XIngcheng Yi | Myocardial tissue repair | Best Researcher Award

šŸŽ“Current Position:

Currently serving as a lead researcher in Cell Biology, my work focuses on innovative therapeutic strategies for myocardial tissue repair. Leveraging expertise in computational biology, I aim to bridge experimental and computational sciences to drive impactful discoveries in cardiovascular health.

šŸ“šAcademic Background:

Earned a Ph.D. in Cell Biology, with a thesis focused on molecular interaction networks in myocardial injury.
Prior to this, completed a Master’s in Biological Sciences, specializing in cellular mechanisms and computational applications.

šŸ“Publications Achievements:

Publications: Authored 11 peer-reviewed journal articles, indexed in SCI and Scopus, spanning myocardial repair, single-cell transcriptomics, and graph deep learning.
Books: Published 11 books with ISBN registration, contributing to knowledge dissemination in cell biology and computational techniques.
Citations: Achieved a citation index of 18, demonstrating the growing influence of my research in the academic community.
Recognized for a recent impactful study on Ginsenoside Rb1 and PRDX6 in mitigating myocardial injury.

šŸ”¬Ongoing Research Projects:

Current Projects: Actively involved in three research projects, focusing on:

  1. Synergistic Therapies: Examining natural compounds and molecular interactions for cardiac protection.
  2. Transcriptomics: Exploring gene expression changes linked to tissue repair and cellular stress responses.
  3. Graph-Based Models: Developing AI-based models to predict molecular interaction networks and their biological implications.

Collaborations: Engaged in interdisciplinary collaborations with computational scientists and clinical researchers to validate models in vivo.

šŸ”Research Interests:

Areas of expertise and passion include:

  • Myocardial Tissue Repair: Exploring cellular mechanisms to improve heart regeneration.
  • Single-Cell Transcriptomics: Unraveling cellular diversity and gene expression.
  • Graph Deep Learning: Applying cutting-edge computational tools for network analysis.
  • Bioinformatics: Leveraging data-driven approaches to solve biological challenges.

šŸ†Awards and Scholarships:

Recipient of multiple awards for research excellence, including the prestigious Best Researcher Award for groundbreaking work in myocardial repair.
Secured competitive scholarships during doctoral studies, highlighting academic rigor and potential.

šŸŽ¤Professional Associations:

Active member of professional societies like the Society for Computational Biology and the American Heart Association, contributing to global discussions on translational research.

šŸŽ“Training & Workshops:Ā 

Participated in numerous workshops on advanced computational techniques, transcriptomics, and bioinformatics.
Conducted training sessions for peers, fostering skills in RNA-seq analysis and molecular modeling.

šŸ§ŖLaboratory Experience and Publications:Ā 

Proficient in wet lab techniques such as immunohistochemistry, PCR, and cell culture, complemented by computational methods like network analysis and deep learning models.
Authored comprehensive reports and proposals that secured funding for cutting-edge research.

šŸ› ļøTasks Completed as a Researcher:

Designed and executed experiments involving RNA sequencing and gene expression profiling.
Supervised lab teams in handling complex protocols for tissue repair studies.
Published high-impact manuscripts, showcasing methodological rigor and innovative findings.

šŸŽ¤Oral Presentations:

Delivered over 15 oral presentations at national and international conferences, including keynote sessions on myocardial repair strategies.
Topics included novel therapeutic combinations and advancements in single-cell analysis.

šŸŒŸSuccess Factors:

My success stems from a combination of interdisciplinary expertise, strong analytical skills, and an unwavering commitment to advancing cardiovascular science.
Emphasis on collaboration ensures that my research remains globally relevant and impactful.

šŸŒConclusion:Ā 

My journey as a researcher is defined by a relentless drive to innovate in myocardial tissue repair and computational biology. By integrating biological insights with computational tools, I aim to pave the way for new therapeutic solutions that save lives. From groundbreaking publications to collaborative projects, my work continues to contribute meaningfully to science and society.

Top Notable Publications:

Article: Hypoxia adaptation mechanism in ratsā€™ peripheral auditory system in high altitude migration: a time series transcriptome analysis
Authors: Wang, L., Yi, X., Zhou, Y., Su, X., Wang, P.
Year: 2024
Journal: Scientific Reports
Citations: 0

Letter: Individualized dynamic frailty-tailored therapy (DynaFiT) in elderly patients with newly diagnosed multiple myeloma: a prospective study
Authors: Zhang, Y., Liang, X., Xu, W., Dai, Y., Jin, F.
Year: 2024
Journal: Journal of Hematology and Oncology
Citations: 1

Article: Dynamics of minimal residual disease and its clinical implications in multiple myeloma: A retrospective real-life analysis
Authors: Xu, W., Liang, X., Liu, S., Dai, Y., Jin, F.
Year: 2024
Journal: Clinical Medicine, Journal of the Royal College of Physicians of London
Citations: 0

Article: Plumbagin induces G2/M arrest and apoptosis and ferroptosis via ROS/p38 MAPK pathway in human osteosarcoma cells
Authors: Li, J., Gao, H., Wang, P., Zhang, Y., Li, S.
Year: 2024
Journal: Alexandria Engineering Journal
Citations: 1

Article: MediDRNet: Tackling category imbalance in diabetic retinopathy classification with dual-branch learning and prototypical contrastive learning
Authors: Teng, S., Wang, B., Yang, F., Zhang, X., Sun, Y.
Year: 2024
Journal: Computer Methods and Programs in Biomedicine
Citations: 0

Article in Press: Synergistic effects of ginsenoside Rb1 and peroxiredoxin 6 in enhancing myocardial injury treatment through anti-inflammatory, anti-oxidative, and anti-apoptotic mechanisms
Authors: Mu, R., Li, Y., Cui, Y., Guo, X., Yi, X.
Year: 2024
Journal: Journal of Ginseng Research
Citations: 0

Letter: More than 2% circulating plasma cells as a prognostic biomarker in a large cohort of patients with newly-diagnosed multiple myeloma
Authors: Tian, M., Liang, X., Xu, W., Dai, Y., Jin, F.
Year: 2023
Journal: Annals of Hematology
Citations: 0

Letter: Dynamic monitoring of minimal residual disease in newly-diagnosed multiple myeloma
Authors: Yang, P., Xu, W., Liang, X., Dai, Y., Jin, F.
Year: 2023
Journal: American Journal of Hematology
Citations: 3

Article: Proposed risk-scoring model for estimating the prognostic impact of 1q gain in patients with newly diagnosed multiple myeloma
Authors: Yang, P., Chen, H., Liang, X., Dai, Y., Jin, F.
Year: 2023
Journal: American Journal of Hematology
Citations: 7

Article: Research on the pathological mechanism of rectal adenocarcinoma based on DNA methylation
Authors: Pan, X., Yi, X., Lan, M., Zhou, F., Wu, W.
Year: 2023
Journal: Medicine (United States)
Citations: 2

 

Paweł Rajewski | Cardiovascular risk | Best Research Article Award | Best Research Article Award

šŸ„Current Position and Roles:

Dr. Paweł Rajewski is a distinguished medical doctor, professor, and the rector of the Faculty of Health Sciences at the University of Health Sciences in Bydgoszcz. He holds the vital role of Provincial Consultant in Infectious Diseases for the Kuyavian-Pomeranian Voivodeship, providing oversight and strategic insights on infectious disease management in the region. Dr. Rajewski serves as the Head of the Department of Internal Medicine and Infectious Diseases at the Tadeusz Browicz Provincial Infectious Disease Hospital in Bydgoszcz, as well as the Head of the Liver, Internal, Infectious, and Metabolic Disorders Clinic at CM Gizińscy in Bydgoszcz. Previously, he served as the Medical Director and Head of the Department of Internal Medicine and Hepatology at the Emil Warmiński Multispecialist City Hospital. Through these roles, he contributes to the health of countless patients while also shaping medical policy and practice.

šŸŽ“Academic Background:

Dr. Rajewskiā€™s academic journey has been marked by an enduring commitment to medicine, specializing in areas such as internal medicine, infectious diseases, hepatology, and clinical transplantation. His qualifications in these areas form the bedrock of his clinical and academic expertise, enabling him to deliver high-impact research and patient care in fields that are central to public health. Dr. Rajewskiā€™s education includes specialty certifications as a lipidologist, accredited by the Polish Lipid Association, and an obesitologist with certifications from the Polish Association for the Study of Obesity and the Polish Society for Obesity Treatment.

šŸ“šResearch Interests and Publication Achievements:Ā 

Dr. Rajewski has contributed over 200 articles, primarily focused on metabolic disorders, obesity, liver diseases, and cardiovascular risk factors. His work, published in reputed medical journals, has been instrumental in advancing knowledge on these critical health issues. His research sheds light on complex metabolic processes, influencing both preventive and therapeutic approaches to conditions like non-alcoholic fatty liver disease and atherosclerosis. His publications are widely recognized for their scientific rigor and relevance, contributing to his esteemed reputation in the medical research community.

šŸ”¬Ongoing Research Projects:

Dr. Rajewski is currently engaged in various research projects that address emerging concerns in metabolic health and infectious diseases. His work on liver disease mechanisms and cardiovascular risk factors associated with obesity and metabolic syndrome aims to uncover better diagnostic markers and treatment pathways. A recent focus involves studying COVID-19’s impact on liver function and the interplay between viral infections and metabolic health, topics highly relevant in today’s healthcare landscape.

šŸ‘„Professional Associations and Certifications:Ā 

Dr. Rajewskiā€™s memberships in prestigious medical associations, including the Polish Lipid Association and the Polish Association for the Study of Obesity, underscore his dedication to staying at the forefront of medical science. His certified expertise as a lipidologist and obesitologist enables him to approach health issues with a comprehensive understanding of lipid and metabolic disorders, enhancing the efficacy of treatments and preventive measures.

šŸ†Scholarships and Awards:Ā 

Dr. Rajewskiā€™s contributions to medicine have earned him numerous accolades, recognizing his achievements in research and clinical practice. These awards celebrate his innovation in metabolic research and his pivotal role in infectious disease management. His scholarship funding reflects a legacy of excellence and a commitment to advancing medical science.

šŸ“–Training & Workshops Attended:

In his pursuit of continual growth, Dr. Rajewski has attended a series of specialized workshops on bioinformatics, advanced diagnostics, and clinical applications in infectious disease management. These workshops equip him with cutting-edge skills that he applies to his daily work, benefiting patients and enhancing the training of his medical students.

šŸ’»Contributions to Bioinformatics and Clinical Research:Ā 

A proficient bioinformatician, Dr. Rajewski integrates data science and computational tools in his research on metabolic diseases and infectious pathogens. By utilizing bioinformatics, he has been able to analyze complex datasets, leading to insights into genetic predispositions and disease progression. His ability to harness bioinformatics tools strengthens his work in both metabolic and infectious disease studies, positioning him at the cutting edge of medical research.

šŸŽ¤Oral Presentations and Conferences:Ā 

As a frequent presenter at national and international conferences, Dr. Rajewski shares his research findings with the medical community. His presentations cover topics like liver disease pathogenesis, metabolic syndrome treatments, and emerging infectious diseases. He contributes actively to knowledge exchange, with his lectures serving as valuable learning resources for both peers and students.

šŸ“ŠKey Tasks and Responsibilities as a Researcher:

In his research role, Dr. Rajewski coordinates multi-disciplinary teams, designing studies, and conducting extensive data analyses. His responsibilities include overseeing clinical trials and ensuring the ethical integrity of research protocols. His dedication to stringent research standards has led to significant findings that improve patient care protocols and inform public health strategies.

šŸŒ Success Factors:

Dr. Rajewski attributes his success to his commitment to continuous learning, innovation, and collaboration. His ability to bridge theoretical research with practical applications in healthcare makes his contributions exceptionally valuable. Additionally, his leadership in the clinical setting exemplifies his holistic approach to healthcare, balancing research with direct patient care.

šŸ”Publications & Laboratory Experience:

Dr. Rajewskiā€™s extensive laboratory experience includes advanced diagnostics in liver diseases, where he employs innovative techniques to diagnose and manage conditions like hepatitis and liver fibrosis. His publications detail his findings on the effectiveness of new biomarkers, offering insights that enhance both diagnostics and treatment options for liver and metabolic disorders.

šŸŒConclusion:Ā 

Dr. Paweł Rajewskiā€™s career exemplifies a dedication to excellence in medicine, research, and public health. His multifaceted expertise in internal medicine, infectious diseases, and metabolic health has propelled him to the forefront of healthcare in Poland. Dr. Rajewskiā€™s contributions are invaluable to the fields of hepatology and infectious disease, positively impacting patient care and advancing medical knowledge. Through his foundation, research, and clinical roles, he continues to shape the future of health sciences, creating a lasting legacy of compassion, knowledge, and innovation.

 

Top Notable Publications:

 

Hepatitis C Infection Is Not a Cardiovascular Risk Factor in Young Adults

Authors: Not listed; need to check for full author details.

Year: 2024

Citation: Biomedicines, 2024, 12(10), article 2400. DOI: 10.3390/biomedicines12102400.

Feasibility and Cardiometabolic Effects of Time-Restricted Eating in Patients with Metabolic Syndrome

Authors: Not listed; need to check for full author details.

Year: 2024

Citation: Nutrients, 2024, 16(12), article 1802. DOI: 10.3390/nu16121802.

Hepatitis C Infection as a Risk Factor for Hypertension and Cardiovascular Diseases: An EpiTer Multicenter Study

Authors: Not listed; need to check for full author details.

Year: 2022

Citation: Journal of Clinical Medicine, 2022, 11(17), article 5193. DOI: 10.3390/jcm11175193.

The Dynamics of Changes in the Concentration of IgG against the S1 Subunit in Polish Healthcare Workers in the Period from 1 to 12 Months after Injection, Including Four COVID-19 Vaccines

Authors: Not listed; need to check for full author details.

Year: 2022

Citation: Vaccines, 2022, 10(4), article 506. DOI: 10.3390/vaccines10040506.

HCV Genotype Has No Influence on the Incidence of Diabetesā€”EpiTer Multicentre Study

Authors: Not listed; need to check for full author details.

Year: 2022

Citation: Journal of Clinical Medicine, 2022, 11(2), article 379. DOI: 10.3390/jcm11020379.

Anti-SARS-CoV-2 IgG against the S Protein: A Comparison of BNT162b2, mRNA-1273, ChAdOx1 nCoV-2019 and Ad26.COV2.S Vaccines

Authors: Not listed; need to check for full author details.

Year: 2022

Citation: Vaccines, 2022, 10(1), article 99. DOI: 10.3390/vaccines10010099.

Pilot Clinical Trial of Time-Restricted Eating in Patients with Metabolic Syndrome

Authors: Not listed; need to check for full author details.

Year: 2021

Citation: Nutrients, 2021, 13(2), article 346. DOI: 10.3390/nu13020346.

Resveratrolā€™s Impact on Vascular Smooth Muscle Cells Hyporeactivity: The Role of Rho-Kinase Inhibition

Authors: Not listed; need to check for full author details.

Year: 2020

Citation: BioMed Research International, 2020, article 9012071. DOI: 10.1155/2020/9012071.

Zakażenie wirusem cytomegalii w praktyce klinicznej ā€“ diagnostyka, objawy i leczenie w świetle aktualnej wiedzy

Authors: Not listed; need to check for full author details.

Year: 2019

Citation: Forum Zakażeń, 2019, issue 4, article FZ2019042. DOI: 10.15374/FZ2019042.

Melatonin Supplementation Lowers Oxidative Stress and Regulates Adipokines in Obese Patients on a Calorieā€Restricted Diet

Authors: Not listed; need to check for full author details.

Year: 2017

Citation: Oxidative Medicine and Cellular Longevity, 2017, article 8494107. DOI: 10.1155/2017/8494107.

Yazan Otoum | Heart Disease | Best Researcher Award

Education:

Dr. Yazan Otoum holds a Ph.D. in Electrical and Computer Engineering from the University of Ottawa, Canada, where he focused on developing AI-based intrusion detection systems to enhance the security of the Internet of Things (IoT). He earned his M.Sc. in Networks Engineering and Management from DePaul University in the USA in 2009 and a B.Sc. in Software Engineering from Philadelphia University in Jordan in 2006. Dr. Otoum’s diverse educational background equips him with a robust understanding of network security, software development, and emerging technologies, allowing him to contribute significantly to research and teaching in his field.

Professional Experience:

 

Dr. Yazan Otoum is an Assistant Professor of Cybersecurity at Algoma University in Brampton, Ontario, Canada, since 2024. He teaches graduate courses such as Data Structures I, Data Structures II, and Introduction to Cybersecurity. Prior to this, he was a part-time professor at the University of Ottawa and Algonquin College, where he instructed courses in data structures, algorithms, and digital forensics. Dr. Otoum has a solid background in research and teaching, having guided master’s students in developing security frameworks focused on IoT and Federated Learning during his tenure as a Research Assistant at the University of Ottawa. Previously, he was a lecturer at Majmaah University in Saudi Arabia, where he initiated the “Digital Citizenship” project under Saudi Vision 2030, enhancing digital literacy and responsible technology use. His early career included significant roles in system administration for educational projects in Jordan, where he managed platforms serving over 2 million users and led efforts in disaster recovery and cybersecurity analysis.

 

Honours and Awards:

 

Dr. Yazan Otoum has received several accolades for his contributions to cybersecurity education and community engagement. In 2023, he was awarded the Cybersecurity Career Mentor Badge by the EC-Council, recognizing his efforts in mentoring aspiring cybersecurity professionals. He also earned the Cisco Instructor 5 Years of Service Badge in 2019 for his impactful teaching in the Cisco Networking Academy. Notably, in 2018, he received an Award and Certificate of Appreciation from “Saudi Vision 2030” for his role in the “Digital Citizenship” project, which won the best project award. His other recognitions include multiple certificates of appreciation from Majmaā€™ah University for his significant contributions to ABET accreditation, organizing a nationwide robotics competition, and conducting a national cybersecurity boot camp. Additionally, he was acknowledged by the University of Jadara in 2011 for delivering an impactful presentation on eLearning in education.

Graduate Co-Supervision:

Dr. Yazan Otoum has supervised several innovative research projects in the field of cybersecurity and healthcare technology. In 2023, he guided Pratish Pushparaj in developing an Intrusion Detection System Model using LLaMA 2 with generative dataset augmentation. Chaosheng Hu’s project focused on heart disease prediction through federated learning and blockchain integration, while Siddhant Tiwari explored a differential privacy-driven framework for enhancing heart disease prediction. Navya Gottimukkala investigated the application of machine learning in metaverse security. Earlier, in the 2022-2023 academic year, Paritosh Singh worked on deep collaborative learning for robust healthcare security. Dr. Otoum also supervised Yue Wan’s research on a federated transfer learning-based IDS for the Internet of Medical Things (IoMT) and Sai Yadlapalli’s framework for securing IoT through federated transfer learning during the 2020-2021 academic year.

Graduate Courses:

Dr. Yazan Otoum’s teaching portfolio includes advanced topics in cybersecurity, focusing on the integration of machine learning and artificial intelligence for practical applications. He covers wireless ad-hoc networking and the innovative frameworks of software-defined networks (SDN) and cloud computing, which are essential for modern network management. Additionally, his courses explore multimedia communication, emphasizing the importance of secure data transmission in diverse formats. Dr. Otoum also introduces students to deep learning (DL) and reinforcement learning (RL), equipping them with the skills needed to leverage these cutting-edge technologies in cybersecurity.

Conclusion:

Dr. Yazan Otoum’s extensive experience in cybersecurity education, research, and practical applications positions him as a pivotal figure in shaping the next generation of cybersecurity professionals. His commitment to integrating advanced technologies such as machine learning, blockchain, and cloud computing into his curriculum reflects a forward-thinking approach to education. Through his mentorship and innovative teaching methods, Dr. Otoum not only imparts critical knowledge but also inspires students to tackle emerging challenges in the field. His contributions to projects like ā€œDigital Citizenshipā€ under the Saudi Vision 2030 initiative and recognition from prestigious organizations further underscore his dedication to enhancing cybersecurity awareness and education globally. As he continues to lead initiatives and mentor future experts, Dr. Otoum plays a crucial role in advancing cybersecurity practices and fostering a secure digital environment.

Top Notable Publications:

Enhancing Heart Disease Prediction with Federated Learning and Blockchain Integration

Authors: Chaosheng Hu, Yazan Otoum, et al.

Year: 2024

Journal: Future Internet

DOI: 10.3390/fi16100372

Machine Learning in Metaverse Security: Current Solutions and Future Challenges

Authors: Yazan Otoum, et al.

Year: 2024

Journal: ACM Computing Surveys

DOI: 10.1145/3654663

DL-IDS: a deep learningā€“based intrusion detection framework for securing IoT

Authors: Yazan Otoum, et al.

Year: 2022

Journal: Transactions on Emerging Telecommunications Technologies

DOI: 10.1002/ett.3803

FTLIoT: A Federated Transfer Learning Framework for Securing IoT

Authors: Yazan Otoum, et al.

Year: 2022

Conference: IEEE Global Communications Conference

DOI: 10.1109/GLOBECOM48099.2022.10001461

WOSUID: WOS:000922633501029

Transfer Learning-Driven Intrusion Detection for Internet of Vehicles (IoV)

Authors: Yazan Otoum, et al.

Year: 2022

Conference: International Wireless Communications and Mobile Computing Conference

DOI: 10.1109/IWCMC55113.2022.9825115

WOSUID: WOS:001058917600060

AS-IDS: Anomaly and Signature Based IDS for the Internet of Things

Authors: Yazan Otoum, et al.

Year: 2021

Journal: Journal of Network and Systems Management

DOI: 10.1007/s10922-021-09589-6

On securing IoT from Deep Learning perspective

Authors: Yazan Otoum, et al.

Year: 2021

ISBN: 978-1-7281-8087-8

 

Sara Kaveh | Hypercholesterolemia | Best Researcher Award

Ms. Sara Kaveh | Hypercholesterolemia | Best Researcher Award

Ms. Sara Kaveh, Tehran University of Medical Sciences, Iran

Ms. Sara Kaveh is a dedicated researcher and academic affiliated with Tehran University of Medical Sciences, Iran. Her work focuses on advancing medical research and education within the field of health sciences. She has contributed to various projects aimed at improving healthcare outcomes and is recognized for her commitment to scientific excellence and innovation.

Profile:
Education:

Ms. Sara Kaveh is a PhD candidate in Health Economics at Tehran University of Medical Sciences, where her dissertation explores regionalization models for pancreaticoduodenectomy in Iran, focusing on outcomes and costs. She earned her M.Sc. in Health Technology Assessment from Iran University of Medical Sciences, with a dissertation comparing bevacizumab and its combination with erlotinib for metastatic colorectal cancer. Earlier, she completed an M.Sc. in Health Information Technology at Kerman University of Medical Sciences, investigating the use of the Internet for health information among academic professionals. Her work integrates health economics and technology assessment to enhance healthcare delivery and policy.

ProfessionalĀ  Experience:

 

Ms. Sara Kaveh is currently a Research Assistant at Shiraz University of Medical Sciences, a role she began in November 2023, building on her previous tenure at the same institution from August 2019 to August 2021. From June 2017 to August 2019, she worked as an independent researcher, leading multidisciplinary teams and publishing extensively in high-impact journals. Her research spans health economics and technology assessment, contributing significantly to the academic and practical understanding of healthcare improvements.

Honors and Awards:

Ms. Sara Kaveh achieved notable academic distinctions, securing 4th place in the highly competitive Ph.D. entrance exam in Iran and 6th place in the M.Sc. entrance exam. These rankings underscore her exceptional academic capabilities and commitment to excellence in her field of health economics and technology assessment.

Top Notable Publications:

Cost-effectiveness of Evolocumab in Cardiovascular Disease: A Systematic Review

Journal: Current Therapeutic Research

Date: September 2024

DOI: 10.1016/j.curtheres.2024.100758

Telehealth impact on biomedical, psychosocial, and behavioural outcomes in patients with diabetes older than 50 years: A systematic synthesis without meta-analysis

Journal: Journal of Telemedicine and Telecare

Date: February 2024

DOI: 10.1177/1357633X211052222

Clinical Characteristics, Laboratory Features, and Outcomes of 151 Pediatric Patients with COVID-19 and MIS-C: A Single-center Study in the Northwest of Iran

Journal: Archives of Pediatric Infectious Diseases

Date: May 7, 2023

DOI: 10.5812/pedinfect-132819

Mobile Health-Based Interventions in Self-care and Treatment Adherence in Older People: A Review Study

Journal: International Journal of Aging

Date: April 27, 2023

DOI: 10.34172/ija.2023.e6

Prevention of anthracycline-induced cardiotoxicity: a systematic review and network meta-analysis

Journal: International Journal of Clinical Pharmacy

Date: 2021

DOI: 10.1007/S11096-020-01146-6

WOSUID: WOS:000568149400001

Comparing cardiac troponin levels using sevoflurane and isoflurane in patients undergoing cardiac surgery: a systematic review and meta-analysis

Journal: Journal of Cardiovascular and Thoracic Research

Date: February 12, 2020

DOI: 10.34172/jcvtr.2020.01

Efficacy and safety of Romosozumab in treatment for low bone mineral density: a systematic review and meta-analysis

Journal: Clinical Rheumatology

Date: 2020

DOI: 10.1007/S10067-020-04948-1

WOSUID: WOS:000531129700001

Bevacizumab and erlotinib versus bevacizumab for colorectal cancer treatment: systematic review and meta-analysis

Journal: International Journal of Clinical Pharmacy

Date: 2019

DOI: 10.1007/S11096-018-0754-1

WOSUID: WOS:000458652000008

Comparative efficacy of ivabradine versus beta-blockers in patients with mitral stenosis in sinus rhythm: systematic review and meta-analysis

Journal: International Journal of Clinical Pharmacy

Date: 2019

DOI: 10.1007/S11096-018-00778-Z

WOSUID: WOS:000458652000007

Health technology assessment of Bevacizumab compare with combination of Bevacizumab with Erlotinib for treatment of patients with metastatic colorectal cancer

DOI: 10.22037/IPA.V1I1.20015

The Efficacy of Ivabradine versus Beta Blockers in Comparison of Atenolol and Metoprolol in Patients with Mitral Stenosis in Sinus Rhythm: A Systematic Review and Meta-Analysis

DOI: 10.22037/IPA.V1I1.20006