Current medical education is caught in a paradox: it aims to train compassionate patient advocates yet its structure often fosters compliance and burnout, ill-equipping physicians to challenge the systemic drivers of poor health. The rapid integratio... read more
Proceedings of the National Academy of Sciences of the United States of America
Apr 10, 2026
Probabilistic models such as the sequentially Markovian coalescent have long provided a powerful framework for population genetic inference, enabling reconstruction of demographic history and ancestral relationships from genomic data. However, these ... read more
BACKGROUND: The recombinant production of Pseudomonas aeruginosa exotoxin A (ETA), a critical component for immunotoxin development, remains hindered by its complex disulfide bond architecture, cytotoxicity, and aggregation propensity. Despite recent... read more
Spiking Neural Networks (SNNs) offer a biologically plausible and energy-efficient alternative to traditional artificial neural networks (ANNs), yet their design remains constrained by limited architectural flexibility and slow training dynamics. In ... read more
Imbalances in the gut microbiome have been linked to conditions such as inflammatory bowel disease, diabetes, and cancer. While metagenomics and amplicon sequencing are commonly used to study the microbiome, they do not capture all layers of microbia... read more
Critical reviews in clinical laboratory sciences
Apr 10, 2026
Over a century since Louis Camille Maillard first described the reaction that bears his name, advanced glycation end products (AGEs) resulting from the advanced stage of the glycation reaction have been widely implicated in the onset and progression ... read more
Superionic ice, where water molecules dissociate into a lattice of oxygen ions and a rapidly diffusing "gas" of protons, represents a state of matter with broad implications for planetary interiors and energy applications. Recently, a nanoconfined su... read more
Harnessing light polarization provides a powerful degree of freedom for optical communications, imaging, and sensing. Two-dimensional (2D) anisotropic semiconductors have emerged as a promising platform for miniaturized on-chip polarimetry; however, ... read more
The past decades have seen the development of quantum machine learning, stemming from the intersection of quantum computing and machine learning. This field is particularly promising for the design of alternative quantum (or quantum inspired) computa... read more
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