Synergistic Ultrasound-Activable Artificial Enzyme and Precision Gene Therapy to Suppress Redox Homeostasis and Malignant Phenotypes for Controllably Combating Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) remains one of the most lethal malignant tumors. Multimodal therapeutics with synergistic effects for treating HCC have attracted increasing attention, for instance, designing biocompatible porphyrin-based nanomedicines for enzyme-mimetic and ultrasound (US)-activable reactive oxygen species (ROS) generation. Despite the promise, the landscape of such advancements remains sparse.

Application of large language models in disease diagnosis and treatment.

Large language models (LLMs) such as ChatGPT, Claude, Llama, and Qwen are emerging as transformative technologies for the diagnosis and treatment of various diseases. With their exceptional long-context reasoning capabilities, LLMs are proficient in clinically relevant tasks, particularly in medical text analysis and interactive dialogue. They can enhance diagnostic accuracy by processing vast amounts of patient data and medical literature and have demonstrated their utility in diagnosing common diseases and facilitating the identification of rare diseases by recognizing subtle patterns in symptoms and test results.

Diagnostic Accuracy of Computational Fluid Dynamics-Based Fractional Flow Reserve Derived From Coronary Angiography: The ACCURATE Study.

Background: Although fractional flow reserve (FFR) is the contemporary standard to detect hemodynamically significant coronary stenosis, it remains underused for the need of pressure wire and hyperemic stimulus. Coronary angiography-derived FFR could break through these barriers. The aim of this study was to assess the feasibility and performance of a novel diagnostic modality deriving FFR from invasive coronary angiography (AccuFFRangio) for coronary physiological assessment.

Framework Nucleic Acid-Nanobody Fusion Probe-Based Pharmacokinetics Modulation and Analysis for Efficient Positron Emission Tomography Imaging.

Nanobodies are promising for immunoPET imaging due to their excellent antigen recognition and tumor targeting, yet rapid clearance limits their tumor accumulation. Although multimerization and albumin binding can extend their circulation time and improve tumor targeting, a simple and universal method for creating protein multimers is still needed. Here, we leveraged the facile synthesis, controllable size, and precise assembly of DNA nanotechnology to construct CD47-targeted framework nucleic acid-nanobody fusion probes with multiple valences and sizes.

Alkali burn injury model of meibomian gland dysfunction in mice.

Aim: To establish a stable, short-time, low-cost and reliable murine model of meibomian gland dysfunction (MGD).

Methods: A filter paper sheet soaked in 1.0 mol/L sodium hydroxide (NaOH) solution was used to touch the eyelid margin of C57BL/6J mice for 10s to establish the model.