A5021405510- AI in cancer detection
- Advanced Photocatalysis Techniques
- Advanced oxidation water treatment
- Cell Image Analysis Techniques
- Force Microscopy Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Cellular Mechanics and Interactions
- Magnetic confinement fusion research
- Cancer Immunotherapy and Biomarkers
- Environmental remediation with nanomaterials
- Biomedical Text Mining and Ontologies
- Ferroptosis and cancer prognosis
- Analytical chemistry methods development
- Ionosphere and magnetosphere dynamics
- Cancer-related molecular mechanisms research
- Microfluidic and Bio-sensing Technologies
- 3D Printing in Biomedical Research
- Nanomaterials for catalytic reactions
- HER2/EGFR in Cancer Research
- Optical Systems and Laser Technology
- Gene expression and cancer classification
- Image Retrieval and Classification Techniques
- Epigenetics and DNA Methylation
- Semiconductor materials and interfaces
- Advancements in Battery Materials
Beijing HuiLongGuan Hospital
2025
Peking University
2025
Rutgers Cancer Institute of New Jersey
2013-2024
Rutgers, The State University of New Jersey
2014-2024
University of Electronic Science and Technology of China
2015-2024
Tianjin University of Technology and Education
2024
Hong Kong University of Science and Technology
2009-2024
Beijing University of Chinese Medicine
2024
Peking University Shenzhen Hospital
2022-2024
Southwestern Institute of Physics
2017-2024
Abstract As anodes of Li‐ion batteries, copper oxides (CuO) have a high theoretical specific capacity (674 mA h g −1 ) but own poor cyclic stability owing to the large volume expansion and low conductivity in charges/discharges. Incorporating reduced graphene oxide (rGO) into CuO with conventional methods fails build robust interaction between rGO efficiently improve overall anode performance. Here, Cu 2 O/CuO/reduced (Cu O/CuO/rGO) 3D hierarchical nanostructure are synthesized facile,...
The increasing number of applications three-dimensional (3D) tumor spheroids as an in vitro model for drug discovery requires their adaptation to large-scale screening formats every step a screen, including image analysis. Currently there is no ready-to-use and free analysis software meet this format. Most existing methods involve manually drawing the length width imaged 3D spheroids, which tedious time-consuming process. This study presents high-throughput application - SpheroidSizer,...
Abstract Objective In response to COVID-19, the informatics community united aggregate as much clinical data possible characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborative (N3C) is now largest publicly available HIPAA limited dataset in US history with over 6.4 million patients a testament partnership of 100 organizations. Materials Methods We developed pipeline for ingesting, harmonizing, centralizing from 56...
In this work, fluorescent silver nanoparticles with average size of 6 nm were synthesized in an organic phase <italic>via</italic> a facile one-step reaction.
The design and implementation of ImageMiner, a software platform for performing comparative analysis expression patterns in imaged microscopy specimens such as tissue microarrays (TMAs), is described. ImageMiner federated system services that provides reliable set analytical data management capabilities investigative research applications pathology. It library image processing methods, including automated registration, segmentation, feature extraction, classification, all which have been...
Tumor-associated macrophages (TAMs) are closely related to unfavorable prognosis of patients with clear cell renal carcinoma (ccRCC). However, the important molecules in interaction between ccRCC and TAMs unclear.TCGA-KIRC gene expression data tumor tissues normal adjacent were compared identify differentially expressed genes ccRCC. discovered by analyzing correlation these common macrophage biomarkers. Gene set enrichment analysis was performed predict functions gene. The findings further...
Background: The systematic analysis of imaged pathology specimens often results in a vast amount morphological information at both the cellular and sub-cellular scales. While microscopy scanners computerized are capable capturing analyzing data rapidly, image remain underutilized research clinical settings. One major obstacle which tends to reduce wider adoption these new technologies throughout scientific communities is challenge managing, querying, integrating amounts resulting from large...
Leading institutions throughout the country have established Precision Medicine programs to support personalized treatment of patients. A cornerstone for these is establishment enterprise-wide Clinical Data Warehouses. Working shoulder-to-shoulder, a team physicians, systems biologists, engineers, and scientists at Rutgers Cancer Institute New Jersey designed, developed, implemented Warehouse with information originating from data sources, including Electronic Medical Records, Trial...
Abstract A PVDF‐HFP/colloidal‐TiO 2 composite separator is synthesized for high‐temperature lithium‐ion batteries. Incorporation of colloidal TiO in the PVDF‐HFP matrix forms a highly‐uniform micro‐structure with strong adsorption interactions between and due to presence citric acid. The are giving rise advantageous mechanical robustness, separator/electrode interface electrolyte uptake. shows remarkable stability upon thermal treatment at 150 °C. With high ionic conductivity up 1.57×10 −3 S...
Multiple endocrine neoplasia type 1 (MEN1) is a genetic syndrome in which patients develop neuroendocrine tumors (NETs), including pancreatic (PanNETs). The prolonged latency of tumor development MEN1 suggests likelihood that other mutations cooperate with Men1 to induce PanNETs. We propose Pten loss combined accelerates tumorigenesis. To test this, we developed two genetically engineered mouse models (GEMMs)—MPR (Men1flox/flox Ptenflox/flox RIP-Cre) and MPM MIP-Cre) using the Cre-LoxP...