A5084563847- Cancer, Hypoxia, and Metabolism
- Sparse and Compressive Sensing Techniques
- Bioinformatics and Genomic Networks
- Cancer Research and Treatments
- Colorectal Cancer Treatments and Studies
- Quality and Safety in Healthcare
- Artificial Intelligence in Healthcare
- Machine Learning in Healthcare
- Amino Acid Enzymes and Metabolism
- Immune cells in cancer
- Advanced Image and Video Retrieval Techniques
- Metabolomics and Mass Spectrometry Studies
- Face and Expression Recognition
- Tensor decomposition and applications
- Stochastic Gradient Optimization Techniques
- Computational Drug Discovery Methods
Indiana University – Purdue University Indianapolis
2022-2024
Indiana University Bloomington
2022-2024
University of Indianapolis
2024
Indiana University School of Medicine
2022-2024
Indiana University
2021
Abstract Colorectal cancer (CRC) ranks among the most prevalent cancers worldwide, causing substantial mortality. The urgent need for effective treatments has driven research into immune checkpoint blockade (ICB) therapies, which have demonstrated significant clinical benefits across various types. Despite success of ICB a proportion CRC patients exhibit resistance to treatment, prompting identification mechanisms that hinder therapy or enhance treatment response. cells display remarkable...
Abstract Colorectal cancer (CRC) cells display remarkable adaptability, orchestrating metabolic changes that confer growth advantages, pro‐tumor microenvironment, and therapeutic resistance. One such change occurs in glutamine metabolism. tumors with high glutaminase (GLS) expression exhibited reduced T cell infiltration cytotoxicity, leading to poor clinical outcomes. However, depletion of GLS CRC has minimal effect on tumor immunocompromised mice. By contrast, inhibition is observed...
Cardiovascular disease is the leading cause of death worldwide and in U.S. Almost half adults have some form cardiovascular disease. It affects people all ages, sexes, ethnicities socioeconomic levels. However, who diseases might be asymptomatic, which means patient does not feeling anything at all. Asymptomatic patients would get diagnosed until they reach a more serious stage may miss best time for treatment. The aim this project to collect data on disease, analyze use them build...
Matrix low rank approximation is an effective method to reduce or eliminate the statistical redundancy of its components. Compared with traditional global methods such as singular value decomposition (SVD), local are more advantageous uncover interpretable data structures when clear duality exists between rows and columns matrix. Local equivalent submatrix detection. Unfortunately,existing can detect only submatrices specific mean structure, which may miss a substantial amount true...
ABSTRACT Glucose and glutamine are major carbon energy sources that promote the fast proliferation of cancer cells. Metabolic shifs observed on cell line or mouse models may not reflect general metabolic shifts in real human tissue. In this study, we conducted a computational characterization flux distribution variations central metabolism key branches pan-cancer analysis, including glycolytic pathway, production lactate, TCA cycle, nucleic acids synthesis, glutaminolysis, glutaminate,...