{"title":"Design of polysaccharide gum based network copolymeric hydrogels for drug delivery and wound dressing applications","authors":"Baljit Singh, Rajender Kumar, Sushil Kumar, Nistha Thakur, Kaka Ram","doi":"10.1016/j.medntd.2023.100262","DOIUrl":"https://doi.org/10.1016/j.medntd.2023.100262","url":null,"abstract":"<div><p>This article deals with the exploration of the design of network crosslinked structure by covalent bonding for use as wound dressing materials keeping in view inherent therapeutic role of neem gum in wound healing. These copolymeric hydrogels were prepared by graft-copolymerization reaction of carbopol and poly (<em>N</em>-vinylpyrrolidone) (poly (NVP). Antibiotic drug levofloxacin was encapsulated in dressings for better wound healing. The scanning electron microscopy (SEM), atomic force microscopy (AFM), Fourier transform infrared (FTIR) spectroscopy, <sup>13</sup>C nuclear magnetic resonance (NMR) spectroscopy, X-ray diffraction (XRD), thermogravimetric analysis (TGA), differential thermal gravimetry (DTG), and differential scanning calorimetry (DSC) techniques were applied for characterization. NMR and FTIR demonstrated incorporation of carbapol and poly (NVP) in dressings. XRD indicated amorphous state in copolymeric dressings. Interactions of copolymers with drug, blood and bio membrane were studied to evaluate biomedical properties which revealed controlled release of drug from hydrogel dressings which were possessing blood-compatible (haemolytic value = 2.45 ± 0.82) and mucoadhesive (detachment force = 124 ± 41 mN) properties. Dressings were permeable to O<sub>2</sub> and H<sub>2</sub>O vapour and absorbed 6.68 ± 0.62 g/g wound fluid which is ideal dressing characteristic. Diffusion mechanism type of drug levofloxacin was Fickian with kinetic model First order. These properties suggested use of hydrogel material for wound dressing and drug delivery applications for better wound care management.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"20 ","pages":"Article 100262"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50175610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A review of surface electromyography applications for the jaw muscles characterization in rehabilitation and disorders diagnosis","authors":"Marzieh Allami Sanjani , Ehsan Tahami , Gelareh Veisi","doi":"10.1016/j.medntd.2023.100261","DOIUrl":"https://doi.org/10.1016/j.medntd.2023.100261","url":null,"abstract":"<div><p>Surface electromyography (EMG) is valuable information instrumentation for understanding the electrical activity of muscles. The function and role of the maxillofacial components are critical in daily life and health. This review aims to investigate the position of EMG recorded in the maxillofacial region in diagnostic and rehabilitation studies. In this study, the primary focus is on how to use EMG of the maxillofacial in diagnostic and rehabilitation applications and finding the requirements, needs, challenges, and opportunities ahead. As a result, the study indicated that the maxillofacial EMG is the basis for solving a wide range of practical issues associated with diagnosing disorders and their treatment, and there is a need for standardization and communication between these two applications.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"20 ","pages":"Article 100261"},"PeriodicalIF":0.0,"publicationDate":"2023-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50175608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Binding kinetics of ten small-molecule drug candidates on SARS-CoV-2 3CLpro revealed by biomolecular simulations","authors":"Yifei Zhou, Xubo Lin","doi":"10.1016/j.medntd.2023.100257","DOIUrl":"10.1016/j.medntd.2023.100257","url":null,"abstract":"<div><p>3CL protease (3CLpro) is the main protease (Mpro) found in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which cuts the coronavirus polyprotein at eleven conserved sites and is essential for the virus replication. Therefore, 3CLpro has been widely used as a promising drug target. Many small-molecule drug candidates targeting 3CLpro have been proposed to inhibit the virus replication. In this work, we aim to reveal detailed interactions between ten small candidate molecules with extensive attention and 3CLpro using molecular docking and molecular dynamics simulations. First, we identified the possible binding sites of these candidate molecules on 3CLpro via molecular docking. Then, a series of 100 ns all-atom molecular dynamics simulations of strongest binding modes were performed to further evaluate the dynamical interactions between the molecules and 3CLpro in detail. Last, the binding free energy of these molecules on 3CLpro was calculated using MM/PBSA calculation, where the contribution of key amino acids was highlighted. The binding kinetics revealed in this work may provide useful insights into the action mechanism and applicability of these small-molecule drug candidates.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"20 ","pages":"Article 100257"},"PeriodicalIF":0.0,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42570454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recent advancements on novel approaches of insulin delivery","authors":"Sandip Karmakar , Manas Bhowmik , Bibek Laha , Sreejan Manna","doi":"10.1016/j.medntd.2023.100253","DOIUrl":"10.1016/j.medntd.2023.100253","url":null,"abstract":"<div><p>A large number of populations are living with diabetes, which is the most common endocrine disorder which is classified into Type-I and Type-II diabetes. Diabetes is one of the listed diseases specified in Section 3 of the Drug and Magic Remedies Act, 1954, where advertisement of drugs for certain diseases has been prohibited. It can be managed or controlled with proper diagnosis and treatment and by changing food habits. In addition to therapy with oral hypoglycemic agents, patients are also given subcutaneous insulin injections which is traditionally used in diabetes therapy. This multi-dose injectable therapy has relatively low patient compliance. To avoid the associated drawbacks with this therapy, several other delivery techniques, including oral, buccal, rectal, transdermal and pulmonary routes were investigated for effective insulin delivery. Several novel techniques along with novel devices are discussed in this review. The recent development in insulin delivery and products going through various phases of clinical trials are focused here. This review enumerates how the investigation, recent technology, and developments in research played a pivotal role in the treatment of diabetes in near future with alternative, safe, and efficient insulin delivery.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"19 ","pages":"Article 100253"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46666428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bochun Mao , Yajing Tian , Chengxin Wang , Dawei Liu , Yanheng Zhou , Jing Li
{"title":"The application of optimization design in stomatology: A literature review","authors":"Bochun Mao , Yajing Tian , Chengxin Wang , Dawei Liu , Yanheng Zhou , Jing Li","doi":"10.1016/j.medntd.2023.100252","DOIUrl":"10.1016/j.medntd.2023.100252","url":null,"abstract":"<div><p>This literature review aims to determine the applications of optimization design in the field of stomatology, to investigate its current usages, methods and benefits. This review was performed following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. The electronic literature search was performed through MEDLINE, Scopus, Web of Science databases with a 10-year time restriction: January 2012 till April 2022. Abundant studies focused on optimization design of dental implants, maxillofacial surgery fixation plates or implants, prosthodontics were published. Shape optimization has been commonly used in implant prostheses, and various studies have proved it to be an effective method to improve initial stability and reduce maximum stress. Shape optimization and topology optimization have been widely used in maxillofacial surgery to reduce strain, volume, and weight of internal fixation plates or bone block implants. The lack of further in vivo and in invitro tests is one of the main limitations of current published studies.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"19 ","pages":"Article 100252"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42390378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muzaffar khan , Bikesh Kumar Singh , Neelamshobha Nirala
{"title":"Expert diagnostic system for detection of hypertension and diabetes mellitus using discrete wavelet decomposition of photoplethysmogram signal and machine learning technique","authors":"Muzaffar khan , Bikesh Kumar Singh , Neelamshobha Nirala","doi":"10.1016/j.medntd.2023.100251","DOIUrl":"10.1016/j.medntd.2023.100251","url":null,"abstract":"<div><p>Hypertension is a leading risk factor for cardiovascular disease (CVD) and the overlap of diabetes mellitus (DM) with hypertension can lead to severe complications. There is a need for early diagnosis and risk stratification to implement an overall risk management strategy. Presently, the conventional method is not suitable for large-scale screening. The primary aim of this study is to develop an automated diagnostic system that uses Photoplethysmogram (PPG) signals for the non-invasive diagnosis of hypertension and DM-II. The proposed model uses a statistical feature extracted by decomposing the PPG signal up to level 11 into a sub-band using Discrete wavelet transform (DWT), and a variety of classifiers are used for the classification of hypertension and detection of DM-II patients. Three feature selection techniques used are Spearman correlation, ReliefF and Minimum Redundancy Maximum Relevance (mRMR) to select 20 top features out of 130 features using correlation with systole blood pressure (SBP), diastole blood pressure (DBP) values and D-II. The highest accuracy attained by the Adaptive neural fuzzy system (ANFIS) for classification categories such as normal (NT) vs prehypertension(PHT), NT vs. hypertension type 1 (HT-I), NT vs hypertension type 2 (HT-II) in terms of F1 score are 92.%, 98.5%, 98.3% (SBP) and 83.1%, 95.6%, 86.8% (DBP),respectively. The accuracy achieved by the adaptive-network-based fuzzy inference system (ANFIS) for the classification of normal (non-diabetic) vs. diabetic patients is 99.1%. The hybrid learning algorithm-based classifier achieved higher accuracy for hypertension risk stratification as compared to the hard computing classifier, which requires parameter tuning and DWT decomposition is robust to the noisy signal, overcoming the limitation of the morphological feature-based model.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"19 ","pages":"Article 100251"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42453552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cover","authors":"","doi":"10.1016/j.medntd.2023.100263","DOIUrl":"https://doi.org/10.1016/j.medntd.2023.100263","url":null,"abstract":"","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"19 ","pages":"Article 100263"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50183327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dun Wang , Sheng Yang , Kai-Xuan Guo , Yan-Ying Zhu , Jia Sun , Aliona Dreglea , Yan-Hong Gao , Jiao Yu
{"title":"Computer-aided recognition and assessment of a porous bioelastomer in ultrasound images for regenerative medicine applications","authors":"Dun Wang , Sheng Yang , Kai-Xuan Guo , Yan-Ying Zhu , Jia Sun , Aliona Dreglea , Yan-Hong Gao , Jiao Yu","doi":"10.1016/j.medntd.2023.100248","DOIUrl":"https://doi.org/10.1016/j.medntd.2023.100248","url":null,"abstract":"<div><p>It is difficult to use a single edge operator in image processing to extract continuous and accurate contours of a porous bioelastomer due to the fuzzy boundary and complex background in ultrasound images. To solve this problem, this paper proposes a joint algorithm for bioelastomer contour detection and a texture feature extraction method for monitoring the degradation performance of bioelastomers. First, the mean-shift clustering method is utilized to obtain the clustering feature information of bioelastomers and native tissue from manually segmented images, and this information is used as the initial information in the image binarization algorithm for image partitioning. Second, Otsu's thresholding method and mathematical morphology are applied in the process of image binarization. Finally, the Canny edge detector is employed to extract the complete bioelastomers contour from the binary image. To verify the robustness of the proposed joint algorithm, the results using the proposed joint algorithm, where mean-shift clustering is replaced with k-means clustering are also obtained. The proposed joint algorithm based on mean-shift clustering outperforms the joint algorithm based on k-means clustering, as well as algorithms that directly apply the Canny, Sobel and Laplacian methods. Texture feature extraction is based on the computer-aided recognition of bioelastomers. The region of interest (ROI) is set in the scaffold region, and the first-order statistical features and second-order statistical features of the greyscale values of the ROI are extracted and analysed. The proposed joint algorithm can not only extract ideal bioelastomers contours from ultrasound images but also provide valuable feedback on the degradation behaviour of bioelastomers at implant sites.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"19 ","pages":"Article 100248"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50183324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oluwafemi Adeleke Ojo , Hannah Sokolayam Ibrahim , Damilare Emmanuel Rotimi , Akingbolabo Daniel Ogunlakin , Adebola Busola Ojo
{"title":"Diabetes mellitus: From molecular mechanism to pathophysiology and pharmacology","authors":"Oluwafemi Adeleke Ojo , Hannah Sokolayam Ibrahim , Damilare Emmanuel Rotimi , Akingbolabo Daniel Ogunlakin , Adebola Busola Ojo","doi":"10.1016/j.medntd.2023.100247","DOIUrl":"10.1016/j.medntd.2023.100247","url":null,"abstract":"<div><p>Diabetes mellitus is a metabolic disease characterized by high blood glucose levels and a range of other symptoms that last for a long period of time. It has a rapid prevalence globally, and there is a possibility of the statistic doubling in a few years. This review is aimed at evaluating the mechanism, pathophysiology, and pharmacology of diabetes mellitus. The data used was sourced through a thorough review of scientific articles published in a variety of databases, including Springer, Scopus, Elsevier, Google Scholar, Wiley, Web of Science, PubMed, and Taylor & Francis. Furthermore, PhD and MSc theses were also used in compiling data. According to the literature review, diabetes mellitus is a persistent condition with various risk factors and serious complications that affect the quality of life. However, research studies have helped in the prognosis, diagnosis, treatment, and management of its different forms.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"19 ","pages":"Article 100247"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44443700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Characterization and cross-comparison of digital stethoscopes for telehealth remote patient auscultation","authors":"Yi Yang Ang, Li Ren Aw, Vivian Koh, Rex X. Tan","doi":"10.1016/j.medntd.2023.100256","DOIUrl":"10.1016/j.medntd.2023.100256","url":null,"abstract":"<div><p>— Stethoscopes are commonly used to diagnose cardiac and respiratory diseases. The advent of digital stethoscopes added the capability to remotely monitor the cardiorespiratory well-being of patients and facilitate digital remote auscultations for physicians to examine their patients outside of the clinic. To increase the adoption of a hybrid diagnosis between in-person and remote auscultations, it is important to characterize the frequency response of different configurations of digital stethoscopes. A standard testing platform was adopted from the literature and re-validated by seven physicians. Two wearable and two non-wearable digital stethoscopes were investigated. A similarity factor score was used to analyze select time-synchronized acoustic events that achieved high fidelity between stethoscopes. The frequency responses between devices were compared using the correlation coefficient. Two devices reported the highest correlation coefficient of 0.72 and 0.75 in the wearable and non-wearable categories, respectively. The correlation coefficient of the frequency responses between the same pair of devices on the human chest was 0.91. With such a high agreement in the frequency response between the wearable and non-wearable digital stethoscope, it can be concluded that the configuration of digital stethoscope is not a limiting factor of performance, and both are acceptable and desirable for physicians to adopt either configuration in remote delivery of healthcare.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"19 ","pages":"Article 100256"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45327625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}