Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Feb 23, 2026
The precision and effectiveness of nano-diagnostic platforms rely on the deliberate design of advanced nanomaterials, aiming to address the clinical challenge, such as sensitive diagnosis of infectious chorioamnionitis-associated fever (CAM) versus n... read more
Surrogate markers are most commonly studied within the context of randomized clinical trials. However, the need for alternative outcomes also extends to real-world public health and social science research, where randomized trials are often impractic... read more
Chemistry (Weinheim an der Bergstrasse, Germany)
Feb 23, 2026
Solid direct air capture (S-DAC) technologies have the potential to remove pre-existing CO2 from the atmosphere by taking advantage of hydrophobic materials that will retain CO2 through physisorption and separating it from the abundant water molecule... read more
BACKGROUND: Quantum machine learning (QML) is an emerging field that may offer unique advantages over classical machine learning but has not been extensively studied with real-world healthcare data of practical size. This study evaluates the performa... read more
Forest carbon offsets are pivotal to the global climate strategy, yet their claimed benefits are often undermined by flawed baselines, compromising their environmental integrity. Here, we assess five Improved Forest Management projects in China by co... read more
The growing demand for compact and energy-efficient hardware in artificial intelligence and edge computing calls for multifunctional electronic systems beyond conventional architectures. van der Waals (vdW) ferroelectric semiconductors, which couple ... read more
OBJECTIVE: To evaluate radiologists' opinions on the clinical applications of artificial intelligence (AI), especially AI-based computer-aided detection (CAD), in breast imaging. METHODS: An IRB-exempt anonymous survey was distributed to Society of B... read more
International journal of surgery (London, England)
Feb 23, 2026
BACKGROUND: Current molecular classification model for thyroid cancer (TC), which relies on BRAF-RAS score genes has limited efficacy in differentiating follicular-patterned tumors from normal thyroid (NT) tissues and lack predictive power for diseas... read more
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