Enabling tumor-specific drug delivery by targeting the Warburg effect of cancer

Research on a New Platform for Tumor-Specific Drug Delivery Targeting the Warburg Effect Cancer remains a global health challenge. Traditional cancer treatments, such as chemotherapy and radiotherapy, often come with significant side effects due to their inability to distinguish between tumor tissues and healthy tissues, leading to damage in the la...

The Direct and Indirect Inhibition of Proinflammatory Adipose Tissue Macrophages by Acarbose in Diet-Induced Obesity

Exploring the Direct and Indirect Immunomodulatory Effects of Acarbose on Obesity-Associated Chronic Inflammation Academic Background With the global prevalence of obesity, related metabolic syndromes such as insulin resistance (IR), type 2 diabetes, cardiovascular diseases, and fatty liver disease have become major threats to human health. These c...

Potent Function of CD70-Targeted iPSC-Derived CAR-NK Cells Against Tumors and Alloreactive T Cells

Potent Function of CD70-Targeted iPSC-Derived CAR-NK Cells Against Tumors and Alloreactive T Cells

Targeting CD70 with iPSC-Derived CAR-NK Cell Therapy Background and Objectives of the Study Over the past decade, cellular therapy for cancer has revolutionized traditional treatment concepts by introducing the idea of a “living drug.” In particular, chimeric antigen receptor T cell (CAR-T) therapy has drastically improved the efficacy of immunothe...

Mitochondrial Uncouplers Inhibit Oncogenic E2F1 Activity and Prostate Cancer Growth

Mitochondrial Uncouplers Inhibit Oncogenic E2F1 Activity and Prostate Cancer Growth

Research Report: Mitochondrial Uncouplers Inhibit E2F1 Activity and Prostate Cancer Growth Background Prostate cancer (PC) is the most common cancer and the second leading cause of cancer-related deaths among men in the United States. In 2024, an estimated 299,010 American men will be diagnosed with prostate cancer, and 35,250 will die from the dis...

Federated Local Causal Structure Learning Algorithm

Intersection of Data Privacy and Causal Learning: Breakthrough in Federated Local Causal Structure Learning With the rapid development of big data and artificial intelligence, analyzing and inferring causal relationships while ensuring data privacy in sensitive fields such as healthcare and finance has become a key challenge for academia and indust...

GLUT1-targeted near-infrared fluorescence molecular imaging for precise intraoperative detection of breast cancer

A Novel GLUT1-Targeted Fluorescence Imaging Tracer: Advances in Intraoperative Breast Cancer Detection Background and Problem Statement Breast cancer is one of the most common malignancies among women worldwide, with an estimated 2.3 million new cases and approximately 666,000 deaths globally in 2022. Surgical treatment for breast cancer typically ...

Fibroblast Activation Protein-Targeted NIR-I/II Fluorescence Imaging for Detecting Hepatocellular Carcinoma

A Novel Near-Infrared Fluorescence Imaging Study Targeting Hepatocellular Carcinoma (HCC) Hepatocellular carcinoma (HCC) ranks as the sixth most common malignancy and the third leading cause of cancer-related mortality worldwide. Statistics indicate that the postoperative recurrence rate of HCC reaches as high as 80%, with liver fibrosis or cirrhos...

Association of Objective Subtle Cognitive Difficulties with Amyloid-β and Tau Deposition in Alzheimer's Disease

Research Progress on Early Alzheimer’s Stages: Focusing on Differences Between Objective Subtle Cognitive Difficulties and Subjective Cognitive Decline Alzheimer’s disease (AD) is a critical topic in modern neuroscience and geriatric medicine research. Its pathological process begins years before the onset of clinical symptoms. Increasing evidence ...

Empowering PET Imaging Reporting with Retrieval-Augmented Language Models and Reading Reports Database: A Pilot Study

The Application of Large Language Models in PET Imaging Reports: A Single-Center Pilot Study Combining Retrieval-Augmented Generation With the rapid development of artificial intelligence, large language models (LLMs) have gained widespread attention for their zero-shot learning and natural language processing capabilities in the medical domain. Al...

A Proof-of-Concept Study for Precise Mapping of Pigmented Basal Cell Carcinoma in Asian Skin Using Multispectral Optoacoustic Tomography Imaging with Level Set Segmentation

A Proof-of-Concept Study for Precise Mapping of Pigmented Basal Cell Carcinoma in Asian Skin Using Multispectral Optoacoustic Tomography Imaging with Level Set Segmentation

A New Approach to Skin Cancer Diagnosis: Research on Photoacoustic Imaging with Level Set Segmentation Algorithm In recent years, with global population aging and environmental changes, the incidence rate of skin cancer has been climbing annually. As a significant public health issue, skin cancer primarily manifests in non-melanoma types like squam...