Clinical cancer diagnostics require ML that maintains accuracy under biological variability with interpretable feature attribution─a particular challenge for serum-based approaches where healthy and diseased samples share >95% chemical composition. C... read more
With the continuous development of the global economy, environmental pollution has emerged as a significant challenge impeding sustainable economic development. Consequently, the advancement of highly sensitive pollutant detection technologies plays ... read more
Immunotherapy has revolutionized hepatocellular carcinoma (HCC) management, necessitating personalized strategies in current guidelines. Despite curative intent for early-stage HCC, recurrence rates remain high. While antiviral therapy mitigates risk... read more
Spinal cord injury (SCI) refers to trauma to the spinal cord resulting in functional deficits. Dysregulation of the phosphoinositide 3-kinase/serine-threonine kinase (PI3K/AKT) pathway significantly contributes to the pathogenesis of SCI. This study ... read more
BACKGROUND: Normative gait data are essential for research, identifying abnormalities and guiding diagnosis. However, a systematic overview of normative gait data and their characteristics, independent of measurement systems and parameter types, is c... read more
Tailoring catalysts to diverse environmental conditions for wastewater treatment demands rational material design, yet such decisions remain largely empirical due to fragmented literature knowledge. Here we establish an LLM-powered framework designed... read more
Clinical chemistry and laboratory medicine
Apr 20, 2026
OBJECTIVES: Large language models (LLMs) show promise for interpreting laboratory reports, yet real-world validation remains limited. This study evaluated five advanced LLMs in interpreting urinalysis reports for kidney diseases using real-world clin... read more
A global increase in freshwater scarcity coupled with a heterogeneous distribution of water treatment infrastructure highlights an urgent need for decentralized, low-energy water treatment solutions, particularly in remote off-grid regions. Here, a r... read more
Evidence-based medicine (EBM) integrates clinical expertise, patient values, and best available research evidence, yet classical trial-based approaches struggle to accommodate the scale, heterogeneity, and structural constraints of contemporary healt... read more
With the rapid development of technology in the Industry 4.0 era, computer vision and deep learning have emerged as key technologies supporting industrial systems such as classification and quality inspection with high accuracy, optimizing processes ... read more
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