With the development of 3D printing technologies, cellulose has been explored to realize its sophisticated geometry fabrication in this field for a variety of applications. This review focuses specifically on the latest research progress of 3D printing cellulose by discussing the characteristics of cellulose materials, different 3D printing technologies, and their optimal performance for applications in various fields like biomedicine, food packaging, and tissue engineering. The challenges of preparing 3D printing "ink" of cellulose using dissolved cellulose or nanocellulose are introduced. Finally, the corresponding applications of cellulose using 3D printing are classified and the strategies to optimize production performance are provided.

Brain diseases, including psychosis, neurological disorders, strokes, etc., account for more than 15% of all global health damage, which is higher than that caused by cancer and cardiovascular diseases. Brain health and the treatment of brain diseases have become major challenges of the 21st century. The past few decades have witnessed a series of significant advances in human brain science research. The pathogenesis of brain diseases at the molecular and genetic level is being revealed, indicating promising outcomes. However, the existence of the blood-brain barrier (BBB) significantly impedes the delivery of drugs and genes to the brain, which seriously hinders the treatment of brain diseases. This review article provides a brief overview of the concept and history of the BBB. We focus on the critical obstacles and solutions of different kinds of therapeutics, including small molecule drugs, peptides, proteins, and genes, to break through the BBB. Delivery mechanisms, strategies, and vehicles are summarized. Recent advances and efforts in drug delivery studies that aim to overcome the BBB will greatly facilitate the development of brain disease treatment.

This mini-review explores advancements in the synthesis of nano-carrier-based drug delivery systems using microfluidic chip technology and their evaluation using tumor organ-on-a-chip models. We discuss the principles and advantages of hydrodynamic fluid focusing (HFF) and micromixer for synthesizing polymeric nano-carriers, highlighting their ability to precisely control particle size, shape, and surface properties. The functionalization of nano-carriers for targeted drug delivery is also explored, emphasizing the potential for personalized medicine. The review emphasizes the use of tumor organ-on-a-chip models for evaluating nano-carrier-based drug delivery systems, highlighting their ability to simulate physiological environments and provide dynamic and controllable evaluation platforms. This approach holds great promise for enhancing our understanding of drug behaviors and accelerating the translation of nanomedicines from bench to bedside.

Nanoscience and nanotechnology have steered in the new era of medical innovation and offered a promising solution to the longstanding challenges in the healthcare due to size dependent physicochemical properties. The ability to engineer the specific nanostructures makes the nanomaterials more attractive and find potential applications in the field of biomedical sciences. Among various noble metal nanomaterials, copper and copper-based nanomaterials are considered as a unique nanomaterial for multitude of the biomedical applications. Plant biomolecules contain various terpenoids, alkaloids, flavonoids, flavones, proteins, polyphenols, saponins, tannins, steroids, as well as other nutritional compounds; which are capable of acting as reducing and capping agents for copper-based nanomaterials formation. Biosynthesis of copper-based nanomaterials has great advantages due to less-toxicity, biocompatible, antiviral or anti-bacterial properties for the development of bio-sensor or drug delivery application. In this mini-review, the biosensor and drug delivery potential of the copper-based functional nano-formulation are discussed.

A large amount of medical equipment is now extensively utilized in healthcare institutions to assist clinical practitioners in the diagnosis and treatment of diseases. And the applications of such advanced and sophisticated medical equipment have greatly improved the quality of patient care, significantly alleviated the sufferings of patients, and facilitated their rehabilitation. Nevertheless, failures and malfunctions of medical equipment have compromised its reliability and effectiveness as well as jeopardizing the safety of patients and clinical staffs. And a majority of the failures can be attributed to the insufficient and inappropriate maintenance. Therefore, it is imperative to implement effective maintenance management to ensure that medical equipment is in its optimal function, and thereby mitigating the clinical risk resulted by adverse events. The presented review mainly discussed the maintenance strategies of medical equipment including corrective maintenance, preventive maintenance and predictive maintenance. In order to replace the fixed-interval of preventive maintenance, we systematically discussed methods to adjust the maintenance period. Additionally, two strategies to predicting future failures of medical equipment through processing and analyzing the maintenance data obtained from the historical maintenance logs and condition data collected by the embedded sensors are elaborated. Besides, the classification and life cycle of medical equipment are also summarized.

Due to imaging sensors' constraints, it is difficult to acquire a medical image that subsequently incorporates functional metabolic data and anatomical tissue characteristics. An important tool to aid in diagnostic procedures and intra-operative management is multimodal medical image fusion, an efficient method to combine the supplemental information gathered from numerous modalities. This research proposes a unique fusion approach for multimodal medical images that makes use of mean filter and maximum symmetric surround saliency detection. First, the images to be fused are decomposed into base layer and a series of detail layers via mean filter. While the guided filtering based fusion rule is used to merge the detail layers, for the fusion of base layer, a linear summation is employed. The fused base and detail images are subsequently combined to construct the final fused image. The proposed medical image fusion method performed more effectively than existing cutting-edge approaches in the context of both visual appearance and quantitative assessment, according to careful evaluation on a widely used database. The proposed method overcomes the challenge of cutting-edge image fusion methods in maintaining substantial edges and energy information on multi-modal medical images.

Peptic ulcer is a common disease with a high clinical incidence and frequent recurrences. The well-characterized galactomannan-type polysaccharide, extracted from Cassia grandis seeds, can accelerate the stages of wound healing and improve the remodeling of the extracellular matrix of injured tissues; this way, the gastroprotective potential of the galactomannan was proposed to be evaluated in the treatment of rat peptic ulcers induced by ethanol. Galactomannan was extracted by ethanol precipitation and prepared at 0.1, 1.0, and 10 mg/kg concentrations. Male Wistar rats were randomly divided into groups (n = 5) and orally treated with saline (negative control, NC), galactomannan at 0.1 mg/Kg (G0.1), galactomannan at 1.0 mg/Kg (G1), galactomannan at 10 mg/Kg (G10), and lansoprazole 30 mg/Kg (positive control, CP). Ethanol (1 mL/100 g of body mass) was administered 1 h after the treatments and, after another hour, the animals were euthanized. The stomachs were removed, fixed between Petri dishes, and photographed to calculate the percentage of the injured regions by computerized software. Histological analysis and the quantification of lipid peroxidation and reduced glutathione (GSH) were also performed. G1 and G10 reduced the injured area (P < 0.001) by 40 and 36%, respectively, concerning NC. It was observed the preservation of the gastric mucosa in all of the animals treated with galactomannan, in addition to reduced (P < 0.001) lipid peroxidation and GSH levels higher (P < 0.05) than NC. The galactomannan extracted from C. grandis seeds showed gastroprotective activity at 1.0 and 10 mg/kg by reducing the area of ulceration and oxidative stress.

The spike protein (S-protein) of SARS-CoV-2 plays an important role in binding, fusion, and host entry. In this study, we have predicted interatomic bond strength between receptor binding domain (RBD) and angiotensin converting enzyme-2 (ACE2) using machine learning (ML), that matches with expensive ab initio calculation result. We collected bond order result from ab initio calculations. We selected a total of 18 variables such as bond type, bond length, elements and their coordinates, and others, to train ML models. We then trained five well-known regression models, namely, Decision Tree regression, KNN Regression, XGBoost, Lasso Regression, and Ridge Regression. We tested these models on two different datasets, namely, Wild type (WT) and Omicron variant (OV). In the first setting, we used 90% of each dataset for training and 10% for testing to predict the bond order. XGBoost model outperformed all the other models in the prediction of the WT dataset. It achieved an R2 Score of 0.997. XGBoost also outperformed all the other models with an R2 score of 0.9998 in the prediction of the OV dataset. In the second setting, we trained all the models on the WT (or OV) dataset and predicted the bond order on the OV (or WT) dataset. Interestingly, Decision Tree outperformed all the other models in both cases. It achieved an R2 score of 0.997.

Biodegradable pH-responsive hydrogels have become a powerful tool in medicine for synthesizing wound dressings and drug delivery applications. The current study focuses on the development of crosslinked semi-interpenetrating polymer networks of chitosan/poly(ethylene glycol)/3-glycidyloxypropyltrimethoxy silane (GPTMS) blends containing honey and aloe vera gel. All hydrogels were prepared by physical blending and solution casting methods. Fourier transform infrared (FTIR) spectroscopy was performed to analyse the developed interactions among the polymers and crosslinker. To check the thermal behaviour and crosslinking density of all hydrogel matrixes, thermogravimetric analysis (TGA) was done. The effects of the crosslinker concentration on the swelling trend of all hydrogels were investigated against distilled water and buffers of varying pH. The hydrogel was found thermally stable with enhanced swelling rate, good moisture capability, and pH responsiveness. These properties and the material's cost-effectiveness suggest that the fabricated blend hydrogels can be suitable for wound dressing and other biomedical applications.

The demand for advanced cosmetics needed for remodeling to enhance beauty and fashion is on the increase in modern times. Also, some of the major parts of the human head that bring about great discomfort in the human body if not put in proper conditions are the teeth, nose, ears, and eyes. Among these parts, the teeth are highly susceptible to serious attack and damage at various stages of life. To date, pleasurable feeding would be practically impossible for humans without the aid of teeth that are responsible for cutting and chewing. However, as with other parts of the human body, there are always issues affecting the maxillofacial prosthesis and teeth, which are usually the result of aging, accidents, or diseases. These issues influence the rising need for the replacement of maxillofacial and dental bones with different materials that are developed to meet the structural and biocompatibility needs. Facial and dental implantations have brought about many modifications to human appearance in recent times. The implants are expected to be safe and acceptable to the body system as the patient grows since growth is crucial to human existence. As, growth is a function of the age group in human beings and, the three major age groups respond to growth at different rates. Thus, this review considers the influence of the human age group on maxillofacial and dental implants. The review provides an insight to the demand from each age group and the necessary guides on the selection of appropriate biomaterials as well as future expectations for maxillofacial and dental bones. This is essential because adequate knowledge of the age group of the patients who need maxillofacial and dental bones demands accurate prescriptions.

The success of dental operations with the use of implants mostly depends on the properties of the implant materials and their compatibility with the tissues of the human body. A number of physical compatibility criteria are known, which include biological stability, biocorrosion resistance, chemical stability, antimicrobial resistance, so an in-depth study of these criteria is relevant. Among the used implants, dielectric materials of natural and synthetic origin make up a large share. The peculiarity of such materials, in contrast to metal ones, is the ability to form, at a human body temperature of 310 K, low-intensity electromagnetic radiation (EMR) of the microwave range, which interacts with the biotissue adjacent to the implant. Such EMR exerts an influence at the cellular level too. This effect of EMRin fact has not been investigated. The article discusses the physical basis of the formation of positive ("+") and negative ("-") microwave radiation flows that occur between the implant and the adjacent biotissue. By using a highly sensitive radiometric system, an experimental study of the radiation properties of the most used implant materials contacting with human body tissues was carried out. In the course of the research the levels of inherent radiation of a number of dental materials were determined, the calculation and evaluation of the coefficients of their radiation capacity was carried out. Comparing the radiation capacity of contacting dental materials with the level of radiation of the human body tissues made it possible to determine the level of their electromagnetic compatibility. Recommendations for the selection of the most used contacting dental materials based on the criterion of electromagnetic compatibility have been developed.

Facial palsy, or weakness of the facial muscles, arises from injury to the facial nerve and can lead to debilitating morbidity by affecting facial expression, speech, and daily activities. Playing a wind instrument, such as the saxophone, requires formation of an airtight seal with the instrument's mouthpiece through a coordinated effort of facial muscles known as embouchure. Consequently, facial palsy can impair a musician's ability to play a wind instrument. To address this functional disability, we present a novel three dimensional (3D) printed embouchure-assistive device designed for application in saxophone players with facial palsy. Quantitative and qualitative metrics were recorded, demonstrating improved duration of note sustain, increased mean air pressure within the mouthpiece during play, and subjectively improved patient comfort and overall tone quality with use of the device. We also include design iterations of the prototype device as they may serve as a template for broader applications in musicians with facial palsy.

Integration of inorganic fillers with polymer matrices opens up exciting possibilities for creating high-performance functional materials. Metal/metal oxides/silsesquioxanes as nanofillers are gaining attention for enhancing polymer matrices. Understanding the dispersion and interaction of these nanofillers is crucial for modifying properties in technological applications. Homogeneously dispersed fillers boost physiochemical and biological properties, like mechanical strength and biocompatibility. These functional materials are employed in tissue engineering and other healthcare applications, maintaining their characteristics even in challenging conditions. In the biomedical field, these fillers show promise in developing stimuli-responsive systems, drug delivery, gene vectors, and biological imaging.

In the last few years, a renewed interest has been devoted to the origin of life. Nucleic acids have a central role in biogenesis and prebiotic synthesis of ribose, purines and pyrimidines has been described. Particularly attractive is the idea that life on Earth was first founded on simple and autocatalytic RNA molecules (RNA world). RNA duplexes are formed by helical and antiparallel chains, but the rationale for these features is not yet known. An inverted (antiparallel) stacking of purine rings from guanosine and other nucleosides has been found in crystallographic studies. Molecular modeling also supports an inverted conformation, and this preferential stacking occurs when they are aggregated within a clay (montmorillonite) matrix, which is confirmed by spectral studies. Thus, crystallography, spectroscopy and molecular modeling allow proposing a "zipper" model in which antiparallel nucleosides stack within the clay matrix, and then high-energy polyphosphates form auto-intercalated single RNA chains. Unstacking and strand separation result in the shortening and inclination of the ribose-phosphate chains, leading to helicity, antiparallelism and base pairing by H-bonding, with formation of typical RNA structures such as hairpins, cloverleaves, hammerheads, dumbbells, circular viroids and virusoids. A "tetris" model for the prebiotic self-replication mechanism of these simple RNA duplexes, involving the formation of an RNA tetraplex, is also proposed.

Metabolic syndrome (MetS) is a complex disorder characterized by a set of interrelated metabolic abnormalities, such as central obesity, hypertension, dyslipidemia, and insulin resistance. It constitutes a major public health problem worldwide due to its association with an increased risk of cardiovascular disease, type 2 diabetes mellitus (T2DM) and other chronic diseases. Biomedical engineering (BME), through its interdisciplinary nature, has contributed significantly to the understanding, diagnosis, and treatment of MetS. The aim of this review article is to provide a comprehensive overview of the current state of research and advances in BME approaches to the study and management of MetS. The article will delve into diverse approaches, including computational and omics models, that have been used to improve our understanding of MetS. In addition, it will provide an overview of specialized devices that have been designed for the non-invasive assessment of individuals with MetS.

Amino acids (AAs) are the basic building blocks of proteins and regulate the body's metabolism. The mechanical properties of proteins play an essential role in their functionalities in addition to their structure and dynamic properties. They are paramount in understanding the flexibility, rigidity, and ability to resist deformation. It is critical to investigate the mechanical properties of the twenty standard AAs that comprise the protein. Herein, we have developed a computational approach based on a detailed ab initio quantum mechanical method based on density functional theory that can calculate the mechanical properties of strategically designed models of solvated AAs. This de novo approach has been applied to twenty standard amino acids as the first step towards exploring the mechanical properties of super-soft biomolecular systems. The calculated properties include the Young's modulus, shear modulus, bulk modulus, and Poisson's ratio under different strains. We have identified AAs with relatively higher/lower compressibility, rigidity, flexibility, stretchability, and hardness based on their mechanical properties. Our findings are valuable as the starting point for future studies on large peptides or small proteins.

Photoacoustic imaging (PAI) is a rapidly growing biomedical imaging technique that combines the advantages of optical and acoustic imaging. This technique utilizes pulsed laser light to generate acoustic waves in biological tissue, which are then detected and used to create high-resolution images of tissue structure and function. PAI has several advantages over other imaging modalities, including its ability to provide functional information about tissue properties such as blood oxygenation and blood flow, as well as its ability to image tissue at greater depths than many other techniques. However, there are also challenges associated with PAI, including the need for specialized equipment and concerns regarding the potential for tissue damage due to laser exposure. Despite these challenges, PAI is a promising technique with many potential applications in biomedical research and clinical practice, and ongoing research in this area is likely to yield further advances in the coming years.

The spine is a critical component of the human body, supporting balance, flexibility, and natural movement. However, scoliosis, a condition where the curvature of the spine exceeds 10 degrees, can lead to health complications. In this research, we designed and three dimensional (3D) printed a customized orthosis using the Blender program, supported by ultrasound sensors controlled by an Arduino UNO circuit. Our innovative approach aims to accelerate healing and alleviate pain in patients with scoliosis. This study serves as a starting point for the development of research in the orthotic treatment of scoliosis of the spine by integrating two treatment techniques at the same time. Our ultrasound-reinforced orthosis represents a significant advancement in spinal care, offering a promising solution for scoliosis treatment.