A5061951336- Genetic Associations and Epidemiology
- Bioinformatics and Genomic Networks
- Nutrition, Genetics, and Disease
- Single-cell and spatial transcriptomics
- Machine Learning in Bioinformatics
- Molecular Biology Techniques and Applications
- Protein Structure and Dynamics
- Computational Drug Discovery Methods
- 3D Printing in Biomedical Research
- Bone Tissue Engineering Materials
- Spine and Intervertebral Disc Pathology
- Gene expression and cancer classification
- Spaceflight effects on biology
- Folate and B Vitamins Research
- Health Systems, Economic Evaluations, Quality of Life
- Optical and Acousto-Optic Technologies
- Immune cells in cancer
- Congenital heart defects research
- Face and Expression Recognition
- Photonic and Optical Devices
- Metabolomics and Mass Spectrometry Studies
- Connective Tissue Growth Factor Research
- Musculoskeletal pain and rehabilitation
- Graphene and Nanomaterials Applications
- Advanced Photonic Communication Systems
Northwestern University
2021-2024
Joachim Herz Stiftung
2022-2023
Stavros Niarchos Foundation
2022-2023
University of Hong Kong
2015-2021
Central South University
2021
Nuclear morphology, which modulates chromatin architecture, plays a critical role in regulating gene expression and cell functions. While most research has focused on the direct effects of nuclear morphology fate, its impact secretome surrounding cells remains largely unexplored, yet is especially crucial for cell-based therapies. In this study, we fabricated implants with micropillar topography using methacrylated poly(octamethylene citrate)/hydroxyapatite (mPOC/HA) composites to...
Approaches to regenerating bone often rely on integrating biomaterials and biological signals in the form of cells or cytokines. However, from a translational point view, these approaches are challenging due sourcing quality biologic, unpredictable immune responses, complex regulatory paths, high costs. We describe simple manufacturing process material-centric 3D-printed composite scaffold system (CSS) that offers distinct advantages for clinical translation. The CSS comprises porous...
Essential proteins are considered the foundation of life as they indispensable for survival living organisms. Computational methods essential protein discovery provide a fast way to identify proteins. But most them heavily rely on various biological information, especially protein-protein interaction networks, which limits their practical applications. With rapid development high-throughput sequencing technology, data has become accessible data. However, using only sequence information...
Abstract Spatial transcriptomics provides researchers with a better understanding of gene expression within the tissue context. Although large volumes spatial data have been generated, lack systematic curation and analysis makes reuse challenging. Herein, we present transcriptOmics Analysis Resource (SOAR), resource an extensive, systematically compiled collection across tissues, organs, pathological conditions. SOAR is comprehensive database uniformly processed annotated samples,...
ABSTRACT Construction of multifactorial disease models from epidemiological findings and their application to pedigrees for risk prediction is nontrivial all but the simplest cases. Multifactorial Disease Risk Calculator a web tool facilitating this. It provides user‐friendly interface, extending reported methodology based on liability‐threshold model. incorporating following features in combination are handled: quantitative factors (including polygenic scores), categorical major genetic...
Data fusion is an important way to realize powerful and generalizable analyses across multiple sources. However, different capability of data collection the sources has become a prominent issue in practice. This could result blockwise missingness (BM) covariates troublesome for integration. Meanwhile, high cost obtaining gold-standard labels can cause response on large proportion samples, known as semi-supervised (SS) problem. In this paper, we consider challenging scenario confronting both...
Acousto-optical modulation (AOM) is a powerful and widely used technique for rapidly controlling the frequency, phase, intensity, direction of light. Based on Bragg diffraction, AOMs typically exhibit moderate diffraction efficiency, often less than 90\% even collimated inputs. In this work, we demonstrate that efficiency can be significantly improved using composite (CP) setup comprising pair 4-F-linked AOMs, enabling 2-by-2 beamsplitting with fully tunable splitting amplitude phase. The...
Hypertension is the leading global cause of cardiovascular disease and premature death. Distinct hypertension subtypes may vary in their prognoses require different treatments. An individual's risk for determined by genetic environmental factors as well interactions. In this work, we studied 911 African Americans 1,171 European Genetic Epidemiology Network (HyperGEN) cohort. We built subtype classification models using both variables sets features selected based on criteria. The fitted...
Hypertension is the leading global cause of cardiovascular disease and premature death. Distinct hypertension subtypes may vary in their prognoses require different treatments. An individual's risk for determined by genetic environmental factors as well interactions. In this work, we studied 911 African Americans 1,171 European Genetic Epidemiology Network (HyperGEN) cohort. We built subtype classification models using both variables sets features selected based on criteria. The fitted...