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Integrating the diagnostic and therapeutic functions of drugs poses challenges due to specific structural design requirements. However, the trial-and-error dilemma in performance-driven structural evolution of nanomaterials is unsatisfactory. Here, we propose a strategy using graphene quantum dots with sp²-sp³ hybridized carbon frameworks for visualized, intelligent targeted clearance of metabolically reprogrammed senescent cells. We establish a structure-activity relationship between the...

Anode-free lithium metal batteries (AFLMBs), which are manufactured without anode active material, offer great potential for high-energy-density, low-cost energy storage. However, AFLMBs face a long-standing challenge of short lifespan due to the harsh conditions of lacking excess Li-resource and an anode host^(1-8). This issue is associated with uneven Li deposition/dissolution, rooted in the micro-heterogeneity and mechanical fragility of solid electrolyte interphase (SEI)⁹. Here we report a...

Modern biology increasingly relies on complex, high-dimensional datasets such as single-cell RNA sequencing (scRNA-seq), which present a vast space of potential hypotheses. Systematically exploring this space is often impractical, as scRNA-seq analyses are time-consuming and require substantial computational and domain expertise. To address this challenge, we introduce CellVoyager, an AI agent built on large language models that autonomously generates and implements scRNA-seq analyses within a...

Dental collagen, a protein subject to essentially zero turnover, is highly susceptible to the accumulation of advanced glycation end-products (AGEs) due to elevated blood glucose in type 2 diabetes mellitus (T2DM). Progressive loss of collagen's structural stability likely increases the risk of tooth decay and fracture complicating the proper fixation of dental restorations. Our study aimed at investigating the structural and mechanical alterations in T2DM-affected teeth by measuring the...

CONCLUSIONS: Like the broader frailty literature, emerging AI tools lack a consistent definition of frailty, leading to design and implementation inconsistencies. The absence of knowledge user involvement may further limit the clinical relevance and equity of these technologies.