Tong Zhang
YOU?
Author Swipe
View article: Associations of triglyceride glucose index and atherogenic index of plasma with plaque, inflammation, flow, and functional ischemia assessed by cardiovascular computed tomography imaging in hypertensive patients: a study of different glucose metabolism status
Associations of triglyceride glucose index and atherogenic index of plasma with plaque, inflammation, flow, and functional ischemia assessed by cardiovascular computed tomography imaging in hypertensive patients: a study of different glucose metabolism status Open
Among hypertensive participants, significant correlations were observed between the AIP, TyG index and coronary plaque, flow, and inflammation. The coexistence of DM has different effects on these associations. Regardless of DM, functional…
View article: MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction
MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction Open
Clinical risk prediction based on machine learning algorithms plays a vital role in modern healthcare. A crucial component in developing a reliable prediction model is collecting high-quality time series clinical events. In this work, we r…
View article: A multimodal nomogram for benign-malignant discrimination of lung-RADS ≥4A nodules: integration of oxygen enhanced zero echo time MRI, CT radiomics, and clinical factors
A multimodal nomogram for benign-malignant discrimination of lung-RADS ≥4A nodules: integration of oxygen enhanced zero echo time MRI, CT radiomics, and clinical factors Open
Background and objective Lung-RADS ≥4A nodules require urgent intervention. Low-dose CT (LDCT), the primary screening tool, involves cumulative radiation exposure—critical for patients with serial scans. Oxygen-enhanced zero-echo time MRI …
View article: Evaluating the precision and reproducibility of cephalometric landmarks in locally reconstructed lateral cephalometric radiographs from cone beam computed tomography (CBCT)
Evaluating the precision and reproducibility of cephalometric landmarks in locally reconstructed lateral cephalometric radiographs from cone beam computed tomography (CBCT) Open
The CBCT locally reconstructed lateral cephalometric radiographs proposed in this study enhanced the precision and reproducibility of cephalometric landmark identification.
View article: Harnessing the Power of Multiple-Instance Learning for Conversion Therapy Outcome Prediction from Pretreatment CT images of Patients with Gastric Cancer
Harnessing the Power of Multiple-Instance Learning for Conversion Therapy Outcome Prediction from Pretreatment CT images of Patients with Gastric Cancer Open
Background: Gastric cancer is a leading cause of cancer-related death worldwide. Conversion therapy for gastric cancer is a treatment strategy that aims to convert unresectable gastric cancer into resectable ones. Early noninvasive evaluat…
View article: Deep learning Progressive Distill for predicting clinical response to conversion therapy from preoperative CT images of advanced gastric cancer patients
Deep learning Progressive Distill for predicting clinical response to conversion therapy from preoperative CT images of advanced gastric cancer patients Open
Background and objective: Identifying patients suitable for conversion therapy through early non-invasive screening is crucial for tailoring treatment in advanced gastric cancer (AGC). This study aimed to develop and validate a deep learni…
View article: National Institute of Health Stroke Scale Score Mediated the Relationship between Systemic Inflammatory Response Index, High-Sensitivity C-Reactive Protein, and Functional Prognosis of Acute Ischemic Stroke: A Prospective Cross-Sectional Study
National Institute of Health Stroke Scale Score Mediated the Relationship between Systemic Inflammatory Response Index, High-Sensitivity C-Reactive Protein, and Functional Prognosis of Acute Ischemic Stroke: A Prospective Cross-Sectional Study Open
Background: The systemic inflammatory indicators were reported to relate to the functional prognosis of acute ischemic stroke (AIS). Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation ind…
View article: MIMIC-\RNum{4}-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction.
MIMIC-\RNum{4}-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction. Open
Clinical risk prediction based on machine learning algorithms plays a vital role in modern healthcare. A crucial component in developing a reliable prediction model is collecting high-quality time series clinical events. In this work, we r…
View article: Self-rewarding correction for mathematical reasoning
Self-rewarding correction for mathematical reasoning Open
We study self-rewarding reasoning large language models (LLMs), which can simultaneously generate step-by-step reasoning and evaluate the correctness of their outputs during the inference time-without external feedback. This integrated app…
View article: RETRACTED: New understanding on iota-carrageenan oxidation by hydrogen peroxide with or without copper sulphate and the properties of oxidized iota-carrageenan
RETRACTED: New understanding on iota-carrageenan oxidation by hydrogen peroxide with or without copper sulphate and the properties of oxidized iota-carrageenan Open
To explore the oxidation mechanism of iota-carrageenan (IC) and the potential applications of oxidized IC (OIC), a series of OIC samples were firstly synthesized under hydrogen peroxide or hydrogen peroxide/copper sulphate, their purificat…
View article: SEE-DPO: Self Entropy Enhanced Direct Preference Optimization
SEE-DPO: Self Entropy Enhanced Direct Preference Optimization Open
Direct Preference Optimization (DPO) has been successfully used to align large language models (LLMs) according to human preferences, and more recently it has also been applied to improving the quality of text-to-image diffusion models. Ho…
View article: Soundscapes in Urban Green Spaces of a Megacity Across an Urban–Rural Gradient: A Case Study of Shanghai
Soundscapes in Urban Green Spaces of a Megacity Across an Urban–Rural Gradient: A Case Study of Shanghai Open
Urban soundscapes are valuable indicators of urban biodiversity and ecosystem health. This study investigated the spatial and temporal characteristics of soundscapes in megacity green spaces and their relationship with the urban environmen…
View article: A PD-1-targeted, receptor-masked IL-2 immunocytokine that engages IL-2Rα strengthens T cell-mediated anti-tumor therapies
A PD-1-targeted, receptor-masked IL-2 immunocytokine that engages IL-2Rα strengthens T cell-mediated anti-tumor therapies Open
The clinical use of interleukin-2 (IL-2) for cancer immunotherapy is limited by severe toxicity. Emerging IL-2 therapies with reduced IL-2 receptor alpha (IL-2Rα) binding aim to mitigate toxicity and regulatory T cell (Treg) expansion but …
View article: Boys don't benefit, girls still suffer：The role of gender stereotypes of math and physics in academic self-efficacy among Chinese adolescents
Boys don't benefit, girls still suffer：The role of gender stereotypes of math and physics in academic self-efficacy among Chinese adolescents Open
Under the background of the prevailing "gender equality" education, an increasing number of voices are noting the importance of gender equality and androgyny, and the impact gender stereotypes will have on students is unclear to most teach…
View article: Cross‐sectional investigation of the distribution characteristics and prognostic significance of lateral lymph nodes in patients with rectal cancer
Cross‐sectional investigation of the distribution characteristics and prognostic significance of lateral lymph nodes in patients with rectal cancer Open
Background Information about the distribution characteristics and prognostic significance of lateral lymph nodes (LLNs) on primary computed tomography (CT) scan in rectal cancer patients is lacking. Methods Between January 2013 and Decembe…
View article: CDK4/6 and SHP2 mediate BRAF/MEK inhibitor resistance in Class 2 and 3 BRAF mutant cancers
CDK4/6 and SHP2 mediate BRAF/MEK inhibitor resistance in Class 2 and 3 BRAF mutant cancers Open
Class 2 and 3 non-V600E BRAF mutations are oncogenic drivers in many cancer types. Currently, there are no established targeted therapies with proven efficacy for cancers with non-V600E BRAF mutations. We developed the investigator-initiat…
View article: Ischemic insular damage and stress ulcer in patients of acute ischemic stroke
Ischemic insular damage and stress ulcer in patients of acute ischemic stroke Open
Background and aims Stress ulcer (SU) is a common complication in patients with acute ischemic stroke. The relationship of infarction location and the incidence of SU was unclear. Herein, we aim to investigate the association between ische…
View article: Coronary artery lesions in children with Kawasaki disease: status quo and nursing care
Coronary artery lesions in children with Kawasaki disease: status quo and nursing care Open
Aim Coronary artery lesion (CAL) is a common yet serious complication in children with Kawasaki disease. The aim of the present study was to evaluate the influencing factors of CAL in children with Kawasaki disease, to provide reference fo…
View article: Triglyceride glucose index is associated with functional coronary artery stenosis in hypertensive patients
Triglyceride glucose index is associated with functional coronary artery stenosis in hypertensive patients Open
Background The triglyceride glucose (TyG) index is an effective method for determining insulin resistance (IR). Limited research has explored the connection between the TyG index and functionally significant stenosis in hypertensive patien…
View article: Exploring factors affecting patient satisfaction in online healthcare: A machine learning approach grounded in empathy theory
Exploring factors affecting patient satisfaction in online healthcare: A machine learning approach grounded in empathy theory Open
Objective Empathy between doctors and patients is crucial in enhancing patient satisfaction with medical consultations. This study, grounded in empathy theory, employs natural language processing and machine learning algorithms to explore …
View article: Effectiveness and the nomogram of small incision lenticule extraction in the correction of myopic anisometropia in adults
Effectiveness and the nomogram of small incision lenticule extraction in the correction of myopic anisometropia in adults Open
AIM: To evaluate the safety, effectiveness, and predictability of small incision lenticule extraction (SMILE) for the treatment of anisometropia, and to explore the personalized design scheme of SMILE in correcting adult myopia anisometrop…