Institution
Sun Yat-sen University
Recent research
- Materials & EnergyOpen access
A MultitaskLarge Reasoning Model for Molecular Science
Abstract Artificial intelligence in molecular science must move beyond pattern recognition toward chemically valid and interpretable reasoning. We present a task-adaptive large reasoning model that integrates chemical knowledge through a synergistic multispecialist architecture,...
- BiologyOpen access
<title>Abstract</title> <bold>Background</bold> The CRISPR/Cas7-11 system is a recently characterized RNA editing tool that exhibits low toxicity, minimal off-target effects, and reduced collateral RNA cleavage compared with existing methods. Although zebrafish and human embryoni...
- AI & ComputingOpen access
Artificial intelligence for medical imaging is required to be accurate and interpretable to clinicians. However, current multimodal biomedical foundation models often prioritize performance over explainability. Here we present ConceptCLIP, an explainable biomedical foundation mod...
- Health & MedicineOpen access
<title>Abstract</title> Background PARP inhibitors (PARPi) are standard front-line maintenance therapy for advanced ovarian cancer, but the efficacy of PARPi retreatment in later lines remains unclear. This phase Ib/II study evaluated the combination of pamiparib (a PARPi) and su...
- Health & MedicineOpen access
Proficient mismatch repair/microsatellite-stable colorectal cancer (pMMR/MSS CRC), which represents the majority of clinical cases, exhibits low tumor mutational burden and minimal responsiveness to immune checkpoint blockade. Disrupting the MMR system has been shown to resensiti...
- Health & MedicineOpen access
To explore the key influencing factors of the risk of nosocomial infection in patients with multiple myeloma (MM), to construct a prediction model to effectively assess the risk of infection, and to provide a basis for individualized infection prevention and control. 245 patients...
- Society & EconomicsOpen access
Postpartum depression (PPD) is among the most common complications of childbirth, and identifying novel treatments is vital. We aimed to identify potential drug targets for PPD by integrating the plasma proteome, transcriptome and epigenome. We designed a comprehensive analysis p...
- BiologyOpen access
YAP delactylation enhances therapy resistance in renal cell carcinoma
Abstract Lactylation is a novel lysine acylation modification, and its function and exact mechanisms remain unclear. The responsiveness to combined targeted and immunotherapy continues to be a major challenge in cancer treatment. Here, we discovered that lysine lactylation (Kla)...
- Materials & Energy
Abstract Photocatalytic CO2 reduction coupled with alcohol oxidation enables the simultaneous production of solar fuels and value-added chemicals, yet redox-site interference on a single photocatalyst remains a key efficiency limitation. Herein, we install spatially separated red...
- Engineering & Technology
Abstract Rapid and reliable simultaneous quantification of multiple steroid hormones is important for the diagnosis and monitoring of endocrine disorders such as polyendocrine metabolic ovarian syndrome (PMOS), formerly known as polycystic ovary syndrome (PCOS). Existing methods...
- BiologyOpen access
Microglia are central regulators of retinal immune homeostasis, yet their pathogenic states in retinal degeneration remain less well understood. Here we identified a distinct subset of lipid-accumulated reactive microglia (aLARM), using scRNA sequencing and spatial transcriptomic...
- Health & MedicineOpen access
A randomized, open-label, phase 2 trial assessed fuzuloparib (a PARP inhibitor) plus apatinib (a vascular endothelial growth factor receptor [VEGFR] inhibitor) versus fuzuloparib alone in patients with recurrent ovarian cancer (ROC). Patients with ROC who had failed ≥ 2 lines of...
- Health & MedicineOpen access
Insulin resistance and frailty are both independently associated with elevated blood pressure, yet the combined and cumulative impact of these conditions on incident hypertension remains largely unexplored. This study aimed to evaluate the association between cumulative exposure...
- Materials & EnergyOpen access
Abstract Reliable uncertainty quantification (UQ) for graph neural networks (GNNs) under out-of-distribution (OOD) shifts remains insufficiently characterized in materials discovery. Existing benchmarks based on random splits can overestimate model reliability by underrepresentin...
- Materials & EnergyOpen access
Conventional catalytic ozonation of electron-rich sulfur-containing pollutants shows limited efficiency due to nonselective oxidation of hydroxyl radicals (•OH) and sulfate-induced deactivation of active metal sites. Here, we synthesized a high-entropy spinel, (CuNiMnCo)Fe2O4, fe...
- Health & MedicineOpen access
Endometrial cancer (EC) incidence is rising globally, yet diagnosis still depends on invasive procedures, which limit accessibility and delay early detection. A noninvasive, accurate, and accessible diagnostic assay is urgently needed to enable early EC detection. In this multice...
- Biology
Abstract APOBEC3B (A3B), a key driver of cancer mutagenesis, has emerged as a promising therapeutic target to be ablated to enhance antitumor immunity while reducing intestinal inflammation. Starting from SMC247 (3, 5-diiodotyrosine), a kelp-derived natural product, we identified...
- Health & MedicineOpen access
To evaluate the effect of crown materials for fixed prostheses on the image quality at different positions in Cone-Beam Computed Tomography (CBCT). A customized virtual maxillary model with three fixed abutments and six recesses was designed and fabricated using 3D printing. Six...
- BiologyOpen access
EBV-driven Gate–License–Amplify circuit in multiple sclerosis pathogenesis
Five recent publications establish a “Gate–License–Amplify” circuit that mechanistically links Epstein–Barr virus (EBV) infection and genetic risk (HLA-DR15) to the pathogenesis of multiple sclerosis (MS). 1 , 2 , 3 , 4 , 5 This new model reveals how EBV reprograms immunopeptidom...
- Engineering & TechnologyOpen access
Toeplitz-structured deep unfolding network for TomoSAR 3-D reconstruction
Urban area 3-D imaging is a key application of synthetic aperture radar (SAR). Classical compressive sensing-based tomographic SAR methods rely on iterative optimization, which is computationally expensive and sensitive to hyperparameter tuning, limiting its scalability for large...