Lung cancer is the leading cause of cancer-related deaths globally. Non-small cell lung cancer (NSCLC) accounts for approximately 85% of all lung cancer cases, and drug resistance severely undermines treatment efficacy. This review summarizes recent ... read more
Abnormal birth weight, including macrosomia and low birth weight, constitutes a significant global health burden associated with both immediate neonatal risks and long-term metabolic complications. However, accurate prediction remains challenging due... read more
Transactions of the Royal Society of Tropical Medicine and Hygiene
Feb 2, 2026
BACKGROUND: Transgender women (TGW) and men who have sex with men (MSM) are disproportionately affected by human immunodeficiency virus (HIV) and mental health challenges. Mental well-being influences uptake and adherence to HIV prevention and treatm... read more
Objective.Wearable devices with embedded photoplethysmography (PPG) enable continuous non-invasive monitoring of cardiac activity, offering a promising strategy to reduce the global burden of cardiovascular diseases. However, monitoring during daily ... read more
This research letter summarizes early lessons from 4 enterprise implementations of artificial intelligence-enabled customer relationship management platforms in health care and describes governance practices associated with improvements in affordabil... read more
UNLABELLED: Cure rates for childhood malignancies using established therapy protocols have increased to an average of 80% but have reached a plateau. Moreover, survival rates are particularly low for some pediatric tumors-such as high-risk group 3 me... read more
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Feb 2, 2026
Artificial intelligence-generated content (AIGC) has shown remarkable performance in nuclear medicine imaging (NMI), offering cost-effective software solutions for tasks such as image enhancement, motion correction, and attenuation correction. Howeve... read more
MLMarker is a machine learning tool that computes continuous tissue similarity scores for proteomics data, addressing the challenge of interpreting complex or sparse datasets. Trained on 34 healthy tissues, its Random Forest model generates probabili... read more
Drug discovery is impeded by the difficulty of translating targets from preclinical models to patients. Here, we present TwinCell, a Large Causal Cell Model (LCCM) capable of generalising from in vitro cell lines to patient-derived cell types while p... read more
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