A5038701713- Neuroblastoma Research and Treatments
- Systemic Sclerosis and Related Diseases
- Chronic Kidney Disease and Diabetes
- AI in cancer detection
- Topic Modeling
- Colorectal Cancer Screening and Detection
- Cancer, Hypoxia, and Metabolism
- Social Media in Health Education
- Lung Cancer Research Studies
- CAR-T cell therapy research
- Immune Cell Function and Interaction
- Multimodal Machine Learning Applications
- Radiomics and Machine Learning in Medical Imaging
The University of Texas Southwestern Medical Center
2024
Cancer Research Center
2024
Boston University
2021-2024
Solid tumors, especially those with aberrant MYCN activation, often harbor an immunosuppressive microenvironment to fuel malignant growth and trigger treatment resistance. Despite this knowledge, there are no effective strategies tackle problem. We found that chemokine-like factor ( CKLF ) is highly expressed by various solid tumor cells transcriptionally up-regulated MYCN. Using the MYCN-driven high-risk neuroblastoma as a model system, we demonstrated early premalignant stage, secrete...
Abstract The proliferation of scientific podcasts has generated an extensive repository audio content, rich in specialized terminology, diverse topics, and expert dialogues. Here, we introduce a computational framework designed to enhance large language models (LLMs) by leveraging this informational content from publicly accessible podcast data across science, technology, engineering, mathematics medical (STEMM) disciplines. This dataset, comprising over 3, 700 hours was transcribed generate...
Abstract Neuroblastoma, especially those with aberrant MYCN activation, often harbor an immunosuppressive microenvironment to fuel malignant growth and trigger treatment resistance. Despite this knowledge, there are no effective strategies tackle problem. Here we combined analyses of human neuroblastoma live tracking functional studies the tumor (TME) in zebrafish. We identified chemokine-like factor (CKLF) as a key driver MYCN-mediated immunosuppression aggression. showed that...
Abstract Interstitial fibrosis and tubular atrophy (IFTA) on a renal biopsy are strong indicators of disease chronicity prognosis. Techniques that typically used for IFTA grading remain manual, leading to variability among pathologists. Accurate estimation using computational techniques can reduce this provide quantitative assessment by capturing the pathologic features. Using trichrome-stained whole slide images (WSIs) processed from human biopsies, we developed deep learning (DL) framework...
Abstract Neuroblastoma, especially those with aberrant MYCN activation, often harbor an immunosuppressive microenvironment to fuel malignant growth and trigger treatment resistance. Despite this knowledge, there are no effective strategies tackle problem. Here we combined analyses of human neuroblastoma live tracking functional studies the tumor (TME) in zebrafish. We identified a tumor-associated chemokine (TAC) as key driver MYCN-mediated immunosuppression aggression. Taking advantage vivo...