A5001241589- Natural Language Processing Techniques
- RNA modifications and cancer
- Topic Modeling
- Cancer, Hypoxia, and Metabolism
- SARS-CoV-2 and COVID-19 Research
- Adenosine and Purinergic Signaling
- Multimodal Machine Learning Applications
- Stress Responses and Cortisol
- Monoclonal and Polyclonal Antibodies Research
- GDF15 and Related Biomarkers
- vaccines and immunoinformatics approaches
- Biochemical and Molecular Research
- Adversarial Robustness in Machine Learning
- Nanoplatforms for cancer theranostics
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Speech Recognition and Synthesis
- COVID-19 Clinical Research Studies
- Regulation of Appetite and Obesity
- Ferroptosis and cancer prognosis
- Effects of Radiation Exposure
- Exercise and Physiological Responses
- Radiomics and Machine Learning in Medical Imaging
- Animal Virus Infections Studies
- Adipose Tissue and Metabolism
Shandong University
2023-2025
North Sichuan Medical University
2025
Yunnan University of Traditional Chinese Medicine
2025
Tsinghua University
2021-2024
Sixth Affiliated Hospital of Sun Yat-sen University
2021-2024
Sun Yat-sen University
2020-2024
First Affiliated Hospital of Xinxiang Medical University
2024
Beijing Normal University
2019-2023
Xinxiang Medical University
2023
Xinxiang University
2023
Significance SARS-CoV-2 continues to evolve through emerging variants, more frequently observed with higher transmissibility. Despite the wide application of vaccines and antibodies, selection pressure on Spike protein may lead further evolution variants that include mutations can evade immune response. To catch up virus’s evolution, we introduced a deep learning approach redesign complementarity-determining regions (CDRs) target multiple virus obtained an antibody broadly neutralizes variants.
Large Language Models (LLMs), such as ChatGPT and GPT-4, have dramatically transformed natural language processing research shown promising strides towards Artificial General Intelligence (AGI). Nonetheless, the high costs associated with training deploying LLMs present substantial obstacles to transparent, accessible academic research. While several large models, LLaMA, been open-sourced by community, these predominantly focus on English corpora, limiting their usefulness for other...
Abstract Gastric cancer (GC), one of the most common malignant tumors in world, exhibits a rapid metastasis rate and causes high mortality. Diagnostic markers potential therapeutic targets for GCs are urgently needed. Here we show that Actin-like protein 6 A (ACTL6A), encoding an SWI/SNF subunit, is highly expressed GCs. ACTL6A found to be critical regulating glutathione (GSH) metabolism pathway because it upregulates γ-glutamyl-cysteine ligase catalytic subunit (GCLC) expression, thereby...
Abstract Background NOP2/Sun domain 2 (NSUN2) is one of the important RNA methyltransferases catalyzing 5‐methylcytosine (m5C) formation and participates in many critical bioprocesses. However, roles underlying molecular mechanisms NSUN2‐mediated m5C modification colorectal cancer (CRC) remain unclear. Methods To explore NSUN2 expression CRC, fresh tissue samples were collected Nsun2 knockout mouse was constructed. In vitro vivo functional assays conducted to assess role NSUN2. array...
As SARS-CoV-2 Omicron and other variants of concern (VOCs) continue spreading worldwide, development antibodies vaccines to confer broad protective activity is a global priority. Here, we report on the identification special group nanobodies from immunized alpaca with potency against diverse VOCs including subvariants BA.1, BA.2 BA.4/5, SARS-CoV-1, major sarbecoviruses. Crystal structure analysis one representative nanobody, 3-2A2-4, discovers highly conserved epitope located between cryptic...
Misuse of the Large Language Models (LLMs) has raised widespread concern. To address this issue, safeguards have been taken to ensure that LLMs align with social ethics. However, recent findings revealed an unsettling vulnerability bypassing LLMs, known as jailbreak attacks. By applying techniques, such employing role-playing scenarios, adversarial examples, or subtle subversion safety objectives a prompt, can produce inappropriate even harmful response. While researchers studied several...
Abstract Epstein-Barr virus (EBV) is associated with a range of epithelial and B cell malignancies as well autoimmune disorders, for which there are still no specific treatments or effective vaccines. Here, we isolate EBV gH/gL-specific antibodies from an EBV-infected individual. One antibody, 1D8, efficiently neutralizes infection two major target types, cells cells. In humanized mice, 1D8 provides protection against high-dose challenge by substantially reducing viral loads tumor burden....
Colorectal cancer (CRC) is one of the most common cancers in China. However, detailed clinical characteristics and survival information are limited. This study aimed to investigate potential epidemiological risk factors affecting CRC patients southern China.Patients with primary between 1994 2019 at First Sixth Affiliated Hospitals Sun Yat-sen University (Guangzhou, China) were included. Clinical outcomes collected from medical records. The Kaplan-Meier method was used estimate overall (OS)...
Pre-trained Language Models (PLMs) have been widely used in various natural language processing (NLP) tasks, owing to their powerful text representations trained on large-scale corpora. In this paper, we propose a new PLM called PERT for understanding (NLU). is an auto-encoding model (like BERT) with Permuted Model (PerLM). The formulation of the proposed PerLM straightforward. We permute proportion input text, and training objective predict position original token. Moreover, also apply...
Abstract Metabolic reprogramming can contribute to colorectal cancer progression and therapy resistance. Identification of key regulators metabolism could provide new approaches improve treatment reduce recurrence. Here, we demonstrate a critical role for the COP9 signalosome subunit CSN6 in rewiring nucleotide cancer. Transcriptomic analysis patient samples revealed correlation between expression purine pyrimidine metabolism. A colitis-associated model established that Csn6 intestinal...
Large language models (LLMs) have facilitated the generation of high-quality, cost-effective synthetic data for developing downstream and conducting statistical analyses in various domains. However, increased reliance on may pose potential negative impacts. Numerous studies demonstrated that LLM-generated can perpetuate even amplify societal biases stereotypes, produce erroneous outputs known as ``hallucinations'' deviate from factual knowledge. In this paper, we aim to audit artifacts, such...
Human-AI conversations have gained increasing attention since the era of large language models. Consequently, more techniques, such as input/output guardrails and safety alignment, are proposed to prevent potential misuse conversations. However, ability identify these has significant implications, both for adversarial exploitation auditing purposes by red team operators. In this work, we propose a novel method, AP-Test, which identifies presence candidate guardrail leveraging...
At present, tumor immune escape is a major problem in the treatment of tumors. The complex network microenvironments significantly impairs efficacy immunotherapy. This paper reports preparation and immunoantitumor activity novel multifunctional defect tungsten trioxide@ferrocene-folic acid composite (WO3-x@Fe-FA) with high Fenton reaction rate. Ferrocene modified on surface defective trioxide by covalent coupling method for first time, rate increased 10 times. WO3-x@Fe-FA induces immunogenic...
Abstract Circulating tumor DNA (ctDNA) offers a noninvasive method to assess tumor-specific mutations. This retrospective study investigated the concordance of genomic variations between ctDNA and tissue its influence factors. Paired blood samples were collected from 1, 111 patients with ten types underwent sequencing 425 genes. We evaluated relationship concentration cell-free (cfDNA), sensitivity ctDNA, mutation landscape, variant allele frequency, various clinical parameters. The median...