Artificial Intelligence Medical Compendium

Over the past decade, protein design has drawn considerable attention and emerged as a promising tool for sustainable and efficient biocatalytic processes, driven by breakthroughs in DNA sequencing, gene synthesis, bioinformatics, and artificial inte... read more 

Natural enzymes and nanozymes represent complementary paradigms for catalytic biosensing: the former provides evolutionarily refined molecular recognition and exceptional catalytic efficiency, while the latter offers tunable, robust, and manufacturab... read more 

As an emerging environmental pollutant, the potential toxic effects of microplastics have become a topic of global concern. To address the issues with traditional detection methods- such as cumbersome operations, time-consuming processes, and relianc... read more 

BACKGROUND AND PURPOSE: Functional neurological disorder (FND) is increasingly recognized as a disorder of brain network dysfunction with neuroimaging studies demonstrating altered communication among neural circuits involved in movement, attention, ... read more 

BACKGROUND: Patients with cancer on palliative treatment often have dynamic and multidimensional symptoms like pain, fatigue, anorexia, cognitive changes, and emotional distress that significantly impact functional capacity and quality of life. Tradi... read more 

Solvent optimization in organic solar cells (OSCs) remains largely empirical, requiring repeated device fabrication and characterization across a broad formulation space. Here, we introduce a high-throughput workflow to decipher a figure of merit (Fo... read more 

BACKGROUND: Poor performance during difficult conversations is associated with decreased patient satisfaction and increased clinician burnout. Communication skills can be taught using simulated patients (SPs), but this approach is resource intensive.... read more 

BACKGROUND AND OBJECTIVES: Deep learning-based systems have shown promise in automating white blood cell (WBC) classification; however, most validations are limited to single institutions. This study aimed to evaluate the multicenter performance and ... read more 

Local composition theory postulates that the immediate molecular environment of a component differs from the bulk mixture composition. Classical local composition models describe this by using fixed algebraic expressions in the form of Boltzmann-like... read more 

Carbon dioxide (CO2) electroreduction is a promising route for carbon recycling and energy regeneration, with the development of dual-atom catalysts (DACs) being critical to its advancement. Conventional density functional theory (DFT) calculations a... read more