Sun Yat-sen University

AOPQ-Net Acoustic–Optical Proposal Query Network for Underwater Multimodal Object Detection

Optical cameras and imaging sonars are widely used sensors in autonomous underwater vehicles. However, their different imaging mechanisms introduce substantial cross-modal discrepancies in the acquired data. In addition, underwater optical images are often degraded by low illumin...

PARP Inhibitors plus Anlotinib as Bridging Therapy for Armored CAR‐T Cells in Ovarian Cancer Enhances Infiltration and Antitumor Efficacy

ABSTRACT Chimeric antigen receptor (CAR)‐T cell therapy is largely ineffective in most solid tumors, partially because of inadequate intratumoral trafficking. Bridging therapy, administered between leukapheresis and CAR‐T cell infusion, offers a distinct opportunity to control th...

Chinese expert consensus on extraintestinal manifestations of inflammatory bowel disease

Inflammatory bowel disease (IBD) is a chronic, relapsing, inflammatory condition of the gastrointestinal tract that primarily includes Crohn's disease and ulcerative colitis. Beyond the typical gastrointestinal symptoms, IBD is frequently associated with various extraintestinal m...

NonlinearSynergistic Coupling of Poisson Deformationand Crack Engineering Enables Linear Mechanosensing up to 4 MPa

Abstract Reliable and accurate physiological mechanosensing requires tactile sensors that maintain linearity across ultrawide ranges, yet most reported devices saturate below 500 kPa due to strain hardening and deformation saturation of elastic microstructures. Balancing this lon...

Osimertinib With or Without Chemotherapy in Advanced Non–Small Cell Lung Cancer With EGFR and Concurrent TP53 Mutations

Importance: Combination therapy has emerged as a promising therapeutic approach for patients with epidermal growth factor receptor (EGFR)-mutated non-small cell lung cancer (NSCLC). However, its clinical benefit-risk profile remains a focus of ongoing debate. Identifying patients...

Longitudinal MRI-based Delta-Habitat model for predicting pathological complete response to neoadjuvant chemoimmunotherapy in head and neck squamous cell carcinoma

To develop and validate a machine learning model integrating habitat imaging features before and after neoadjuvant chemoimmunotherapy (NACI) to predict pathological complete response (pCR) to NACI in head and neck squamous cell carcinoma (HNSCC). A multicenter retrospective study...

Elevated aerosol layers within the daytime mixed layer over ecologically sensitive areas of northwest China: diurnal variation, formation mechanisms and regional effects

Abstract. The cyclic processes of aerosol evolution have a profound impact on regional climate, water resources and ecosystems. However, studies on diurnal variations of aerosol vertical distribution in typical ecologically sensitive areas remain scarce due to limited availabilit...

Crystalline Lens Tilts Less With Higher Myopia in Children With Limited Age-Related Effect

Purpose: To evaluate tilted crystalline lens morphology in children across different orientations and their correlations with age and spherical equivalent (SE). Methods: This cross-sectional study encompassed 966 eyes of 493 children (5-15 years; SE, -6.00 to +3.00 diopters [D])....

Noninvasive Detection of MASH and Fibrotic Burden Using Ultrasound‐Derived LIID and LSM in MASLD: A Multicenter Study

ABSTRACT Background and Aims Metabolic dysfunction‐associated steatohepatitis (MASH), the progressive form of metabolic dysfunction‐associated steatotic liver disease (MASLD), is associated with adverse hepatic and cardiometabolic outcomes. The study aimed to validate a novel qua...

Efficacy of anti-PD-1/PD-L1 plus chemotherapy in treatment-naïve advanced HER2-negative gastric adenocarcinoma among different PD-L1 intervals: an updated meta-analysis and reconstructed individual patient-level data analysis

Abstract Background Chemo-immunotherapy (CIT) has become the frontline therapy for advanced human epidermal growth factor receptor 2 (HER2)-negative gastric or gastro-esophageal junction adenocarcinoma (GEAC). However, emerging evidence suggests that clinical benefit is primarily...

A deep learning framework for amplitude generation of generic EMRIs

Abstract One of the main targets for space-borne gravitational wave detectors is the detection of Extreme Mass Ratio Inspiral (EMRIs). Data analysis of EMRIs requires waveform models that are both accurate and fast. The major challenge for the fast generation of such waveforms is...

MemTrax as a scalable digital triage tool for mild cognitive impairment screening: primary validation in Alzheimer’s disease and exploratory analysis in Parkinson’s disease

Alzheimer’s disease (AD) and Parkinson’s disease (PD) pose escalating global health challenges, with early detection of mild cognitive impairment (MCI) being critical for timely intervention. The 2023 Delphi consensus highlights the need for scalable tools suitable for primary ca...

Discovery of a peripheral Myh11-expressing nucleus pulposus cell population demontrating therapeutic potential for disc degeneration

Continual turnover of nucleus pulposus (NP) cellularity is critical for maintaining intervertebral disc (IVD) homeostasis; however, the presence and identity of potential progenitor cells within the NP remain unclear. This study identifies NP cells expressing myosin heavy chain 1...

A multi-class gastric biopsy artificial intelligence model developed from whole slide histopathological images

Pathological diagnosis of biopsies remains the gold standard for gastric diseases such as gastric carcinoma (GC), but it suffers from clinical misdiagnosis and high workload. Accurately distinguishing early-stage GC (EGC) from advanced-stage GC (AGC) and preoperatively predicting...

Pan-retinal pathology detection in oct scans integrating natural language synthesis with diagnostic annotation

Abstract While OCT is pivotal for macular disease diagnosis, its adoption in primary care is limited by AI systems that cannot simultaneously analyze multi-sectional scans across the full spectrum of maculopathies or generate diagnostically integrated reports. Here we present iOC...

Benchmarking RNA-seq with the Quartet and MAQC reference materials to establish best practices for accurate alternative splicing analysis

Previous limited characterization of short-read RNA-seq (srRNA-seq) accuracy in alternative splicing (AS) analysis due to methodological diversity and lack of reference standards, has left unclear how to achieve optimal performance—an issue increasingly critical with the rise of...

Wearable Electronics for Precision Diagnosis Through Advanced Manufacturing and Integration

Wearable electronics are rapidly transforming healthcare by enabling continuous, real-time monitoring of physiological and molecular signals directly at the point of need. This shift supports a transition from episodic, generalized care toward precision diagnosis, where individua...

Prevalence and associations of biological rhythm disorders with depression and anxiety symptoms in Chinese adolescents: A multicenter study across seven provinces

Biological rhythm disruption is increasingly implicated in adolescent emotional ill-health. We conducted a multicenter cross-sectional survey of 9,498 senior high school students (15–18 years) from seven Chinese provinces. Depressive and anxiety symptoms were assessed with the Pa...

Drivers of flash flood frequency and intensity in the United States: a quantitative analysis of hydrometeorological interactions

Abstract. Inconsistent changes in precipitation and flooding have spurred investigations into the underlying mechanisms, yet the quantitative understanding of interactions between precipitation, temperature, and land cover in streamflow dynamics remains limited. We investigate st...

Oceanic Thermal and Storm Dynamic Controls on Precipitation Variability of Landfalling Typhoons in Zhejiang Province, China (2000–2025)

Landfalling typhoons frequently cause severe flooding and socioeconomic losses along the eastern coast of China, yet the relative influence of oceanic and storm-related factors on precipitation variability remains insufficiently understood. This study investigates the relationshi...