Prognostic Method Research Articles

Differentially Expressed Proteins in Transfusion-Dependent Thalassemia (TDT) and Their Role in Tdt Disease Severity

Introduction: The management of transfusion-dependent thalassemia (TDT) has seen essential improvements; however, still several challenges to controlling the incidence worldwide. Limitations of available current treatment modalities in resource-limited countries are the driving force to investigate the novel diagnostic and therapeutic options for better clinical management of these patients. Proteomics may be a potential technique to identify novel biomarkers of disease severity and understand the pathophysiological mechanisms of TDT, as proven in many other diseases. Understanding the inter-relationships of proteins affected by the disease process, such as oxidative stress in TDT patients, can help to elucidate the mechanisms involved in the disease pathophysiology. However, plasma proteome profile studies in TDT are limited. This study aimed to investigate the differentially expressed proteins (novel proteins) in serum from TDT to understand the pathophysiology of TDT and determine their role in TDT severity by performing quantitative serum proteomics profiling. Methods: The sample size was calculated based on the sensitivity and specificity of the protein biomarkers identified in the pilot study. A total of 64 patients were included in this study. A serum sample was collected from 32 TDT patients and 32 non-thalassemia controls. Before the serum samples could be processed for label-free quantification using the liquid chromatography-mass spectrometry/mass spectrometry (LCMS/MS) approach, high abundance proteins such as serum albumin and immunoglobulins were depleted using Pierce™ Albumin/IgG Removal Kit (Thermo Fisher Scientific, USA.) according to the manufacturer's protocols. The protein content in samples after depletion of high abundance proteins was determined using the Bradford assay using the protocol recommended by the manufacturer protocol (BioRad, USA). Each protein sample was prepared for LC-MS/MS analysis using EasyPep™ Mini MS Sample Prep Kit (Thermo Fisher Scientific, USA). Analysis of sera was performed on the Agilent 6560C ion mobility Q-TOF LC/MS system (Agilent, USA). To validate the LCMS/MS results, ELISA was done. Differentially regulated proteins with p-value <0.05 were identified from the dataset and uploaded to online databases PANTHER to classify and identify the proteins' functions. The functional gene ontology (GO) annotation of the identified protein in terms of molecular function, biological process, and cellular component was evaluated using this curated biological database. The statistically significant expressed proteins were submitted to STRING, and a combined score of >0.4 (medium confidence) was considered experimentally validated and statistically significant interactions between proteins. The cluster with the largest number of proteins with strong connections was identified for the pathway enrichment analysis. The identified protein cluster from the STRING database was uploaded to the KEGG online database to acquire the enriched pathway. Results: 51 dysregulated proteins were found between cases and controls (Table). However, only 13 showed statistically significant differential expression (p <0.05) with a fold change >1, and mostly were downregulated. Gene ontology functional annotation analysis showed these proteins were involved in molecular functions, mainly catalytic activities (37%), followed by molecular function regulation (15%). The biological processes primarily involved the cellular (35.5%) and metabolic processes (32.3%). The pathway analysis showed that these proteins were involved mainly in hemostasis. In KEGG pathway analysis, the proteins were involved primarily in fat digestion and absorption and vitamin digestion & absorption. Conclusion: We elucidated the possible biological processes modulated by oxidative stress using the differentially expressed novel proteins and the associated pathways using comprehensive molecular and biocomputational analysis. Interestingly, most of the differentially expressed proteins in this study have not been yet reported in previous studies to be modulated by oxidative stress in TDT patients. Therefore, the identified dysregulated proteins can serve as a potential biomarker to monitor a patient's condition, determine the effect, need for blood transfusion, and help develop novel prognostic and diagnostic methods. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

Impact of the Updated IPSS-Molecular Prognostic Scoring System for Myelodysplastic Syndrome in 10,283 Real World Samples

Introduction The International Prognostic Scoring System-Molecular (IPSS-M) is a validated prognostic method that incorporates molecular information to improve risk stratification for patients with myelodysplastic syndromes (MDS). It is a weighted sum of prognostic variables consisting of clinical, cytogenetic, and somatic mutation information (up to 31 genes), used to generate a patient-specific risk score and associated risk category assignment. To assess the impact of combining additional molecular data into MDS prognosis, we retrospectively analyzed 10,283 real world samples from patients who had been sequenced with a commercially available targeted next-generation sequencing (NGS) panel to determine the number of patients whose risk stratification could potentially be altered by IPSS-M. Methods Next-generation sequencing was performed using a panel capable of detecting and reporting single nucleotide variants and small indels across 50 genes. IPSS-M uses 19 binary molecular features incorporating somatic mutation information from 31 genes, 27 of which are targeted by the NGS panel used. Whole blood or bone marrow samples from patients with cause-for-testing for MDS or peripheral blood cytopenias were submitted for analysis by a clinician. DNA was extracted and assayed by the targeted, NGS panel and sequenced on Illumina DNA sequencers (Illumina, San Diego, CA). Results were reviewed, orthogonally confirmed unless previously validated, and reported by clinical laboratory directors. Disease status or symptoms were abstracted from test requisitions for each patient. TP53 loss of heterozygosity and KMT2A partial tandem duplications (MLLPTD) are molecular features in the IPSS-M but could not be assessed in this study. Results A total 10283 samples were analyzed including 4437 with an indication for MDS. 46.0% (4728/10283) of samples had at least one of 17 IPSS-M molecular features. The mean number of features observed was 0.83 with a range 0-6. In the IPSS-M, multiple mutations in TP53 have the strongest negative effect and this feature was observed in 2.3% of patients (236/10283). SF3B1-α, which provides the strongest positive effect, was observed in 6.5% (666/10283) of patients. The most common features were ASXL1 (15.3%, 1571/10283), DNMT3A (11.7%, 1204/10283) and SRSF2 (10.0%, 1030/10283). 629 MDS or peripheral blood cytopenia patients had serial testing performed allowing us to observe possible changes in IPSS-M risk scores over time. Patients with serial testing had a mean of 2.16 tests performed with a range of 2-5 tests. The mean interval between tests was 225 days (median = 177 days, range 0-1211 days). 63.4% (399/629) of patients with serial tests had at least one molecular feature in at least one sample. Furthermore, a change in IPSS-M molecular features was observed between tests in 44.1% (176/399) of cases potentially leading to a change of IPSS-M risk score and clinical management in these patients. Gains of features between tests were observed in 30.1% (120/399) while losses were observed in 22.1% (88/399). These changes in mutation status may be result of tumor evolution, response to therapeutic intervention, or a combination thereof. A small number of patients (n=23) showed both losses and gains of molecular features over the course of testing revealing insights into the biological evolution of MDS. Efforts are ongoing to gather clinical and cytogenetic data associated with these samples to fully assess changes in IPSS-M scores over time. Conclusion A large proportion (50.1%, 2257/4437) of MDS patients analyzed have molecular findings that allow for further clinical risk stratification. These findings show the benefit of targeting a broad panel of genes using NGS for MDS prognosis and patient risk stratification.

State Policy of Russia in the Field of Space Activities in the Light of Recent Global Challenges and Prospects: Goals, Principles, Objectives and Main Priorities

The article examines the key factors influencing the transformation of Russia’s space activities. At present, Russia is faced with a global political crisis, which makes it necessary to revise a number of principles and tasks for the implementation of space activities, as well as further prospects related to space exploration. The purpose of this study is to identify the impact of global challenges on the goals, principles, tasks and main priorities of the state policy of Russia in the field of space activities. ъ The methodological basis of the study was systemic, functional, comparative, normative-value, as well as prognostic methods. The author also came to the conclusion that the changing geopolitical situation requires adjustment of the main elements of the Russian space policy in the context of national interests.

Purchaser’s right to repair medical equipment under COVID-19 pandemic

The article discusses certain aspects of the buyers rights to repair medical equipment during and after the expiration of the warranty period. Today, increasingly, some manufacturers limit the possibility of independent repairs by unreasonably highly integrating parts, technically unjustified complication of components, creating an artificial scarcity of spare parts in the market, preventing the work of independent service organizations and other controversial marketing strategies. The objectives of the study is to assess the limitations of the buyers rights to repair for the proposal of law enforcement proposals for respecting the balance of interests of the Parties under the Agreement; the elimination of the possibility of distorting civil law principles of conscientiousness and transparency. The tasks are permitted through the formal legal, regulatory, systemic, logical, comparative and theoretical and prognostic methods. According to the results of the work, the conclusions are formulated about the need to adjust the current legislation, including in the scope of manufacturers for the use of software that limits the repair of goods; unreasonably high degree of integration of blocks; failure to submit service documentation, as well as for electronic blocking of diagnostics, maintenance and repair of goods.

Prognosis of fetal macrosomy by fetal weight in the third trimester

Introduction. Fetal macrosomy is associated with the risk of maternal and fetal trauma, shoulder dystocia, increase frequency of cesarean section, and obstetric hemorrhage. Prediction of large fetal size at the antenatal stage remains an urgent issue, definitively unresolved even with the use of modern medical imaging techniques. Materials and Methods. A total of 819 women were examined, of whom 365 (the study group) gave birth to a baby weighing more than 4000 grams, and 454 (the control group) gave birth to a full-term baby within the gestational weight norm. At 32–34 weeks of gestational screening in the third trimester, all women underwent an ultrasound examination followed by calculation of estimated fetal weight using the Hadlock formula. The inclusion criteria were fetal anthropometric data at 32–34 weeks' gestational age within the normal range, i.e. within the 10-90th percentile corridor. Results. There was a difference between the groups, the fetal weight in women in the main group in the third trimester, calculated by the Hadlock formula, was significantly higher and was 2123 grams (Q1; Q3 – 1948; 2278) compared to the control group, in which the weight was 1990 grams (Q1; Q3 – 1844; 2101), p &lt; 0.001. ROC-analysis revealed a low, but statistically significant diagnostic value of this parameter for the prognosis of fetal macrosomia. Discussion. The practical importance of determining the risk of fetal macrosomia cannot be overestimated. Using prognostic methods, it is possible to take measures to prevent maternal and fetal trauma and to prevent perinatal morbidity. Our results show that even the isolated use of the estimated fetal weight estimation by the Hadlock method, performed in a Level III institution, allows us to identify a group of pregnant women at risk for fetal macrosomia with acceptable sensitivity and specificity. The threshold fetal weight at 32–34 weeks is 2032 grams. Obviously, ultrasound at 32–34 weeks remains essential as a selective screening technique, e.g. in the presence of known risk factors for fetal macrosomia. Conclusion. Antenatal 2D ultrasound sonography to determine the risk of fetal oversize fetuses performed as part of third-trimester prenatal screening is a tool for selective screening. The development of integral multifactorial prognostic models of fetal macrosomia based on the calculation of estimated fetal weight using the Hadlock method at 32-34 weeks seems to be a promising direction that will significantly improve the quality of perinatal care.

“Cold war 2.0”: Simulation of possible conflict scenarios of the Western world and russia and their satellites after the hot stage of the russian-Ukrainian war

Currently, the development of complex international relations and further dialogue between the collective West and Russia is the most important topic discussed in political circles in many countries. This issue is particularly relevant both considering the escalation of the active phase of the russian-Ukrainian war and the difficulty of predicting further developments in the situation. The research aims to present various options for the development of events in the international arena in the sphere of relations between Western countries and the russian federation and its satellites after the end of active hostilities in Ukraine. The main scientific method used in the research is historical, comparative, analysis, observation, systematic approach, and prognostic methods. The research identified the key characteristics and peculiarities of bilateral relations between the leading Western countries and russia at the present stage of development; studied the official policy of Western countries towards the satellites of the russian federation; predictions on the development of relations between the main players in the international arena within the framework of this study after the end of active hostilities in the russian-Ukrainian war. The research results, as well as the conclusions drawn, can be used as a basis for future research, both by researchers and scholars specializing in related areas of research; in addition: for the diplomatic service – in the process of studying the history of relations between Western countries and the russian federation and determining its role and position as a third party in these relations; for higher education, primarily for the specialties of history, international relations, and international politics, for the science of conflicts as a historical example of the development of complex relations between separate subjects on the international arena; for other scholars studying the issue

INTEGRATIVE SEMANTIC MAP AS AN ILLUSTRATIVE AND SCHEMATIC BASIS FOR THE DEVELOPMENT OF A PROFESSIONALLY SIGNIFICANT ENGLISH-LANGUAGE THESAURUS OF THE THEMATIC FIELD “LAW”

The authors of the article consider integrative semantic mapping as an illustrative and schematic basis for the law students’ development of a professionally oriented English-language thesaurus of the topical field “Law”. The aim of the research is to study further development of professional and communicative English-language competence which allows ensuring the implementation of pragmatic and professional communicative tasks in simulated situations of entering into legal relationship by the students.&#x0D; Methodology. The methodological framework for the research is the cognitive and generalizing methods, such as the theoretical analysis of research works in linguodidactics, pedagogy, cognitive linguistics, and the prognostic methods. The research material was an educational and methodological complex on the discipline “Legal English”, used as part of the Bachelor’s degree program 40.03.01 “Jurisprudence”.&#x0D; Results. The paper analyzes an algorithm for the development of abilities and skills of linguo-cognitive processing of professionally significative highly legal English texts of a static nature (for intermediate and upper-intermediate students), and English-language videos of a dynamic nature of the genre “courtroom drama” (for advanced and proficient students) using integrative semantic maps. Analyzing their application features allows us to emphasize their main function, which consists in optimizing the development of information about the law enforcement and legal proceedings in English-speaking countries, necessary for the effective intercultural communication of future practitioners in various branches of law.&#x0D; Conclusion. Forming and developing the English-language thesaurus of a professional lawyer is one of important areas of modern linguodidactics. It has been proved that the optimization of this process has become possible thanks to the use of new learning technologies, in particular, integrative semantic mapping as a tool for verbalization of acquired knowledge, which allows consciously applying cognitively mastered information, competently verbalizing it in intercultural professional communication, preventing and eliminating possible communication failures.

Comparison of Risk Models in the Prediction of 30-Day Mortality in Acute Myocardial Infarction–Associated Cardiogenic Shock

BackgroundThere are numerous risk-prediction models applied to acute myocardial infarction–related cardiogenic shock (AMI-CS) patients to determine a more accurate prognosis and to assist in patient triage. There is wide heterogeneity among the risk models including the nature of predictors evaluated and their specific outcome measures. The aim of this analysis was to evaluate the performance of 20 risk-prediction models in AMI-CS patients. MethodsPatients included in our analysis were admitted to a tertiary care cardiac intensive care unit with AMI-CS. Twenty risk-prediction models were computed utilizing vitals assessments, laboratory investigations, hemodynamic markers, and vasopressor, inotropic and mechanical circulatory support available from within the first 24 ​hours of presentation. Receiver operating characteristic curves were used to assess the prediction of 30-day mortality. Calibration was assessed with a Hosmer-Lemeshow test. ResultsSeventy patients (median age 63 years, 67% male) were admitted between 2017 and 2021. The models' area under the curve (AUC) ranged from 0.49 to 0.79, with the Simplified Acute Physiology Score II score having the most optimal discrimination of 30-day mortality (AUC: 0.79, 95% confidence interval [CI]: 0.67-0.90), followed by the Acute Physiology and Chronic Health Evaluation-III score (AUC: 0.72, 95% CI: 0.59-0.84) and the Acute Physiology and Chronic Health Evaluation-II score (AUC: 0.67, 95% CI: 0.55-0.80). All 20 risk scores demonstrated adequate calibration (p > 0.05 for all). ConclusionsAmong the models tested in a data set of patients admitted with AMI-CS, the Simplified Acute Physiology Score II risk score model demonstrated the highest prognostic accuracy. Further investigations are required to improve the discriminative capabilities of these models or to establish new, more streamlined and accurate methods for mortality prognostication in AMI-CS.

Retrospective epidemiological surveillance of COVID-19 patients in the Department of Radiodiagnosis in M. G. M. Medical College and Associated Hospitals: an audit

Background: Epidemiological surveillance is the cornerstone for the prevention and control of any pandemic. The purpose of the study was using clinical and radiological data of COVID-19 positive patients to describe the clinical features, risk factors, grading of severity on the basis of chest X-ray and their survival outcome. Methods: A retrospective observational study comprising 9100 COVID-19 positive patients was done in the Department of Radiodiagnosis, M.G.M. Medical College and M.Y. Hospital, Indore. Patients' data including demography, clinical findings, vaccination status and imaging findings was collected and assessed in between March 2020 and March 2022. In the descriptive statistical analysis, continuous variables were noted in terms of the mean and standard deviation and nominal variables were noted in terms of percentage.Results: In our study, there were 9100 patients proven with positive COVID-19 disease had abnormal CXRs were detected in 7553 of 9100 patients (83%). In our study, B/L lung involvement (69%) was found to be more with lower lung zone predominance (86.5%) and peripheral predominance opacities (83.7%). The most common finding of chest X-ray pattern is consolidation (65.7%), followed by ground glass opacity (29.0%). Most of the vaccinated patients were found to be in mild category and majority of mild cases didn’t require oxygen support. The chi-square statistic is 79.3372. The result is significant at p&lt;0.05Conclusions: The chest x-ray severity scoring (CXR-SS) system used in this study is a valuable method of disease prognostication in COVID-19. In our study, we found a significant reverse relationship between chest X-ray severity score and oxygen saturation, which has great clinical importance.

An Analysis of Transcriptomic Burden Identifies Biological Progression Roadmaps for Hematological Malignancies and Solid Tumors.

Biological paths of tumor progression are difficult to predict without time-series data. Using median shift and abacus transformation in the analysis of RNA sequencing data sets, natural patient stratifications were found based on their transcriptomic burden (TcB). Using gene-behavior analysis, TcB groups were evaluated further to discover biological courses of tumor progression. We found that solid tumors and hematological malignancies (n = 4179) share conserved biological patterns, and biological network complexity decreases at increasing TcB levels. An analysis of gene expression datasets including pediatric leukemia patients revealed TcB patterns with biological directionality and survival implications. A prospective interventional study with PI3K targeted therapy in canine lymphomas proved that directional biological responses are dynamic. To conclude, TcB-enriched biological mechanisms detected the existence of biological trajectories within tumors. Using this prognostic informative novel informatics method, which can be applied to tumor transcriptomes and progressive diseases inspires the design of progression-specific therapeutic approaches.

PROGNOSTIC METHOD OF DETECTING DELINQUENT BEHAVIOR OF ADOLESCENTS

The article examines a prognostic method aimed at determining the propensity for delinquent behavior and personal characteristics of adolescents that influence the formation of illegal behavior (basic drives, current tendencies, the necessary sphere and types of accentuation of character traits).This method made it possible to combine both subjective projective and verbal methods (methodology of Sondi’s eight trains in a modification by L. Sobchyk; patho-characteristic diagnostic questionnaire by N. Ivanova, A. Lychko), and objective (timekeeping according to the method of B. Tsukanov). Based on the proposed discriminant function, the abnormal personality development of delinquent teenagers is determined by such basic parameters as: subjective time step; deviant orientation of the motivational and semantic system and orientation of the individual in relation to social norms and values; disharmony of individual psychological (characteristic) properties and drives. These parameters, with the help of a discriminant function, form a three-dimensional system of coordinates for the diagnosis and correction of abnormal personality development. The reliability of the method, taking into account the proposed measurement procedure, is 70.62%.

Modern European trends in the development of the higher education system in the realities of large-scale military aggression (the experience of Ukraine)

The article describes modern European trends in the development of higher education in the realities of military aggression (using Ukrainian experience). General scientific methods are used in the article. Using the comparative method, the key foundations of educational reforms in some European countries close to Ukraine (Poland and Georgia) were determined. In the article also was use the prognostic method. Additional research methods were retrospective, functional, systemic, etc. In the results, the Polish and Georgian experience of regulating higher education against the background of military aggression, the peculiarities of the use of distance education in wartime conditions, and media education are characterized as a key trend in the development of the higher education system in the conditions of the Russian-Ukrainian war. In the conclusions, it is stated that Ukraine will need certain structural transformations in higher education. The Ukrainian experience of the functioning of education against the background of the Russian aggressor demonstrates that distance education is of particular importance today. The fundamental trend of the development of the higher education system in the realities of the Russian-Ukrainian confrontation is media education. The developed recommendations will be useful in overcoming the future crisis of higher education in Ukraine.

Special Issue on Intelligent Diagnostic and Prognostic Methods for Electronic Systems and Mechanical Systems

Fault diagnoses and prognostics are important tools to improve system reliability [...]

Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning.

Due to the benefits of reduced maintenance cost and increased operational safety, effective prognostic methods have always been highly demanded in real industries. In the recent years, intelligent data-driven remaining useful life (RUL) prediction approaches have been successfully developed and achieved promising performance. However, the existing methods mostly set hard RUL labels on the training data and pay less attention to the degradation pattern variations of different entities. This article proposes a deep learning-based RUL prediction method. The cycle-consistent learning scheme is proposed to achieve a new representation space, where the data of different entities in similar degradation levels can be well aligned. A first predicting time determination approach is further proposed, which facilitates the following degradation percentage estimation and RUL prediction tasks. The experimental results on a popular degradation data set suggest that the proposed method offers a novel perspective on data-driven prognostic studies and a promising tool for RUL estimations.

Prognostic value of myocardial flow reserve obtained by 82-rubidium positron emission tomography in long-term follow-up after heart transplantation

BackgroundCardiac allograft vasculopathy (CAV) is a leading cause of death following heart transplantation (HTx) and non-invasive prognostic methods in long-term CAV surveillance are needed. We evaluated the prognostic value of myocardial flow reserve (MFR) obtained by 82-rubidium (82Rb) positron emission tomography (PET). MethodsRecipients undergoing dynamic rest-stress 82Rb PET between April 2013 and June 2017 were retrospectively evaluated in a single-center study. Evaluation by PET included quantitative myocardial blood flow and semiquantitative myocardial perfusion imaging. Patients were grouped by MFR (MFR ≤ 2.0 vs MFR > 2.0) and the primary outcome was all-cause mortality. ResultsA total of 50 patients (68% men, median age 57 [IQR: 43 to 68]) were included. Median time from HTx to PET was 10.0 (6.7 to 16.0) years. In 58% of patients CAV was documented prior to PET. During a median follow-up of 3.6 (2.3 to 4.3) years 12 events occurred. Survival probability by Kaplan–Meier method was significantly higher in the high-MFR group (log-rank P = .02). Revascularization (n = 1), new CAV diagnosis (n = 1), and graft failure (n = 4) were more frequent in low-MFR patients. No retransplantation occurred. ConclusionsMyocardial flow reserve appears to offer prognostic value in selected long-term HTx recipients and holds promise as a non-invasive method for CAV surveillance possibly guiding management strategy.

Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation

Nowadays, transfer learning and domain adaptation are widely used in prognostics and health management of rotating machinery, greatly broadening its applications in scenarios with multiple operating conditions. However, almost all existing prognostic methods employ a single-source domain adaptation (SDA), ignoring the domain-shift within the source domain, and fail to make full use of multi-source historical data. To overcome these drawbacks, a multisource domain adaptation network (MDAN) for regression tasks is proposed in this article. MDAN learns domain-invariant features and supervision from multiple sources and provides better generalization in the target domain than traditional SDA methods. Besides, a new MDAN-based framework is presented for remaining useful life prediction of bearings under multiple operating conditions. Specifically, we input the time-frequency representation of the vibration signals into MDAN to achieve end-to-end training and inference across operating conditions. Case studies on the run-to-failure datasets validate the effectiveness of proposed method, and the comparison shows that it outperforms the state-of-the-art methods.

S1226 Sarcopenia Is a Risk Factor for Post-TIPS Hepatic Encephalopathy and Mortality: A Systematic Review and Meta-Analysis

Introduction: TIPS is a commonly performed procedure in patients with liver cirrhosis to treat portal hypertension-related conditions, including refractory ascites and variceal bleeding. However, currently, there is no widely utilized method to predict those likely to develop post-TIPS complications. Therefore, we conducted a systematic review and metaanalysis to evaluate Sarcopenia as a risk factor for post-TIPS hepatic encephalopathy and mortality. Methods: A comprehensive search strategy was used to identify post-TIPS HE and post-TIPS mortality reports in Sarcopenia vs. non-sarcopenia patients with liver cirrhosis who received TIPS and was conducted till February 2022. Open Meta Analyst was used to compute the results. Results: Nine studies, including 1439 patients, met our inclusion criteria and were included in the final meta-analysis. Sarcopenia was associated with significantly higher post-tips HE rate than non-sarcopenia (RR:1.68, CI: 1.33-1.989, p=0.001, I2=0%), as well as a significantly higher post-TIPS mortality rate (RR: 1.75, CI:1.027-2.98, p=0.04, I2=86%). Conclusion: Our study found significant associations between Sarcopenia and increased rates of post-TIPS HE and mortality. To develop a reliable pre-procedure prognostic method to weigh the risks and benefits of TIPS in patients with cirrhosis, further studies are needed to determine the clinical relevance of important risk factors such as Sarcopenia on post-TIPS outcomes.

A Bayesian Deep Learning Framework for RUL Prediction Incorporating Uncertainty Quantification and Calibration

In this article, deep learning (DL) has attracted increasing attention for remaining useful life (RUL) prediction. However, most DL-based prognostics methods only provide deterministic RUL values while ignoring the associated epistemic and aleatoric uncertainties. In practice, it is important to know the exact confidence in model predictions for decision making. In this article, a Bayesian deep learning (BDL) framework for RUL prediction incorporating uncertainty quantification and calibration is proposed. First, the epistemic and aleatoric uncertainties, which account for the ignorance about the model and the noise inherent in the observations, respectively, are characterized by integrating both types of uncertainties into a BDL framework. Second, to avoid under- and over-confident predictions, a novel iterative calibration method is proposed to jointly calibrate epistemic, aleatoric, and predictive uncertainties by combining isotonic regression with standard deviation scaling. The effectiveness of the proposed method is demonstrated by the case study of turbofan engines and lithium-ion batteries datasets.

Overview of MicroRNAs as Diagnostic and Prognostic Biomarkers for High-Incidence Cancers in 2021.

MicroRNAs (miRNAs) are small non-coding RNAs (ncRNAs) about 22 nucleotides in size, which play an important role in gene regulation and are involved in almost all major cellular physiological processes. In recent years, the abnormal expression of miRNAs has been shown to be associated with human diseases including cancer. In the past ten years, the link between miRNAs and various cancers has been extensively studied, and the abnormal expression of miRNAs has been reported in various malignant tumors, such as lung cancer, gastric cancer, colorectal cancer, liver cancer, breast cancer, and prostate cancer. Due to the high malignancy grade of these cancers, it is more necessary to develop the related diagnostic and prognostic methods. According to the study of miRNAs, many potential cancer biomarkers have been proposed for the diagnosis and prognosis of diseases, especially cancer, thus providing a new theoretical basis and perspective for cancer screening. The use of miRNAs as biomarkers for diagnosis or prognosis of cancer has the advantages of being less invasive to patients, with better accuracy and lower price. In view of the important clinical significance of miRNAs in human cancer research, this article reviewed the research status of miRNAs in the above-mentioned cancers in 2021, especially in terms of diagnosis and prognosis, and provided some new perspectives and theoretical basis for the diagnosis and treatment of cancers.

Women have prognostication of gestational complications with a high perinatal risk

The objective: is an increase of efficiency of prognostication of complications of gestation forwomen with a high perinatal risk on the basis of the use of modern informing markers. Materials and methods. Researches carried stage-by-stage character: on I the stage 150women were inspected with the different degree of perinatal risk; on the II stage – 50 women withcomplications at previous pregnancy. In the complex of the conducted researches were includedclinical, echographic, doppler, cariotocographic, laboratory. Results. The ball measuring system of estimation of risk of gestational complications is offeredallows to ground expedience of conducting of medical measures in the group of risk. At the sametime the presented approach opens the prospect of selection to the contingent of pregnant,treatment-and-prophylactic measures, which do not need leadthrough which will allow to avoidgroundless interferences with a gestational process. Conclusion. The use of the offered method of prognostication will allow to reduce frequency ofcomplications of pregnancy.