Biomarkers Associated with Progression of Infantile Hemangioma: Exploratory Study

Medicine, Pediatrics, Medical Laboratory Science, Oncology, Life Sciences, Immunology,
infantile hemangioma   biomarker   GDF1   IL-7Rα   proliferation   treatment   plasma cytokines  

Biomarkers Associated with the Progression of Infantile Hemangioma: An Exploratory Study Academic Background Infantile Hemangioma (IH) is one of the most common benign tumors in infancy. Although most IH is not apparent at birth, it gradually manifests within the first month of life and undergoes a proliferative phase over approximately one year, f...

Real-World 52-Week Effectiveness of Deucravacitinib in Psoriasis: A Stratified Analysis by Age and Body Mass Index

Medicine, Rheumatology and Immunology, Life Sciences, Immunology,
psoriasis   Deucravacitinib   age stratification   body mass index   long-term efficacy   real-world study  

Real-World 52-Week Effectiveness Study of Deucravacitinib in Psoriasis Background Introduction Psoriasis is a chronic inflammatory skin disease with a global prevalence of approximately 1% to 3%. This condition not only affects patients’ quality of life (QoL) but is also often accompanied by comorbidities such as cardiovascular diseases, diabetes, ...

Stochastic Modeling of Single-Cell Gene Expression Adaptation Reveals Non-Genomic Contribution to Evolution of Tumor Subclones

Medicine, Oncology, Life Sciences, Cell Biology, Biochemistry, Immunology, Genetics,
stochastic modeling   gene expression adaptation   tumor subclones   Wnt signaling   immunotherapy   non-genomic contribution   cellular evolution  

Stochastic Modeling of Single-Cell Gene Expression Adaptation Reveals Non-Genomic Contribution to Tumor Subclone Evolution Academic Background Cancer is a complex disease whose progression is driven by the evolution of cells that are selected through adaptive advantages for growth. Traditionally, cancer evolution research has focused primarily on g...

Contrastive Learning of T Cell Receptor Representations

Medicine, Life Sciences, Cell Biology, Biochemistry, Immunology,
T cell receptor   contrastive learning   sequence alignment   specificity prediction   language model  

New Breakthrough in T Cell Receptor (TCR) Specificity Prediction: The Introduction of the SCEPTR Model Academic Background T cell receptors (TCRs) play a crucial role in the immune system by determining the specificity of immune responses through their binding to peptide-MHC complexes (pMHCs). Understanding the interaction between TCRs and specific...

Leveraging Pharmacovigilance Data to Predict Population-Scale Toxicity Profiles of Checkpoint Inhibitor Immunotherapy

Information Science, Computer Science, Medicine, Oncology, Life Sciences, Immunology,
Pharmacovigilance   Checkpoint Inhibitors   Toxicity Prediction   Deep Learning   Cancer Immunotherapy   Population Analysis   Dynamic Graph Convolutional Network  

Predicting and Monitoring the Toxicity of Immune Checkpoint Inhibitors: Breakthrough Application of the DysPred Deep Learning Framework Academic Background Immune checkpoint inhibitors (ICIs) represent a major breakthrough in cancer immunotherapy in recent years, enhancing the body’s antitumor immune response by inhibiting immune checkpoint signali...

Glepaglutide-Loaded Foam for Inducing Mucosal Healing in Inflammatory Bowel Disease Treatment

Chemistry, Medicinal Chemistry, Medicine, Medical Laboratory Science, Gastroenterology, Pharmacy, Life Sciences, Biochemistry, Immunology,
Mucosal Healing   Inflammatory Bowel Disease   Glepaglutide   Local Delivery   Anti-inflammatory Properties  

A Novel Rectal Foam Formulation for the Treatment of Inflammatory Bowel Disease In recent years, the incidence of inflammatory bowel disease (IBD), characterized by mucosal damage, chronic inflammation, and recurrent episodes, has been steadily rising, yet ideal therapeutic solutions remain elusive. Researchers have identified a 33-amino acid pepti...