Natalia Herman-Sanchez | Bioinformatics | Young Scientist Award

Ms. Natalia Herman-Sanchez | Bioinformatics | Young Scientist Award

University of Cordoba | Spain

PUBLICATION PROFILE

Orcid

👩‍🔬 INTRODUCTION

Natalia Hermán-Sánchez is a talented pre-doctoral researcher at the University of Córdoba, Spain. She is dedicated to advancing biomedical research, particularly in the study of liver diseases and cancer. Through her work, Hermán-Sánchez is exploring vital molecular processes, such as RNA splicing and SUMOylation, which play key roles in liver cancer development. As an FPU grant recipient, her contributions are shaping the future of scientific research in this critical area.

🎓 EARLY ACADEMIC PURSUITS

Natalia’s academic journey began with a strong foundation in biochemistry at the University of Córdoba, where she earned her Bachelor’s degree in 2020. She then pursued a Master’s degree in Translational Biomedical Research, completed in 2021, and also obtained a diploma in Bioinformatics Analysis from the University Pablo de Olavide in 2024. These accomplishments laid the groundwork for her deep dive into the molecular biology of cancer and liver diseases.

🧑‍💼 PROFESSIONAL ENDEAVORS

Since 2021, Hermán-Sánchez has been working as a pre-doctoral researcher at the University of Córdoba under the FPU grant program. Her professional focus has been centered on understanding liver diseases and hepatocellular carcinoma (HCC). She is specifically investigating the roles of RNA splicing factors and other molecular mechanisms involved in disease progression, with the aim of discovering novel biomarkers and therapeutic targets.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Hermán-Sánchez’s research is at the forefront of liver disease and cancer research. She has contributed significantly to studies on RNA splicing, SUMOylation, and the post-transcriptional regulation of genes in liver cancer. Her work aims to uncover new diagnostic and prognostic markers, with several impactful publications in top-tier journals like Cell Reports and Experimental & Molecular Medicine. Through this research, she is shaping our understanding of liver cancer biology and offering potential pathways for clinical interventions.

🌍 IMPACT AND INFLUENCE

Hermán-Sánchez’s research is making waves in the scientific community, particularly in the study of liver cancer. Her work has been widely cited and has influenced ongoing research in cancer biology and liver diseases. By presenting her findings at major international conferences such as the European Association for the Study of the Liver (EASL), she is contributing to the global conversation on liver cancer and molecular oncology, solidifying her place as an emerging leader in the field.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Natalia’s growing list of scientific publications reflects her significant contributions to the fields of hepatology and cancer research. Her research on RNA splicing factors in hepatocellular carcinoma has gained significant attention in the scientific community. These publications underscore her potential as a rising star in biomedical research, with a focus on advancing our understanding of cancer and chronic liver diseases.

🏅 HONORS & AWARDS

Throughout her academic journey, Hermán-Sánchez has received recognition for her work, including invitations to present at prestigious scientific events. Her research has earned her several honors and awards, highlighting her potential as a future leader in biomedical research. Her presentations at conferences have been recognized for their scientific merit, showcasing her contributions to liver cancer research.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

As she continues her research, Hermán-Sánchez is poised to make lasting contributions to the field of biomedical science. Her exploration of molecular mechanisms in liver cancer holds the potential to uncover new therapeutic strategies and diagnostic tools, benefiting patients worldwide. Her continued dedication to understanding the biology of liver diseases ensures that her future work will have a profound impact on clinical practices and cancer treatment.

💬 FINAL CONCLUSION

In summary, Natalia Hermán-Sánchez is a promising and impactful researcher whose work is helping to redefine our understanding of liver cancer and disease. Through her academic achievements, professional experience, and groundbreaking research, she is paving the way for new diagnostic and therapeutic approaches that could ultimately improve patient outcomes. Hermán-Sánchez’s future contributions to biomedical research and clinical medicine are poised to leave a lasting legacy in the fight against liver diseases and cancer.

 📚 TOP NOTES PUBLICATIONS

PRPF8 increases the aggressiveness of hepatocellular carcinoma by regulating FAK/AKT pathway via fibronectin 1 splicing
    • Authors: Juan L. López-Cánovas, Natalia Hermán-Sánchez, Mercedes del Rio-Moreno, Antonio C. Fuentes-Fayos, Araceli Lara-López, Marina E. Sánchez-Frias, Víctor Amado, Rubén Ciria, Javier Briceño, Manuel de la Mata et al.
    • Journal: Experimental & Molecular Medicine
    • Year: 2023-01-06
Spliceosomal profiling identifies EIF4A3 as a novel oncogene in hepatocellular carcinoma acting through the modulation of FGFR4 splicing
    • Authors: Juan L. López‐Cánovas, Natalia Hermán‐Sánchez, Maria Trinidad Moreno‐Montilla, Mercedes del Rio‐Moreno, Emilia Alors‐Perez, Marina E. Sánchez‐Frias, Víctor Amado, Rubén Ciria, Javier Briceño, Manuel de la Mata et al.
    • Journal: Clinical and Translational Medicine
    • Year: 2022-11
Multidisciplinary Prehabilitation and Postoperative Rehabilitation for Avoiding Complications in Patients Undergoing Resection of Colon Cancer: Rationale, Design, and Methodology of the ONCOFIT Study
    • Authors: Amaro-Gahete, FJ, Javier Jurado, Andrea Cisneros, Pablo Corres, Andres Marmol-Perez, Francisco J. Osuna-Prieto, Manuel Fernández-Escabias, Estela Salcedo, Natalia Hermán-Sánchez, Manuel D. Gahete et al.
    • Journal: Nutrients
    • Year: 2022-11-03
Dysregulation of splicing variants and spliceosome components in breast cancer
    • Authors: Manuel D Gahete, Natalia Herman-Sanchez, Antonio C Fuentes-Fayos, Juan L Lopez-Canovas, Raúl M Luque
    • Journal: Endocrine-Related Cancer
    • Year: 2022-09-01
Morphofunctional and Molecular Assessment of Nutritional Status in Head and Neck Cancer Patients Undergoing Systemic Treatment: Role of Inflammasome in Clinical Nutrition
    • Authors: Soraya León-Idougourram, Jesús M. Pérez-Gómez, Concepción Muñoz Jiménez, Fernando L-López, Gregorio Manzano García, María José Molina Puertas, Natalia Herman-Sánchez, Rosario Alonso-Echague, Alfonso Calañas Continente, María Ángeles Gálvez Moreno et al.
    • Journal: Cancers
    • Year: 2022-01-19

JungWei Chen | Algorithm Development | Best Researcher Award

Dr. JungWei Chen l Bioinformatics | Best Researcher Award

Loma Linda University, United States

Author Profile

Scopus

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🏛️ Early Academic Pursuits

Dr. Jung-Wei Chen’s academic journey began at the School of Dentistry, Taipei Medical College, in Taiwan, where she earned her Doctor of Dental Surgery (DDS) degree in 1996. She then pursued specialized training in Pediatric Dentistry at the University of Maryland at Baltimore, completing a Master of Science (MS) in Oral Biology along with a two-year pediatric dentistry residency program. Recognizing the growing role of technology in healthcare, she furthered her education in Health Informatics, obtaining both a Master of Science (2002) and a Doctor of Philosophy (2007) from the University of Texas at Houston, School of Health Information Science.

👩‍⚕️ Professional Endeavors

Dr. Chen has built an esteemed career in pediatric dentistry education and leadership. She has been a part of the Loma Linda University School of Dentistry since 2008, where she has held various positions, including Program Director and Chair of the Advanced Specialty Education Program in Pediatric Dentistry. She has also served as a faculty member at the University of Texas Dental Branch at Houston, holding positions from Clinical Assistant Professor to Interim Program Director. Throughout her career, Dr. Chen has been committed to advancing pediatric dental education and training future specialists.

📚 Contributions and Research Focus On Bioinformatics

Dr. Chen’s research spans across pediatric dentistry, health informatics, and dental education. Her expertise in digital health solutions has contributed to improving pediatric oral healthcare through informatics-driven methodologies. Her research interests include dental caries prevention, oral health disparities, electronic health records (EHR) in dentistry, and the application of artificial intelligence in dental diagnostics. She has also contributed significantly to the development of interdisciplinary approaches integrating technology and pediatric dentistry.

🌎 Impact and Influence

Dr. Chen’s influence extends beyond academia. Her role in mentoring pediatric dental residents has shaped the next generation of specialists, instilling in them a passion for both clinical excellence and research innovation. She has actively contributed to professional organizations, participated in national health initiatives, and played a role in shaping policies on pediatric dental care. Her leadership at Loma Linda University has strengthened the institution’s standing as a leader in pediatric dental education.

🏅 Academic Citations and Recognitions

As a respected researcher and educator, Dr. Chen has numerous academic citations in high-impact journals related to pediatric dentistry and health informatics. She has received prestigious fellowships, including the National Library of Medicine Fellowship and the National Institutes of Health Traineeship (UT-TORCH), reflecting her contributions to biomedical research and informatics.

🖥️ Technical Skills and Innovations

Dr. Chen’s expertise includes electronic health records (EHR) integration in pediatric dentistry, data analytics for oral health research, AI applications in diagnostics, and dental informatics. Her background in health informatics enables her to bridge the gap between technology and clinical practice, improving treatment outcomes and patient management systems.

🎓 Teaching Experience and Mentorship

As a full-time professor, Dr. Chen has been instrumental in designing curricula, supervising research, and leading residency training. Her mentorship has guided numerous students and young faculty members toward clinical and academic success. Under her leadership, the Advanced Specialty Education Program in Pediatric Dentistry at Loma Linda University has gained recognition for its excellence in training and research.

🔮 Legacy and Future Contributions

Dr. Chen’s legacy in pediatric dentistry, health informatics, and academic leadership is firmly established. Moving forward, she aims to expand the integration of AI in dental education, enhance research on pediatric oral health disparities, and continue mentoring future specialists. Her dedication to innovation, education, and patient-centered care ensures a lasting impact on the field of pediatric dentistry.

📖 Top Noted Publications

Teledentistry for Pediatric Dental Emergency: Comparison Between Experienced and Novice Users
    • Authors: Huang, C.-C., Chen, J.-W.
    • Journal: Bioengineering
    • Year: 2024
Principles and care pathways for caries management in children: IAPD Rome forum
    • Authors: Tinanoff, N., Banerjee, A., Buzalaf, M.A.R., Twetman, S., Vargas, K.
    • Journal: International Journal of Paediatric Dentistry
    • Year: 2024
Incisor liability and its effects among East Asian children
    • Authors: Sun, K.-T., Huang, Y.-H., Hsu, J.-T., Tsai, M.-C., Chen, J.-W.
    • Journal: Journal of the Formosan Medical Association
    • Year: 2022
Comparison of Different Clinical Decision Support Tools in Aiding Dental and Medical Professionals in Managing Primary Dentition Traumatic Injuries
    • Authors: Huh, A.J.H., Chen, J.-W., Bakland, L., Goodacre, C.
    • Journal: Pediatric Emergency Care
    • Year: 2022
Using the Timmer Scale to Standardize Pediatric Dentistry Residents’ Scientific Appraisal Skills
    • Authors: Omar, S., Bauer, J., Matin, A., Chen, J.-W., Ocampo, M.
    • Journal: MedEdPORTAL: The Journal of Teaching and Learning Resources
    • Year: 2021
An Investigation of the Long and Short Term Behavioral Effects of General Anesthesia on Pediatric Dental Patients With Autism
    • Authors: Tran, J., Chen, J.-W., Trapp, L., McCormack, L.
    • Journal: Frontiers in Oral Health
    • Year: 2021

Neda Fayyazi | Bioinformatics | Excellence in Innovation

Dr. Neda Fayyazi | Bioinformatics | Excellence in Innovation

ogen/ medical iincubator, Iran

 Author Profile 📚

Google Scholar

Early Academic Pursuits 🎓

Dr. Neda Fayyazi’s academic journey is marked by significant achievements, beginning with her Ph.D. in Pharmaceutical and Medicinal Chemistry from Isfahan University of Medical Sciences, which she completed between February 2015 and October 2019. Her outstanding academic performance earned her a top rank (A) with a GPA of 3.60. Dr. Fayyazi’s thesis, titled Molecular modeling, synthesis, and biological evaluation of hybrid multi-target iron chelators for anticancer and antimalarial applications, was highly regarded, securing an Excellent Rank (A). Her interdisciplinary focus on combining computational techniques and medicinal chemistry positions her as an emerging leader in the field.

Professional Endeavors 💼

Dr. Fayyazi’s professional experience spans academia and industry, with roles in pharmaceutical companies and research institutions. She has worked with leading organizations, including TPCO Holding, Pars Darou Pharmaceutical Company, and Barkat Holding. Her roles involved product development, technology transfer, and research in the areas of pharmaceutical formulations, softgel production, and drug discovery. As a board member of Ozhan Pharma Group and an active participant in various projects, Dr. Fayyazi continues to bridge the gap between scientific research and commercial application.

Contributions and Research Focus 🔬

Dr. Fayyazi’s research contributions are primarily in the field of Medicinal Chemistry, with a focus on drug design, molecular modeling, and hybrid molecule synthesis. Her work on molecular dynamics simulations and protein-ligand interactions using cutting-edge tools like Gromacs, GOLD, and Discovery Studio has been instrumental in advancing the understanding of drug interactions at the molecular level. Additionally, she is passionate about developing novel drug delivery systems, particularly in sustained-release formulations, and exploring natural products for therapeutic potential. Her research integrates AI and machine learning approaches in drug discovery, a testament to her forward-thinking methodology.

Impact and Influence 🌍

Dr. Fayyazi has had a significant impact on the pharmaceutical industry and academia through her work in drug discovery, technology transfer, and industry collaboration. Her expertise in bioassay-guided screening and cancer therapy research has led to breakthroughs in medicinal chemistry, especially in the development of multi-target anticancer agents. As a member of various prestigious associations such as the European Bioinformatics Association and the American Chemical Society, she has contributed to the global advancement of biotechnology and pharmaceutical sciences. Her work has garnered recognition, including a prize for innovative ideas in drug research at the Euro Chemistry Conference in Berlin (2019).

Academic Cites and Research Recognition 📑

Dr. Fayyazi’s academic publications and research outputs are highly cited in the fields of molecular modeling and pharmaceutical sciences. Her collaborations with research institutions and pharmaceutical companies have cemented her reputation as a thought leader in medicinal chemistry. Notably, her research on iron chelators and cancer treatment has positioned her as a pivotal figure in advancing drug discovery methodologies. Her work is frequently referenced in studies related to drug design, molecular dynamics, and natural product research.

Technical Skills and Expertise 🧑‍🔬

Dr. Fayyazi’s technical proficiency extends across a broad spectrum of advanced scientific methods and tools. She is highly skilled in QSAR (Quantitative Structure-Activity Relationship), molecular dynamics simulations, and protein-ligand interactions. Her ability to synthesize hybrid compounds, coupled with her expertise in computational chemistry and machine learning, allows her to investigate complex biochemical interactions and design novel therapeutic agents. Furthermore, her knowledge of Linux environments, scripting, and drug discovery processes in natural products underscores her broad technical competence.

Teaching Experience 📚

Dr. Fayyazi’s passion for teaching is evident in her role as an educator at Isfahan University of Medical Sciences, where she has taught undergraduate students in organic chemistry, pharmacology, and computational chemistry. She has also supervised and mentored numerous master’s and Ph.D. students in the fields of medicinal chemistry and bioassays. Her teaching methods emphasize interdisciplinary approaches, integrating cutting-edge technology and scientific research into practical applications.

Legacy and Future Contributions 🌟

Looking ahead, Dr. Fayyazi’s future contributions are poised to continue shaping the pharmaceutical and biotechnology sectors. Her ongoing projects in controlled release formulations, softgel technology transfer, and sustained-release drug delivery systems demonstrate her commitment to improving patient outcomes through innovative therapeutic solutions. As she works to bridge the gap between academic research and industry applications, Dr. Fayyazi aims to inspire the next generation of scientists and continue her impactful work in drug design and natural product research.

Honor and Awards 🏆

Dr. Fayyazi’s career has been punctuated with numerous accolades, including the Best Score in the National Entrance Exam for Pharmaceutical Projects in 2001, the Productivity Management Prize at Soha Pharmaceutical Company (2010), and the prestigious PhD Scholarship for Medicinal Chemistry at Isfahan University. These awards reflect her unwavering dedication to excellence and innovation in both academic and industrial settings.

 

Top Noted Publications 📖

Molecular dynamics simulation and 3D-pharmacophore analysis of new quinoline-based analogues with dual potential against EGFR and VEGFR-2
    • Authors: N. Fayyazi, A. Fassihi, S. Esmaeili, S. Taheri, J.B. Ghasemi, L. Saghaie
    • Journal: International Journal of Biological Macromolecules
    • Year: 2020
Pharmacophore modeling, synthesis, scaffold hopping and biological β-Hematin inhibition interaction studies for anti-malaria compounds
    • Authors: N. Fayyazi, S. Esmaeili, S. Taheri, F.F. Ribeiro, M.T. Scotti, L. Scotti, …
    • Journal: Current Topics in Medicinal Chemistry
    • Year: 2019
Molecular dynamics simulation, 3D-pharmacophore and scaffold hopping analysis in the design of multi-target drugs to inhibit potential targets of COVID-19
    • Authors: N. Fayyazi, T. Mostashari-Rad, J.B. Ghasemi, M.M. Ardakani, F. Kobarfard
    • Journal: Journal of Biomolecular Structure and Dynamics
    • Year: 2022
Design, synthesis, in silico studies, and antiproliferative evaluations of novel indolin-2-one derivatives containing 3-hydroxy-4-pyridinone fragment
    • Authors: P. Shirvani, N. Fayyazi, S. Van Belle, Z. Debyser, F. Christ, L. Saghaie, …
    • Journal: Bioorganic & Medicinal Chemistry Letters
    • Year: 2022
Phytochemical analysis and purification of chief components of Ononis spinosa
    • Authors: N. Fayyazi, F. Naghibi, S. Taheri
    • Journal: N/A
    • Year: 2014
A new insight into the mechanism of loading of Granisetron, Naltrexone and Risperidone in poly (ortho ester) and poly (lactic-co-glycolic acid) as the controlled release drug
    • Authors: L. Karami, N. Fayyazi, M. Akbari, A. Molaei-Baghbanan, M. Maaza
    • Journal: Journal of Drug Delivery Science and Technology
    • Year: 2024

Shuaa S. Alharbi | Bioimage informatics | Best Researcher Award

Dr. Shuaa S. Alharbi | Bioimage informatics | Best Researcher Award

Doctorate at Department of Information Technology, College of Computer, Qassim University, Saudi Arabia

👨‍🎓Professional Profiles

Orcid Profile

Scopus Profile

👩‍💻 Summary

Dr. Shuaa S. Alharbi is an Assistant Professor in the Department of Information Technology at the College of Computer, Qassim University, Saudi Arabia. With a strong interdisciplinary background, she specializes in machine learning and image processing, particularly their applications in biomedical fields. Her research focuses on leveraging deep learning techniques to analyze medical images and improve diagnostic accuracy. Dr. Alharbi is dedicated to advancing bioinformatics and medical image analysis using cutting-edge technology.

🎓 Education

Dr. Alharbi holds a Ph.D. in Computer Science from Durham University, UK (2020), and both an M.Sc. and B.Sc. in Computer Science from Qassim University (2007) and King Saud University (2014), respectively. Her academic journey has provided her with a solid foundation in computer science, further augmented by extensive research in machine learning and bioimaging.

💼 Professional Experience

Dr. Alharbi has accumulated years of academic experience. She started as a Teaching Assistant at Qassim University in 2008, then progressed to Lecturer in 2015. Since 2020, she has served as an Assistant Professor at the same institution. Throughout her career, she has mentored students and contributed significantly to the academic environment at Qassim University, particularly in the Information Technology Department.

📝 Academic Committees & Administrative Roles

Dr. Alharbi has been deeply involved in various administrative roles at Qassim University. She served as E-content Supervisor (2020-2022), and currently coordinates the IT Department (2020-present). She is also a Postgraduate Supervisor (2023-present) and has been a Permanent Member of the Standing Committee for Assistance in the Scientific Council since 2023, contributing to the advancement of educational practices and research policies at the university.

🔬 Research Interests

Dr. Alharbi’s research interests are at the intersection of machine learning, image processing, and bioinformatics. She focuses on the application of deep learning for medical image analysis, working to enhance disease detection and diagnostic precision. Her work includes developing novel deep learning architectures and data-driven models to solve complex problems in medical and biological imaging.

🖥️ Technical Skills

Dr. Alharbi is proficient in a range of technical skills, including machine learning and deep learning frameworks, image and signal processing, computer graphics, and bioinformatics. She is experienced with programming languages such as Python, MATLAB, C++, and Java, and is adept at using these tools to solve complex problems in medical image analysis and other interdisciplinary fields.

📚 Teaching Experience

In addition to her research, Dr. Alharbi has taught several graduate-level courses, including Data Science, Computer Graphics, and Health Information Systems. She has also supervised Master’s theses in fields like cybersecurity, blockchain, and medical image processing, contributing to the academic growth of students in the Information Technology and Cybersecurity programs.

🌍 Conferences & Seminars

Dr. Alharbi has presented her work at prestigious international conferences, such as the IEEE BIBM International Conference on Bioinformatics and Biomedicine (Spain) and the Medical Image Computing Summer School at UCL (London). These platforms have allowed her to collaborate with global experts and stay at the forefront of research in bioimaging and machine learning.

💡 Research Grants

Dr. Alharbi was awarded a Coffee Research Grant from the Saudi Ministry of Culture, under the Saudi Heritage Preservation Society, showcasing her active involvement in research funding and promoting innovation in her fields of expertise.

 

📖 Top Noted Publications

Liu Yang | Bioinformatics | Best Researcher Award

Prof Dr. Liu Yang | Bioinformatics | Best Researcher Award

Prof Dr. Liu Yang at Department of General Surgery, Jiangsu Cancer Hospital, China

👨‍🎓 Profile

👨‍⚕️ Current Position

Prof. Dr. Yang Liu is a Chief Physician and Associate Professor, serving as the Deputy Head of General Surgery at Jiangsu Cancer Hospital and the Head of Colorectal Surgery at Nanjing Medical University.

📜 Summary

Yang Liu is a prominent figure in colorectal surgery, also acting as a Master’s Supervisor and visiting overseas researcher at Thomas Jefferson University’s BluConner Hospital. His work has earned him multiple accolades in cancer research.

🎓 Education

Yang has completed his medical degree and advanced training in colorectal surgery, although specific institutions are not detailed here.

🏥 Professional Experience

With a focus on complex minimally invasive surgeries, he performs over 150 advanced procedures annually and actively participates in various national and provincial medical associations.

🔬 Research Interests

His research primarily explores ncRNA genomics in relation to colorectal cancer progression and metastasis, alongside developing innovative surgical techniques.

💡 Patents

Yang holds several patents, including:

  • 2024: Combination of Scutellarein for colorectal cancer treatment.
  • 2023: Multi-angle puncture holder.
  • 2020: Circ-0000423 for colorectal cancer drug development.
  • 2019: Surgical retractor for lower abdominal tumors.

🏆 Awards

He has received notable awards such as:

  • 2021: 2nd Prize for New Medical Technology in Jiangsu for epigenetic fusion in colorectal cancer.
  • 2019: 2nd Prize for his study on LINC00152 in colorectal cancer.
📖  Top Noted Publications

LUCAT1 inhibits ferroptosis in bladder cancer by regulating the mRNA stability of STAT3

  • Authors: Cao, Y., Zou, Z., Wu, X., Hu, J., Yang, L.
    Journal: Gene
    Year: 2024

Magnetic resonance imaging-based lymph node radiomics for predicting the metastasis of evaluable lymph nodes in rectal cancer

  • Authors: Ye, Y.-X., Yang, L., Kang, Z., Du, M., Li, Z.-X.
    Journal: World Journal of Gastrointestinal Oncology
    Year: 2024

Emerging Role of ERBB2 in Targeted Therapy for Metastatic Colorectal Cancer: Signaling Pathways to Therapeutic Strategies

  • Authors: Wang, N., Cao, Y., Si, C., Bao, J., Yang, L.
    Journal: Cancers
    Year: 2022

FBXW7 and Its Downstream NOTCH Pathway Could be Potential Indicators of Organ-Free Metastasis in Colorectal Cancer

  • Authors: Li, D., Jiang, S., Zhou, X., Sun, Y., Yang, L.
    Journal: Frontiers in Oncology
    Year: 2022

Anal preservation on the psychology and quality of life of low rectal cancer

  • Authors: Mei, F., Yang, X., Na, L., Yang, L.
    Journal: Journal of Surgical Oncology
    Year: 2022