Latest AI and machine learning research in primary care for healthcare professionals.
AIMS: Obesity is associated with functional alterations in the brain. Although spatial organisation changes in the brains of individuals with obesity have been widely studied, the temporal dynamics in their brains remain poorly understood. Therefore, in this study, we investigated variations in the intrinsic neural timescale (INT) across different degrees of obesity using resting-state functional ...
The historical development of artificial intelligence (AI) in healthcare since the 1960s shows a transformation from simple rule-based systems to complex, data-driven approaches. Early applications focused on decision support, while innovative systems use neural networks and machine learning to recognise patterns in large datasets. The integration of AI technologies in medicine has given rise to d...
BACKGROUND: Colorectal cancer (CRC) screening rates remain disproportionately low among Hispanic and Latino populations compared to non-Hispanic White...
BACKGROUND: Suicide in local jails occurs at a higher rate than in the general population, requiring improvements to risk screening methods. Current s...
Given its crucial role in determining patient symptoms and outcomes in various cardiopulmonary diseases, the thorough and accurate assessment of right...
UNLABELLED: The global rise in diabetes mellitus (DM) poses a significant health challenge, necessitating effective therapeutic interventions. α-Gluco...
Within the healthcare sector, the application of machine learning is gaining prominence, notably enhancing the efficiency and precision of diagnostic ...
Hypoglycemia is a major challenge for people with diabetes. Therefore, glycemic monitoring is an important aspect of diabetes management. However, cur...
Precise forecasting of cancer outcomes is essential for medical professionals to assess the well-being of patients and develop customized therapeutic ...
BACKGROUND: Cardiovascular diseases (CVD) remain a major global health burden. Obesity and type 2 diabetes mellitus (T2DM) are key modifiable risk fac...
Early detection through screening is critical for reducing gastric cancer (GC) mortality. However, in most high-prevalence regions, large-scale screen...
Synonymous mutations are generally considered neutral, while their roles in the human genome remain largely unexplored. Here we use the PEmax system t...
Osteoporosis is widespread with a high incidence rate, resulting in fragility fractures which are a major contributor to mortality among the elderly. ...
This study assessed the acceptability of CITOBOT, a device for early cervical cancer screening in a real-world pilot setting as part of a translationa...
: Early identification and timely preventive interventions play an essential role for improving the prognosis of newborns with necrotizing enterocolit...
BACKGROUNDObesity, a growing health concern, often leads to metabolic disturbances, systemic inflammation, and vascular dysfunction. Emerging evidence...
Protein tyrosine phosphatase 1B (PTP1B) is a key negative regulator of insulin signaling and a promising therapeutic target for the treatment of type ...
Interleukin-23 (IL-23) is a key driver of chronic inflammatory diseases, yet current therapies rely on costly monoclonal antibodies. This study aims t...
The human gut carries a vast and diverse microbial community that is essential for human health. Understanding the structure of this complex community...
BACKGROUND: Diabetes is a metabolic disease that can lead to severe cardiovascular diseases and neuropathy. The associated medical costs and complicat...