Critical reviews in food science and nutrition
Apr 10, 2026
Serum-free media (SFM) determine whether cultivated meat (CM) can progress from pilot studies to scalable, food-grade manufacturing. Replacing fetal bovine serum (FBS) requires food-grade media that supply nutrients, maintain ionic balance, provide d... read more
BACKGROUND: Visual identification and verification of medications during dispensing and administration are prone to human error, particularly in high-pressure and high-volume clinical settings. Misidentification can lead to medication errors, posing ... read more
As a theoretical method for solving complex real-life problems, group decision-making (GDM), along with the rapid development of artificial intelligence technology, has led to intricate and complex decision-making situations. This has contributed to ... read more
IEEE journal of biomedical and health informatics
Apr 10, 2026
Diabetic Retinopathy (DR) is a leading cause of permanent blindness due to the difficulty of early screening. In this context, deep-learning-based automatic DR grading has the potential to significantly improve the diagnostic efficiency of ophthalmol... read more
Osteoarthritis (OA) causes joint pain, functional impairment, and significantly impacts patients' quality of life. Recent advancements in artificial intelligence (AI) technology have provided new opportunities for OA diagnosis, treatment, and managem... read more
In materials science, performing a synchronous correlative analysis of multiphysics fields at the nanoscale is critical for advancements in material characterization. Atomic force microscopy (AFM) is a fundamental technique for nanoscale characteriza... read more
In the process of intelligentization in modern manufacturing, especially in industrial fields such as automobile manufacturing, semiconductor production, and electronic product assembly, product quality control is crucial. Traditional defect detectio... read more
The integration of Internet of Things (IoT) devices and electronic medical records (EMRs) has transformed healthcare delivery but has also created new vulnerabilities to cyberattacks that threaten both data confidentiality and patient safety. Convent... read more
OBJECTIVE: To explore the utility of natural language processing (NLP) and machine learning (ML) techniques to identify unsafe conditions leading to cardiovascular diagnostic errors using patient safety event (PSE) reports data. METHODS: PSE reports ... read more
BACKGROUND: Helicobacter pylori (H. pylori) infection and atrial fibrillation(AF) are major global health concerns. Emerging evidence has suggested a potentially chronic inflammation-mediated link between them, but the shared genetic mechanisms remai... read more
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