340 Result(s)
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Chapter
**na Hong
Biomedicine
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Technologies for Visualization and Tracking of Extracellular Vesicles
Extracellular vesicles (EVs) are intercellular communicators that can deliver important biological molecules to recipient cells to participate in the regulation of pathophysiological processes. In recent years...
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Proposal Writing for Grant Application in Malaysia
This chapter was prepared based on the Twelfth Malaysia Plan (12MP) and existing grant facilities from the Ministry of Health (MOH), Ministry of Science, Technology, and Innovation (MOSTI), and Ministry of Hig...
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Role of Hypoxia and Reactive Oxygen Species in Cancer Biology
Cancer is a critical community health problem. In the future, it is foreseen that there will be more aged people with more diseases, especially diseases like cancer. The critical roles of hypoxia and reactive ...
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Biomarkers in Substance Use Disorder
This chapter will focus on progress in biomarker identification for substance use disorders (SUD) and will review the following major classes of abused drugs: nicotine, alcohol, psychostimulants, and opioids. ...
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Mechanisms of Vascular CaV1.2 Channel Regulation During Diabetic Hyperglycemia
Diabetes is a leading cause of disability and mortality worldwide. A major underlying factor in diabetes is the excessive glucose levels in the bloodstream (e.g., hyperglycemia). Vascular complications directl...
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ED Profiler: Machine Learning Tool for Screening Potential Endocrine-Disrupting Chemicals
Endocrine-disrupting chemicals (EDCs) could evoke untold endocrine-related detrimental effects on humans and wildlife. To minimize the potential deleterious effects of EDCs on the endocrine system of living or...
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Advanced 3D Visualization and 3D Printing in Radiology
Since the discovery of X-rays in 1895, medical imaging systems have played a crucial role in medicine by permitting the visualization of internal structures and understanding the function of organ systems. Tra...
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Mold2 Descriptors Facilitate Development of Machine Learning and Deep Learning Models for Predicting Toxicity of Chemicals
Numerical description of chemical structures is necessary for development of machine learning and deep learning models for predicting the potential toxicity of chemicals. Mold2 is a software tool developed in ...
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Interactions of Biomaterial Surfaces with Proteins and Cells
The interactions of material surfaces with proteins and cells play a vital role in various biological phenomena and determine the ultimate biofunctionality of a given material in contact with a given biologica...
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Machine Learning and Deep Learning Promote Computational Toxicology for Risk Assessment of Chemicals
In order to advance the field of computational toxicology forward, it is vital to leverage new machine learning and deep learning algorithms. Historically, these algorithms were limited to fields with larger d...
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Machine Learning for Predicting Organ Toxicity
Organ toxicity is a leading concern in safety assessment for regulatory agencies and pharmaceutical companies. Due to the huge amount of compounds and the limitation in animal toxicity testing, alternative and...
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Immunobiology and Host Response to HEV
Hepatitis E virus (HEV) usually causes acute self-limiting hepatitis but sometimes leads to chronic infection in immunocompromised persons. HEV is not directly cytopathic. Immunologically mediated events after HE...
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Machine Learning for Predicting Gas Adsorption Capacities of Metal Organic Framework
Metal organic frameworks (MOFs) have been widely used in gas adsorption-based applications due to their high porosities and modification in chemical and physical properties. There are many MOFs available for a...
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Quantitative Target-specific Toxicity Prediction Modeling (QTTPM): Coupling Machine Learning with Dynamic Protein–Ligand Interaction Descriptors (DyPLIDs) to Predict Androgen Receptor-mediated Toxicity
Ligand-based quantitative structure–activity relationship modeling often lacks the dynamic and mechanistic insights of target–chemical interactions. Here we proposed a new concept of dynamic protein–ligand int...
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An Amalgamation of Blockchain and Connected Health for Combating COVID-19
The coronavirus disease created an unprecedented stress around the world. Because resources became severely constrained, especially during the , approaches to increase supply took center stage. The ...
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Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals
Hepatotoxicity presents a significant challenge for drug development and regulatory science. Despite many efforts to eliminate drugs as hepatotoxic before they are tested in humans, hepatotoxic drugs often esc...
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Impact of Obesity and Related Factors in Breast Cancer Survivorship Among Hispanic Women
Breast cancer is the leading cause of death among Hispanic women. The number of Hispanic breast cancer survivors is increasing because the US Hispanic population is fast-growing and breast cancer survival is i...
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Reflections and Outlook on Multifaceted Biomedical Applications of Graphene
Two-dimensional nanomaterials have been widely explored by researchers due to their nanosized thickness and quantum size effect. They were layered double hydroxides, transition metal dichalcogenides, transitio...
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Chapter and Conference Paper
Generation of Gut Motor Patterns Through Interactions Between Interstitial Cells of Cajal and the Intrinsic and Extrinsic Autonomic Nervous Systems
The musculature of the gastrointestinal tract is a vast network of collaborating excitable cell types. Embedded throughout are the interstitial cells of Cajal (ICC) intertwined with enteric nerves. ICC sense e...
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Supine OPM-MEG in Multilayer Cylindrical Shield
Recent development of compact optically pumped magnetometer (OPM) operating in room temperature has offered a new way for magnetoencephalography (MEG). Traditional MEG and most of current OPM-MEG studies are c...
