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Topic Review
Computational Health Engineering
Infectious diseases are the primary cause of mortality worldwide. The dangers of infectious disease are compounded with antimicrobial resistance, which remains the greatest concern for human health. Although novel approaches are under investigation, the World Health Organization predicts that by 2050, septicaemia caused by antimicrobial resistant bacteria could result in 10 million deaths per year. One of the main challenges in medical microbiology is to develop novel experimental approaches, which enable a better understanding of bacterial infections and antimicrobial resistance. After the introduction of whole genome sequencing, there was a great improvement in bacterial detection and identification, which also enabled the characterization of virulence factors and antimicrobial resistance genes. Today, the use of in silico experiments jointly with computational and machine learning offer an in depth understanding of systems biology, allowing us to use this knowledge for the prevention, prediction, and control of infectious disease. Herein, the aim of this review is to discuss the latest advances in human health engineering and their applicability in the control of infectious diseases. An in-depth knowledge of host–pathogen–protein interactions, combined with a better understanding of a host's immune response and bacterial fitness, are key determinants for halting infectious diseases and antimicrobial resistance dissemination.
  • 1.0K
  • 05 Mar 2021
Topic Review
MRI function in Bone Microstructure
Bone microarchitecture has been shown to provide useful information regarding the evaluation of skeleton quality with an added value to areal bone mineral density, which can be used for the di-agnosis of several bone diseases. Bone mineral density estimated from dual-energy x-ray absorp-tiometry (DXA) has shown to be a limited tool to identify patients’ risk stratification and therapy delivery. Magnetic resonance imaging (MRI) has been proposed as another technique to assess bone quality and fracture risk by evaluating the bone structure and microarchitecture.
  • 1.0K
  • 15 Mar 2021
Topic Review
Pores in 3D-Printed Scaffolds
Extrusion-based 3D printing technology has become a pivotal approach in tissue engineering, particularly in the fabrication of polymer-based cell-free and cell-laden constructs. Terminology is pivotal for facilitating clear communication and minimizing ambiguity, especially in specialized fields such as chemistry. In materials science, a subset of chemistry, the term “pore” is traditionally linked to the International Union of Pure and Applied Chemistry (IUPAC) nomenclature, which categorizes pores into “micro”, “meso”, and “macro” based on size.
  • 1.0K
  • 28 Feb 2024
Topic Review
Real-World Driver Stress Recognition and Diagnosis
Mental stress is known as a prime factor in road crashes. The devastation of these crashes often results in damage to humans, vehicles, and infrastructure. Likewise, persistent mental stress could lead to the development of mental, cardiovascular, and abdominal disorders. Preceding research in this domain mostly focuses on feature engineering and conventional machine learning approaches.
  • 1.0K
  • 19 Jun 2023
Topic Review
Modeling Immune Checkpoint Inhibitors
Immune checkpoint inhibitors are revolutionizing the treatment of cancer, but models that accurately predict their efficacy before administering them to humans are badly needed.  This entry presents the application of a microfluidic tumor model that simulates the interactions between immune cells and tumors in a dynamic microenvironment, utilizing real-time imaging and image analytic algorithms to demonstrate excellent correlations between the laboratory model and animal studies.  Future applications of the system in precision medicine will explore the use of the device for selecting patient-specific therapies for cancer.
  • 1.0K
  • 26 Oct 2020
Topic Review
Enzymatic Methods for Salivary Biomarkers Detection
A biomarker, also known as a biological marker, is any molecule, substance, or measurable process in the body or in one of its components that can support the diagnosis, prognosis, prediction, or response to the treatment of a disease. Recent technological advances have made it possible to detect and quantify biomarkers in saliva samples. Enzymatic assays as a cost-effective alternative to overcome the limitations of current methods for the quantification of biomarkers in saliva.
  • 1.0K
  • 14 Dec 2021
Topic Review
Breast Cancer Detection
Breast cancer is one the main death causes for women worldwide, as 16% of the diagnosed malignant lesions worldwide are its consequence. In this sense, it is of paramount importance to diagnose these lesions in the earliest stage possible, in order to have the highest chances of survival. While there are several works that present selected topics in this area, none of them present a complete panorama, that is, from the image generation to its interpretation.
  • 1.0K
  • 27 Jul 2022
Topic Review
A Unique Marine-Derived Collagen
To provide the conditions for the mechanical and structural properties needed for the restored tissue and its appropriate functioning, the scaffold requires specific biochemical properties in order to ensure a correct healing process. The scaffold creates a support system and requires a suitable material that will transduce the appropriate signals for the regenerative process to take place. A scaffold composed of material that mimics natural tissue, rather than a synthetic material, will achieve better results.
  • 1.0K
  • 30 Aug 2021
Topic Review
Graphene-Based Biosensors to Detect Dopamine
Parkinson’s disease (PD) is a neurodegenerative disease in which the neurotransmitter dopamine (DA) depletes due to the progressive loss of nigrostriatal neurons. Therefore, DA measurement might be a useful diagnostic tool for targeting the early stages of PD, as well as helping to optimize DA replacement therapy. Moreover, DA sensing appears to be a useful analytical tool in complex biological systems in PD studies. Graphene-based DA sensors are emerging analytical tools for PD diagnostics.
  • 1.0K
  • 04 Nov 2021
Topic Review
Smart Packaging and Returns Assessment System
Medicine waste is a global issue, with economic, environmental, and social consequences that are only predicted to worsen. To address a lack of technological advancements to enable medicine reuse a Smart Packaging and Returns Assessment System (SPaRAS) was proposed to validate the storage conditions and streamline the assessment of returned medicines. The Smart Packaging System (SPS) will record the storage conditions of medication while in patient care. The companion Returns Assessment System (RAS) will efficiently communicate with the SPS through RFID, configure the sensors within the SPS to the needs of its assigned medicine and assess the returns against tailored eligibility criteria. The increased safety and efficiency provided by SPaRAS addresses the concerns of large pharmaceutical companies and the public, offering a method to reuse previously owned medication and reduce the effects of unnecessary medicine waste.
  • 1.0K
  • 26 Jun 2023
Topic Review
Hydrogel-Based Bone-On-Chips
The recent development of bone-on-chips (BOCs) holds the main advantage of requiring a low quantity of cells and material, compared to traditional In Vitro models. By incorporating hydrogels within BOCs, the culture system moved to a three dimensional culture environment for cells which is more representative of bone tissue matrix and function. The fundamental components of hydrogel-based BOCs, namely the cellular sources, the hydrogel and the culture chamber, have been tuned to mimic the hematopoietic niche in the bone aspirate marrow, cancer bone metastasis and osteo/chondrogenic differentiation.
  • 1.0K
  • 19 May 2021
Topic Review
Focused Ultrasound for Atherosclerosis Treatment
Focused ultrasound (FUS) has emerged as a promising noninvasive therapeutic modality for treating atherosclerotic arterial disease. High-intensity focused ultrasound (HIFU), a noninvasive and precise modality that generates high temperatures at specific target sites within tissues, has shown promising results in reducing plaque burden and improving vascular function. While low-intensity focused ultrasound (LIFU) operates at lower energy levels, promoting mild hyperthermia and stimulating tissue repair processes. 
  • 1.0K
  • 07 Sep 2023
Topic Review
Microfluidic-Based Oxygen Sensors
Oxygen (O2) quantification is essential for assessing cell metabolism, and its consumption in cell culture is an important indicator of cell viability. Recent advances in microfluidics have made O2 sensing a crucial feature for organ-on-chip (OOC) devices for various biomedical applications. OOC O2 sensors can be categorized, based on their transducer type, into two main groups, optical and electrochemical.
  • 1.0K
  • 28 Jan 2022
Topic Review
Blood Flow in Microchannels
Blood flow in large arteries or biomedical devices can be treated as a homogenous fluid where its particulate nature can be ignored. However, in reality, blood is a suspension of deformable cells in a viscous fluid plasma. Hence, in microcirculation and microchannels, it is fundamental to take into account the effects of the multiphase properties of the blood and to study the blood flow behaviour at a cellular level. A clear example of the multiphase nature of the blood is the formation of a plasma layer (or cell-free layer) around the walls of the microchannels.
  • 997
  • 30 Mar 2021
Topic Review
Biosensors for Detecting Tumor Markers in Breast Cancer
Breast cancer has the highest cancer incidence rate in women. Tumor markers are a kind of active substance that can indicate the existence and growth of the tumor. The detection of tumor markers can effectively assist the diagnosis and treatment of breast cancer. The conventional detection methods of tumor markers have some shortcomings, such as insufficient sensitivity, expensive equipment, and complicated operations. Compared with these methods, biosensors have the advantages of high sensitivity, simple operation, low equipment cost, and can quantitatively detect all kinds of tumor markers. 
  • 997
  • 08 Mar 2022
Topic Review
Tongue Contour Tracking Techniques in Ultrasound Images
Lingual ultrasound imaging is essential in linguistic research and speech recognition. It has been used widely in different applications as visual feedback to enhance language learning for non-native speakers, study speech-related disorders and remediation, articulation research and analysis, swallowing study, tongue 3D modelling, and silent speech interface. Tongue tracking using machine learning-based techniques is superior to traditional techniques, considering the performance and algorithm generalization ability. Meanwhile, traditional techniques are helpful for implementing interactive image segmentation to extract valuable features during training and postprocessing. 
  • 994
  • 08 Dec 2022
Topic Review
DSResSol
Protein solubility is an important thermodynamic parameter that is critical for the characterization of a protein’s function, and a key determinant for the production yield of a protein in both the research setting and within industrial (e.g., pharmaceutical) applications. Experimental approaches to predict protein solubility are costly, time-consuming, and frequently offer only low success rates. To reduce cost and expedite the development of therapeutic and industrially relevant proteins, a highly accurate computational tool for predicting protein solubility from protein sequence is sought. While a number of in silico prediction tools exist, they suffer from relatively low prediction accuracy, bias toward the soluble proteins, and limited applicability for various classes of proteins. In this study, researchers developed a novel deep learning sequence-based solubility predictor, DSResSol, that takes advantage of the integration of squeeze excitation residual networks with dilated convolutional neural networks and outperforms all existing protein solubility prediction models. This model captures the frequently occurring amino acid k-mers and their local and global interactions and highlights the importance of identifying long-range interaction information between amino acid k-mers to achieve improved accuracy, using only protein sequence as input. DSResSol outperforms all available sequence-based solubility predictors by at least 5% in terms of accuracy when evaluated by two different independent test sets. Compared to existing predictors, DSResSol not only reduces prediction bias for insoluble proteins but also predicts soluble proteins within the test sets with an accuracy that is at least 13% higher than existing models. Researchers derive the key amino acids, dipeptides, and tripeptides contributing to protein solubility, identifying glutamic acid and serine as critical amino acids for protein solubility prediction. Overall, DSResSol can be used for the fast, reliable, and inexpensive prediction of a protein’s solubility to guide experimental design.
  • 992
  • 14 Jan 2022
Topic Review
Biomimetic Olfactory and Gustatory Biosensors
The biomimetic olfactory and gustatory biosensing devices have broad applications in many fields, such as industry, security, and biomedicine. The development of these biosensors was inspired by the organization of biological olfactory and gustatory systems.
  • 991
  • 14 Nov 2022
Topic Review
Myocardial Radiofrequency Ablation Temperature Monitoring
Myocardial catheter-mediated radiofrequency ablation (RFA) is a minimally invasive technique which exploits high-frequency alternating electrical current to induce irreversible damage in selected myocardial districts through hyperthermia. (RFA) has received substantial attention for the treatment of multiple arrhythmias. In this scenario, there is an ever-growing demand for monitoring the temperature trend inside the tissue as it may allow an accurate control of the treatment effects, with a consequent improvement of the clinical outcomes. There are many methods for monitoring temperature in tissues undergoing RFA, which can be divided as invasive and non-invasive. 
  • 989
  • 10 Jun 2021
Topic Review
Ultrasound Image Analysis with Vision Transformers
Ultrasound (US) has become a widely used imaging modality in clinical practice, characterized by its rapidly evolving technology, advantages, and unique challenges, such as a low imaging quality and high variability. There is a need to develop advanced automatic US image analysis methods to enhance its diagnostic accuracy and objectivity. Vision transformers, a recent innovation in machine learning, have demonstrated significant potential in various research fields, including general image analysis and computer vision, due to their capacity to process large datasets and learn complex patterns. Their suitability for automatic US image analysis tasks, such as classification, detection, and segmentation, has been recognized. 
  • 988
  • 13 Mar 2024
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