Developed Bone Biomaterials Incorporated with MicroRNAs to Promote Bone Regeneration: A Systematic Review, Bioinformatics, and Meta-analysis Study.

This systematic review and meta-analysis focused on the effectiveness of biomaterials integrated with specific microRNAs (miRNAs) for bone fracture repair treatment. We conducted a comprehensive search of the PubMed, Web of Science, and Scopus databases, identifying 42 relevant papers up to March 2022. Hydrogel-based scaffolds were the most commonly used, incorporating miRNAs like miR-26a, miR-21, and miR-222, with miR-26a being the most prevalent. The meta-analysis revealed significant benefits of incorporating miRNAs into scaffolds for bone repair, particularly in hydrogel scaffolds. However, some controversies were observed among studies, presenting challenges in selecting appropriate miRNAs for this purpose. The study concludes that incorporating specific miRNAs into bone biomaterials enhances bone regeneration, but further trials comparing different biomaterials and miRNAs are necessary to validate their potential applications for bone tissue regeneration.

Features of teleoncology in lung cancer: A scoping review.

OBJECTIVES: There are several challenges in providing healthcare services for lung cancer patients. Using teleoncology is an effective solution to meet such challenges. Given this, we in this study aimed to identify the features of teleoncology in lung cancer. METHODS: We conducted this scoping review in 2023. We first searched scientific databases including PubMed, Scopus, ISI Web of Sciences, and Science Direct by combining related keywords for the past 12 years (2012-2023). RESULTS: After reviewing 860 articles, we selected 39 studies for the purpose of this study. The interventions of teleoncology for lung cancer patients have four main categories, namely: monitoring of symptoms, monitoring the process of treatment and rehabilitation of patients, self-management and patient empowerment, and providing consultation for patients. CONCLUSION: The appropriate implementation of teleoncology systems improves the patient's condition and reduces lung cancer complications by improving the availability of different health services. PRACTICE IMPLICATIONS: More attention should be paid to the evaluation of telemedicine systems from the perspective of patients and health service providers. Also, the latest platforms, including mobile phone-based software, should be used to implement such systems.

Telemedicine in cancer care during COVID-19 pandemic: a systematic mapping study.

Background: For monitoring, providing, and managing COVID-19 pandemic healthcare services, telemedicine holds incredible potential. During this period, there has been a change in the remote services offered to cancer patients. As a result, the purpose of this study was to conduct a mapping review to identify and classify telemedicine applications for providing cancer care to patients during the COVID-19 pandemic. Methods: Articles published in scientific databases such as Web of Science, Scopus, PubMed, and ProQuest up to 2022 were searched for in this systematic mapping study. Identifying keywords, creating a search strategy, and selecting data sources were all part of our search for relevant articles. The articles were chosen in phases based on inclusion and exclusion criteria. Results: A total of 1331 articles were found, with the majority of them (46% of them) taking place in the United States. Telemedicine systems were most commonly developed for breast cancer (11.4%), lung cancer (7.9%), head and neck cancer (6.4%), brain cancer (5.4%), gynecologic cancer (6.0%), urological cancer (5.7%), prostate cancer (5.0%), colorectal cancer (5.0%), biliary tract cancer (5.0%), and skin cancer (5.0%). Teleconsultation was the most common type of telemedicine application, with 60% of it taking place in real time. Conclusion: Because of its emphasis on providing high-quality health care while reducing costs, telemedicine has gained popularity in the majority of countries, with positive economic and social consequences. While telemedicine systems provide a variety of healthcare services, during the COVID-19 era, they do not currently provide many services to all cancer patients worldwide. Supplementary Information: The online version contains supplementary material available at 10.1007/s12553-023-00762-2.

Telemedicine in lung cancer during COVID-19 outbreak: A scoping review.

The coronavirus disease 2019 (COVID-19) pandemic has negatively affected the medical services, particularly cancer diagnosis and treatment, for vulnerable cancer patients. Although lung cancer has a high mortality rate, monitoring and following up of these patients can help to improve disease management during the pandemic. Telemedicine has proven to be an effective method of providing health care to these patients. As a result, the purpose of this study was to identify telemedicine applications in the management of lung cancer patients during the COVID-19 pandemic. In this scoping review, studies published in online scientific databases such as Web of Science, Scopus, and PubMed between January 1, 2020 and September 1, 2021 were systematically searched and screened. The studies were chosen using predetermined inclusion and exclusion criteria. The bibliometric information and technological aspects of included studies were collected using a data extraction form and the data was analyzed using the content analysis approach. A total of 68 articles were found, from which four articles were finally selected based on specific inclusion/exclusion criteria. Real-time consultation was one of the most common applications of telemedicine to deliver health-care services to cancer patients. Health-care providers used applications such as Zoom, Facetime, WeChat, and e-mail, as well as devices including PCs, phones, and smartphones to provide real-time consultation to patients via videoconferencing, phone calls, and messaging, as well as store and forward consultation via e-mail. Telemedicine in the COVID-19 pandemic provides health-care services to lung cancer patients at their homes by enabling physicians and patients to communicate in real time. Several telemedicine services are still unavailable for patients with lung cancer. As a result, health experts, politicians, and entrepreneurs must pay special attention to this issue.

MicroRNA-125a-3p, -4530, and -92a as a Potential Circulating MicroRNA Panel for Noninvasive Pancreatic Cancer Diagnosis.

MicroRNA (miRNA) expression dysregulations in pancreatic ductal adenocarcinoma (PDAC) have been studied widely for their diagnostic and prognostic utility. By the use of bioinformatics-based methods, in our previous study, we identified some potential miRNA panels for diagnosis of pancreatic cancer patients from noncancerous controls (the screening stage). In this report, we used 142 plasma samples from people with and without pancreatic cancer (PC) to conduct RT-qPCR differential expression analysis to assess the strength of the first previously proposed diagnostic panel (consisting of miR-125a-3p, miR-4530, and miR-92a-2-5p). As the result, we identified significant upregulation for all the three considered miRNAs in the serum of PC patients. After that, a three-miRNA panel in serum was developed. The area under the receiver operating characteristic curves (AUC) for the panel were 0.850, 0.910, and 0.86, respectively, indicating that it had a higher diagnostic value than individual miRNAs. Therefore, we detected a promising three-miRNA panel in the plasma for noninvasive PC diagnosis (miR-125a-3p, miR-4530, and miR-92a-2-5p).

Efficient Model for Coronary Artery Disease Diagnosis: A Comparative Study of Several Machine Learning Algorithms.

Background: In today's industrialized world, coronary artery disease (CAD) is one of the leading causes of death, and early detection and timely intervention can prevent many of its complications and eliminate or reduce the resulting mortality. Machine learning (ML) methods as one of the cutting-edge technologies can be used as a suitable solution in diagnosing this disease. Methods: In this study, different ML algorithms' performances were compared for their effectiveness in developing a model for early CAD diagnosis based on clinical examination features. This applied descriptive study was conducted on 303 records and overall 26 features, of which 26 were selected as the target features with the advice of several clinical experts. In order to provide a diagnostic model for CAD, we ran most of the most critical classification algorithms, including Multilayer Perceptron (MLP), Support Vector Machine (SVM), Logistic Regression (LR), J48, Random Forest (RF), K-Nearest Neighborhood (KNN), and Naive Bayes (NB). Seven different classification algorithms with 26 predictive features were tested to cover all feature space and reduce model error, and the most efficient algorithms were identified by comparison of the results. Results: Based on the compared performance metrics, SVM (AUC = 0.88, F-measure = 0.88, ROC = 0.85), and RF (AUC = 0.87, F-measure = 0.87, ROC = 0.91) were the most effective ML algorithms. Among the algorithms, the KNN algorithm had the lowest efficiency (AUC = 0.81, F-measure = 0.81, ROC = 0.77). In the diagnosis of coronary artery disease, machine learning algorithms have played an important role. Proposed ML models can provide practical, cost-effective, and valuable support to doctors in making decisions according to a good prediction. Discussion. It can become the basis for developing clinical decision support systems. SVM and RF algorithms had the highest efficiency and could diagnose CAD based on patient examination data. It is suggested that further studies be performed using these algorithms to diagnose coronary artery disease to obtain more accurate results.

The Virtual Reality Technology Effects and Features in Cardiology Interventions Training: A Scoping Review.

Background: Virtual Reality (VR) as an emerging and developing technology has received much attention in healthcare and trained different medical groups. Implementing specialized training in cardiac surgery is one of the riskiest and most sensitive issues related to clinical training. Studies have been conducted to train cardiac residents using this technology. This study aimed to identify the effects and features of VR technology in cardiology interventions training. Methods: This scoping review was conducted in 2021 by searching PubMed, Scopus, and Web of Sciences scientific databases by combining the related keywords. A data extraction form was used for data gathering. Data analyses were done through the content analysis method, and results were reported based on the study objectives. Results: 21 studies were included; from the 777 articles found in the initial searches, seven (33.33%) were RCT studies. VR-based education studies in cardiology interventions have grown significantly in recent years. The main effects of applying VR include improved user attitude and satisfaction, improved performance after VR training, and improved training and learning. Input devices include tracking devices, point input devices, and controllers. Output devices were three main categories include graphics audios and haptic. Conclusion: The use of new technologies, especially VR, can improve the efficiency of medical training in clinical settings. It recommends that this technology train the necessary skills for heart surgery in cardiac residents before performing real surgery to reduce the potential risks and medical errors.

Helicobacter pylori Infection Mediates Inflammation and Tumorigenesis-Associated Genes Through miR-155-5p: An Integrative Omics and Bioinformatics-Based Investigation.

Helicobacter pylori (H. pylori) is a major human pathogenic bacterium that survives in the gastric mucosa. The aim of this study is to evaluate the expression of the target gene network of miR-155-5p in H. pylori-related gastritis using a combination of public gene expression datasets and web-based platforms. To evaluate the expression of genes related to gastritis, we used two datasets from Gene Expression Omnibus (GEO) database. Then, we determined the overlaps between the predicted miR-155-5p target genes and gastritis-dysregulated GEO datasets genes; in the next step, we identified the possible miR-155-5p target-DEGs (Target-Differentially Expressed Genes). Also, we performed multiple bioinformatics analyses to identify the most important targets and downstream pathways associated with this miRNA. Using the UCSC cancer genomic browser analysis tool, we investigated the expression of hub genes in relation to gastric cancer and H. pylori infection, as well as the potential role of hub genes in gastritis, inflammation, and cancer. In this regard, 28 differentially expressed target genes of miR-155-5p were identified. Most of the captured target genes were correlated with the host immune response and inflammation. Based on the specific patterns of expression in gastritis and cancer, CD9, MST1R, and ADAM10 were candidates for the most probable targets of miR-155-5p. Although the focus of this study is primarily on bioinformatics, we think that our findings should be experimentally validated before they can be used as potential therapeutic and diagnostic tools.

Bone Healing Monitoring in Bone Lengthening Using Bioimpedance.

The most common technique of orthopedic surgical procedure for the correction of deformities is bone lengthening by "distraction osteogenesis," which requires periodic and ongoing bone assessment following surgery. Bone impedance is a noninvasive, quantitative method of assessing bone fracture healing. The purpose of this study was to monitor bone healing and determine when fixation devices should be removed. The left tibia of eight male New Zealand white rabbits (2.4 ± 0.4 kg) undergoing osteotomy was attached with a mini-external fixator. The bone length was increased by 1 cm one week after surgery by distracting it 1 mm per day. Before and after osteotomy, as well as every week after, bone impedance was measured in seven frequency ranges using an EVAL-AD5933EBZ board. Three orthopedic surgeons analyzed the radiographs using the Radiographic Union Scale for Tibial (RUST) score. The Kappa Fleiss coefficient was used to determine surgeon agreement, and the Spearman rank correlation coefficient was used to find out the relationship between impedance measurements and RUST scores. Finally, the device removal time was calculated by comparing the bone impedance to the preosteotomy impedance. The agreement of three orthopedic surgeons on radiographs had a Fleiss' Kappa coefficient of 49%, indicating a moderate level of agreement. The Spearman rank correlation coefficient was 0.43, indicating that impedance and radiographic techniques have a direct relationship. Impedance is expected to be used to monitor fractured or lengthened bones in a noninvasive, low-cost, portable, and straightforward manner. Furthermore, when used in conjunction with other qualitative methods such as radiography, impedance can be useful in determining the precise time of device removal.

Four decades of hand microsurgery in Iran: A bibliographic analysis.

BACKGROUND: The aim of this study was to perform a bibliometric analysis to assess the number of articles published by Iranian researchers in the field of hand and microsurgery over the last four decades. MATERIALS AND METHODS: An online search was conducted using 685 keywords in the abstract/title sections of articles, including carpal tunnel syndrome, wrist fractures, nerve injury and repair, skin flap and graft in the hand, congenital disorders in the hand and forearm, tumor in the hand and wrist, and infection in the hand and wrist. From February 1976 to May 2021, EndNote software version 8.1 was used to search articles in PubMed and Scopus databases. Articles in which at least one of the authors was affiliated with Iran were chosen. The name of the original institution, field of study, total number of publications, type of study, collaboration rate of Iranian hand surgeons for each year, and annual sharing of Iranian articles in journals with the highest cite scores in the field of hand and microsurgery were all examined in the present study. RESULTS: The total number of publications in the field of hand and microsurgery was 632 (an average of 11 papers per year). Most of the Iranian hand and microsurgery papers were from the capital city, Tehran (38.09%). There was an increasing trend in the number of publications over the years, most which were about carpal tunnel syndrome (21.5%), tendon (9.8%), and nerve (9.6%). In total, 59.6% were descriptive articles, whereas the proportion of clinical trials was relatively small (22.3%). CONCLUSIONS: Iranian hand microsurgeons have continued to increase their scientific output in hand microsurgery and related fields over the last 40 years. The quality of Iranian hand microsurgeons' scientific output, both within and outside their discipline, has greatly improved; however, they still have a long way to go before becoming a hub of science. LEVEL OF EVIDENCE: IV, retrospective study without control group.

Tele-orthopaedics: A systematic mapping study.

INTRODUCTION: The use of telemedicine in orthopaedics can provide high-quality orthopaedic services to patients in remote areas. Tele-orthopaedics is widely acknowledged for decreasing travel, time and cost, increasing accessibility and quality of care. In the absence of a comprehensive review on tele-orthopaedics applications and services, here, we systematically identify and classify the tele-orthopaedic applications and services, and provide an overview of the trends in the field. METHODS: In this study, a systematic mapping was conducted to answer six research questions, we searched the databases Scopus, PubMed, IEEE Digital Library and Web of Science up to 2019. Consequently, 77 papers were screened and selected on the basis of specific inclusion and exclusion criteria. RESULTS: We found that mobile-based teleconsultation was mostly asynchronous, while non-mobile teleconsultation was synchronous. The results showed that the physician-patient relationship was more common than other interactions, such as physician-physician and physician-robot interactions. In addition, more than half of the services provided by tele-orthopaedics have been used for orthopaedic diseases/traumas in which joint replacement and fracture reduction have been the most important orthopaedic procedures. It has been noted that more attention has been paid to tele-orthopaedics in developed countries such as the USA, Australia, Canada and Finland. DISCUSSION: Telemonitoring (teleconsultation and telemetry) and telesurgery (telerobotics and telementoring) were found to be the two major forms of tele-orthopaedics. Mobile phones were used asynchronously in most of the teleconsultations. The development of different applications may result in the use of multiple smartphones applications in real-time teleconsultation. The use of smartphones is expected to increase in the near future.

Identification of miRNAs and the target genes related to male infertility and smoking using bioinformatics approaches.

The impact of smoking on male fertility has been extensively acknowledged. Many studies have shown that smoking reduces sperm production, motility and fertilizing capacity by increasing seminal oxidative stress and DNA damage. In this study, expression profiles of miRNAs and their predicted target genes, showing dysregulation in smokers and associated with male infertility, were obtained, using Gene Expression Omnibus (GEO) datasets. Differentially expressed miRNAs, related to male infertility in sperm samples of smoking and non-smoking men, were picked out using the GEO2R online tool. Then, the target genes of each selected miRNA were predicted by using MiR-DIP. The target genes lists were compared to differentially expressed genes from the smoking and infertile men datasets. Common genes were chosen for further enrichment analysis such as GO, KEGG and PPI network analysis via STRING and MCODE. Then, four miRNAs (miR-26a, miR-32, miR-188-3p and miR-512-3p) which had shown differential expression in male infertility in other studies, and also had differential expression in smoking men compared to non-smokers, were screened out. Moreover, a module consisting of eight genes was identified as hub genes, including APC, NIPBL, ARID4B, TNRC6A, GIGYF2, ELAVL1, RHOF and SRSF1. These were highly correlated with male infertility and impairment of spermatogenesis. This study provides a comprehensive bioinformatics analysis of miRNAs and their target genes affecting male infertility in smokers. The results showed a collection of the most relevant genes and effective molecular pathways, which may serve as potential markers for the early detection of spermatogenesis disorders leading to infertility in smokers, after experimental validation.

A machine learning approach identified a diagnostic model for pancreatic cancer through using circulating microRNA signatures.

Late diagnosis of pancreatic cancer (PC) due to the limited effectiveness of modern testing approaches, causes many patients to miss the chance of surgery and consequently leads to a high mortality rate. Pivotal improvements in circulating microRNA expression levels in PC patients make it possible to diagnose and treat patients at earlier stages. A list of circulating miRNAs was identified in this study using bioinformatics methods in association with pancreatic cancer through analyzing four GEO microarray datasets. The value of top miRNAs was then assessed via using a machine learning method. Taking the advantage of a combinatorial approach consisting of Particle Swarm Optimization (PSO) + Artificial Neural Network (ANN) and Neighborhood Component Analysis (NCA) iterations on a collection of top differentially expressed circulating miRNAs in PC patients, facilitated ranking them by significance. MiRNA's functional analysis in the final index was performed by predicting target genes and constructing PPI networks. Remarkably, the final model consist of miR-663a, miR-1469, miR-92a-2-5p, miR-125b-1-3p and miR-532-5p showed great diagnostic results on investigated cases and the validation set (Accuracy: 0.93, Sensitivity: 0.93, and Specificity: 0.92). Kaplan-Meier survival assessments of the top-ranked miRNAs revealed that three miRNAs, hsa-miR-1469, hsa-miR-663a and hsa-miR-532-5p, had meaningful associations with the prognosis of patients with pancreatic cancer. This miRNA index may serve as a non-invasive and potential PC diagnostic model, although experimental testing is needed.

MicroRNAs Targeting MYC Expression: Trace of Hope for Pancreatic Cancer Therapy. A Systematic Review.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest malignancies and a major health problem worldwide. There were no major advances in conventional treatments in inhibiting tumor progression and increasing patient survival time. In order to suppress mechanisms responsible for tumor cell development such as those with oncogenic roles, more advanced therapeutic strategies should be sought. One of the most important oncogenes of pancreatic cancer is the MYC gene. The overexpression of MYC can activate many tumorigenic processes such as cell proliferation and pancreatic cancer cell invasion. MiRNAs are important molecules that are confirmed by targeting mRNA transcripts to regulate the expression of the MYC gene. Therefore, restoring MYC-repressing miRNAs expression tends to be an effective method of treating MYC-driven cancers. OBJECTIVE: The purpose of this study was to identify all validated microRNAs targeting C-MYC expression to inhibit PDAC progression by conducting a systematic review. METHODS: In this systematic review study, the papers published between 2000 and 2020 in major online scientific databases including PubMed, Scopus, and Web of Science were screened, following inclusion and exclusion criteria. We extracted all the experimental studies that showed miRNAs could target the expression of the MYC gene in PDAC. RESULTS: Eight papers were selected from a total of 89 papers. We found that six miRNAs (Let-7a, miR-145, miR-34a, miR-375, miR-494, and miR-148a) among the selected studies were validated for targeting MYC gene and three of them confirmed Let-7a as a direct MYC expression regulator in PC cells. Finally, we summarized the latest shreds of evidence of experimentally validated miRNAs targeting the MYC gene with respect to PDAC's therapeutic potential. CONCLUSION: Restoring the expression of MYC-repressing miRNAs tends to be an effective way to treat MYC-driven cancers such as PDAC. Several miRNAs have been proposed to target this oncogene via bioinformatics tools, but only a few have been experimentally validated for pancreatic cancer cells and models. Further studies should be conducted to find the interaction network of miRNA-MYC to develop more successful therapeutic strategies for PC, using the synergistic effects of these miRNAs.

Internet of things in medicine: A systematic mapping study.

CONTEXT: The current studies on IoT in healthcare have reviewed the uses of this technology in a combination of healthcare domains, including nursing, rehabilitation sciences, ambient assisted living (AAL), medicine, etc. However, no review study has scrutinized IoT advances exclusively in medicine irrespective of other healthcare domains. OBJECTIVES: The purpose of the current study was to identify and map the current IoT developments in medicine through providing graphical/tabular classifications on the current experimental and practical IoT information in medicine, the involved medical sub-fields, the locations of IoT use in medicine, and the bibliometric information about IoT research articles. METHODS: In this systematic mapping study, the studies published between 2000 and 2018 in major online scientific databases, including IEEE Xplore, Web of Science, Scopus, and PubMed were screened. A total of 3679 papers were found from which 89 papers were finally selected based on specific inclusion/exclusion criteria. RESULTS: While the majority of medical IoT studies were experimental and prototyping in nature, they generally reported that home was the most popular place for medical IoT applications. It was also found that neurology, cardiology, and psychiatry/psychology were the medical sub-fields receiving the most IoT attention. Bibliometric analysis showed that IEEE Internet of Things Journal has published the most influential IoT articles. India, China and the United States were found to be the most involved countries in medical IoT research. CONCLUSIONS: Although IoT has not yet been employed in some medical sub-fields, recent substantial surge in the number of medical IoT studies will most likely lead to the engagement of more medical sub-fields in the years to come. IoT literature also shows that the ambiguity of assigning a variety of terms to IoT, namely system, platform, device, tool, etc., and the interchangeable uses of these terms require a taxonomy study to investigate the precise definition of these terms. Other areas of research have also been mentioned at the end of this article.

Performance comparison of machine learning techniques in sleep scoring based on wavelet features and neighboring component analysis.

INTRODUCTION: Sleep scoring is an important step in the treatment of sleep disorders. Manual annotation of sleep stages is time-consuming and experience-relevant and, therefore, needs to be done using machine learning techniques. METHODS: Sleep-EDF polysomnography was used in this study as a dataset. Support vector machines and artificial neural network performance were compared in sleep scoring using wavelet tree features and neighborhood component analysis. RESULTS: Neighboring component analysis as a combination of linear and non-linear feature selection method had a substantial role in feature dimension reduction. Artificial neural network and support vector machine achieved 90.30% and 89.93% accuracy, respectively. DISCUSSION AND CONCLUSION: Similar to the state of the art performance, the introduced method in the present study achieved an acceptable performance in sleep scoring. Furthermore, its performance can be enhanced using a technique combined with other techniques in feature generation and dimension reduction. It is hoped that, in the future, intelligent techniques can be used in the process of diagnosing and treating sleep disorders.