisms to Precision Medicine-Overcoming Resistance and Optimizing Clinical Outcomes.

Triple-negative breast cancer (TNBC) is the most violent type of breast cancer, in which estrogen receptors (ER), progesterone receptors (PR), and hum...

Multidimensional analysis of postoperative nursing challenges in oral cancer surgery: a retrospective study of 245 patients and proposal of the PROTECT mode.

PURPOSE: The quality of postoperative care for oral tumors critically influences patient prognosis and quality of life; however, current nursing syste...

Integrated Human Organic Pollutant Exposome and Metabolome Analysis Reveals Biomarkers and Health Risks from Electronic Waste Exposure.

Escalating global electronic waste (e-waste) generation contrasts with <20% formal recycling rates. Policy gaps and inadequate enforcement exacerbate ...

Co-Designed Mental Health Screening App (Here for You) for University Students: Pilot Feasibility Mixed Methods Study.

BACKGROUND: Mental health disorders are a growing public health concern among university students globally and in India, exacerbated by stigma and lim...

Prediction of COVID-19 hospitalisation, ICU admission or death following ChAdOx1 vaccination using artificial intelligence: A clinical predictive model from the English RAVEN study.

OBJECTIVES: This study identifies predictors of severe COVID-19 following completion of two-dose primary series of the AZD1222 COVID-19 vaccine, emplo...

Exploring an Intermediate Colorectal Cancer Screening Test Based on Stool Proteomics and Machine Learning for Optimizing the Selection of Patients for Colonoscopy Identified from FIT.

The fecal immunochemical test (FIT) for detecting fecal occult blood, used alone or in combination with other stool biomarkers, has been demonstrated ...

Non-invasive screening for ovarian cancer by combining serum SERS with interpretable machine learning models.

Early identification of malignant ovarian tumors is critical for informing treatment decisions and enhancing patients' quality of life. As the third m...

AI-driven CRISPR screening: optimizing gene editing through automation and intelligent decision support.

BACKGROUND: CRISPR-based genetic screening has become a central methodology in functional genomics, enabling systematic interrogation of gene function...

Fusing data from CT deep learning, CT radiomics and peripheral blood immune profiles to diagnose lung cancer in a cohort of patients experiencing symptoms.

BACKGROUND: Lung cancer is the leading cause of cancer-related deaths. Diagnosis at late stages is common due to the largely non-specific nature of pr...

Active surveillance methods to identify adverse events of special interest (AESIs) following vaccination against pandemic diseases: A scoping review.

INTRODUCTION: Active post-vaccination surveillance is vital for ensuring vaccine safety, particularly in monitoring Adverse Events of Special Interest...

Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects.

Cancer immunotherapy is increasingly moving toward personalized, precision-based strategies, with cancer vaccines emerging as a promising approach to ...

Screening for Clinically Significant Nephrolithiasis Based on Simple Health Checkup Clinical and Urine Parameters in General Populations: Multicenter Machine Learning Study.

BACKGROUND: Nephrolithiasis affects approximately 15% of the population and often remains undetected in asymptomatic individuals. Current diagnostic a...

Securing Federated Learning With Blockchain in the Medical Field: Systematic Literature Review.

BACKGROUND: The exponential growth of medical data and advancements in artificial intelligence (AI) have accelerated the development of data-driven he...

Finding the forest in the trees: Using machine learning and online cognitive and perceptual measures to predict adult autism diagnosis.

Traditional subjective measures are limited in the insight they provide into underlying behavioral differences associated with autism and, accordingly...