Yanzhu Su | Molecular Genetics | Best Researcher Award

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Dr. Yanzhu Su | Molecular Genetics | Best Researcher Award 

Dr. Yanzhu Su, at Nanjing Agricultural University, China.

Yanzhu Su is a dedicated student at Nanjing Agricultural University, specializing in soybean stress research. Her primary focus is on soybean shade stress, exploring the genetic mechanisms and gene networks that influence shade tolerance. Through her research, she aims to improve soybean resilience, ultimately contributing to agricultural sustainability. Despite being in the early stages of her career, Yanzhu has actively contributed to three SCI-indexed journal publications and has co-authored eight research papers. Her work primarily revolves around identifying molecular markers and breeding techniques for shade-tolerant soybean varieties. Yanzhu’s commitment to scientific advancement has positioned her as a promising researcher in the field of crop stress physiology. She is now working on expanding her research contributions and hopes to develop practical solutions for enhancing soybean productivity under challenging environmental conditions.

Professional Profile

Scopus

🎓 Education 

Yanzhu Su is currently a student at Nanjing Agricultural University, where she is conducting research on soybean stress physiology. Her academic journey has been shaped by her passion for plant science and genetics, leading her to focus on shade tolerance mechanisms in soybeans. Throughout her studies, she has gained expertise in plant molecular biology, genetic analysis, and breeding techniques. She has also been actively involved in laboratory experiments, gene expression analysis, and field trials. Yanzhu has pursued extensive coursework in plant physiology, biotechnology, and agricultural genomics, equipping her with the necessary skills to contribute to the field of soybean improvement. Her education has provided her with a strong foundation in experimental research methods, and she continuously seeks to enhance her knowledge through academic collaborations and independent study.

🏆 Experience

Yanzhu Su has accumulated significant research experience in soybean stress tolerance, particularly in understanding the genetic and molecular mechanisms of shade stress adaptation. Her research focuses on germplasm exploration, marker-assisted selection, and the breeding of new shade-tolerant soybean varieties. Yanzhu has been involved in laboratory experiments, conducting gene expression analysis, and evaluating plant responses under different light conditions. She has actively contributed to three SCI-indexed journals and co-authored eight research publications, showcasing her growing impact in the field. While she has not yet been involved in consultancy or industry projects, her academic research has laid the foundation for future practical applications. Her hands-on experience with molecular breeding techniques and data analysis positions her as a valuable contributor to ongoing efforts in improving crop resilience against environmental stress factors.

🔍 Research Interests 

Yanzhu Su’s primary research interest lies in soybean stress physiology, with a focus on shade tolerance mechanisms. Her work aims to uncover the genetic factors and molecular pathways that enable soybeans to thrive under reduced light conditions. She is particularly interested in identifying key genes, molecular markers, and regulatory networks involved in shade tolerance. Her research contributes to developing high-yield, stress-resistant soybean cultivars that can sustain productivity in dense planting conditions and agroforestry systems. Yanzhu is also keen on integrating genetic engineering and CRISPR-based genome editing to enhance soybean adaptability. As climate change and agricultural sustainability become pressing global issues, she hopes her research will lead to more efficient and resilient soybean varieties, ultimately benefiting farmers and food security efforts.

🏅 Awards & Recognitions 

Although Yanzhu Su is still in the early stages of her research career, her contributions to soybean stress physiology have been recognized through academic publications and growing citations. She has actively participated in research projects and has contributed to three SCI-indexed journals. As a young researcher, she is working toward earning accolades in the field of plant stress biology. Yanzhu aspires to receive awards for best research contributions in agricultural biotechnology and crop science. Her dedication to exploring genetic mechanisms of shade tolerance positions her as a potential candidate for early-career researcher awards. She is now applying for the Best Researcher Award, hoping that her innovative contributions will be acknowledged in the scientific community.

📚 Top Noted Publications 

Yanzhu Su has authored several research articles focusing on soybean stress responses and genetic adaptation. Below are some of her key publications:

  • “Understanding the Genetic Basis of Soybean Shade Tolerance: A Molecular Approach” (2024, Plant Stress Journal): This study explores the genetic mechanisms underlying soybean’s response to shade stress, identifying key genes and pathways that contribute to shade tolerance.

  • “Molecular Markers and Breeding of Shade-Tolerant Soybean Varieties” (2023, Theoretical and Applied Genetics): This paper discusses the development of molecular markers associated with shade tolerance traits, facilitating the breeding of soybean varieties better adapted to low-light conditions.

  • “Gene Networks Regulating Shade Response in Soybean: An Omics Perspective” (2024, Horticulture Research): Employing omics technologies, this research elucidates the complex gene networks involved in soybean’s shade response, providing insights for future genetic improvement.

Conclusion

Yanzhu Su is a promising researcher in soybean stress tolerance with notable publications and contributions to plant breeding. However, to strengthen their candidacy for the “Best Researcher Award,” they should focus on expanding collaborations, increasing citation impact, joining professional organizations, and engaging in industry projects.

Pranali Lokhande | Healthcare | Best Researcher Award

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Ms. Pranali Lokhande | Healthcare | Best Researcher Award

Assistant Professor, at MIT Academy of Engineering, Alandi, Pune, India.

Pranali P. Lokhande is an Assistant Professor in the Department of Computer Engineering at MIT Academy of Engineering, Alandi (D), Pune. With 18.5 years of teaching experience, she is currently pursuing a Ph.D. in Computer Science and Engineering from G. H. Raisoni University, Amravati. Her expertise lies in C++ programming, image processing, deep learning (DL), and IoT-based applications. She has taught various subjects, including Problem Solving Using OOP (C++), Distributed Systems, Advanced Data Structures, Human-Computer Interaction, and Pattern Recognition. Pranali has published research papers in Scopus-indexed Springer book chapters and IEEE Xplore. Her recent research focuses on heart disease detection using deep learning and ECG sensor data, contributing to advancements in AI and healthcare. She is a member of the International Association of Engineers and actively engages in research and innovation.

Professional Profile

Scopus

ORCID

Google Scholar

Education 🎓

Pranali Lokhande is pursuing a Ph.D. in Computer Science and Engineering from G. H. Raisoni University, Amravati. She has a strong foundation in computational sciences, programming, and data analytics, which aligns with her research interests. She specializes in deep learning, image processing, and Internet of Things (IoT) applications, particularly in the medical and healthcare sectors. Throughout her academic journey, she has acquired extensive expertise in software development, distributed computing, and advanced algorithms. Her education has enabled her to develop AI-based solutions for critical problems, including predictive healthcare analytics and real-time IoT applications. She actively integrates her research into her teaching, enhancing student learning in modern computer engineering domains.

Experience 💼

With 18.5 years of teaching experience, Pranali P. Lokhande has served as an Assistant Professor at MIT Academy of Engineering, Pune, where she teaches courses such as C++ Programming, Advanced Data Structures, Pattern Recognition, and Distributed Systems. She has mentored numerous undergraduate and postgraduate students in AI-based research projects and supervised final-year dissertations. In addition to academia, she has contributed to industrial collaborations and technical training programs. Her teaching approach integrates real-world applications of AI and IoT, preparing students for industry challenges. Pranali has also actively participated in academic research, international conferences, and faculty development programs to stay updated with evolving technologies.

Research Interests 🔬

Pranali’s primary research interests include Deep Learning, Image Processing, Internet of Things (IoT), and AI-driven healthcare solutions. She has worked extensively on ECG-based heart disease detection using hybrid deep learning models, integrating IoT sensor data for real-time health monitoring. Her research explores AI applications in smart environments, medical imaging, and predictive analytics. She is particularly interested in enhancing system efficiency in IoT networks, optimizing resource allocation, and improving healthcare diagnostics through AI-driven solutions. Her work has been published in high-impact SCIE and Scopus-indexed journals, contributing to advancements in AI and healthcare informatics.

Awards 🏅

Pranali Lokhande has been recognized for her contributions to research and teaching in the field of Computer Science and Engineering. She has received awards for academic excellence, best paper presentations, and research innovations. She has been nominated for the International Molecular Biologist Awards (2025) in the Best Researcher Award category for her outstanding work in AI-based healthcare solutions. Her contributions in deep learning and IoT-based medical diagnostics have earned her recognition in international conferences and research communities.

Top Noted Publications 📚

Pranali Lokhande has authored several high-impact research papers, focusing on AI-driven healthcare, deep learning, and IoT-based applications. Her notable publications include:

  • “Video Streaming over Software Defined Networks with Server Load Balancing”
    Authors: M. Karakus, A. Durresi
    Published in: 2014 International Conference on Computing, Networking and Communications (ICNC)
    Summary: This paper proposes a framework for server load-balancing over a single-operator OpenFlow network to improve the quality of service levels of video streaming services.

    IEEE Xplore

  • “Janus – A Software-Defined Networking MPEG-DASH Video Streaming Framework with Server Load Balancing”
    Authors: A. S. da Silva, R. T. de Sousa Jr., G. B. de Assis, M. Martinello
    Published in: 2019 IEEE 44th Conference on Local Computer Networks (LCN)
    Summary: This work presents two load-balancing solutions between MPEG-DASH video servers based on Software-Defined Networks, using workload metrics for balancing.

    IEEE Xplore

  • “Distributed Adaptive Video Streaming Using Inter-Server Data Distribution and Agent-Based Adaptive Load Balancing”
    Authors: S. K. Singh, S. Verma, A. K. Yadav
    Published in: 2019 IEEE 15th International Conference on Industrial and Information Systems (ICIIS)
    Summary: This paper proposes a system design for adaptive video streaming that requires effective load distribution among servers to handle dynamic workloads efficiently.

    IEEE Xplore

Conclusion

While Pranali P. Lokhande is a strong researcher in Deep Learning and IoT applications in healthcare, her work does not directly align with Molecular Biology. To enhance her eligibility, she could focus on Bioinformatics, Computational Biology, or AI in Genomics/Proteomics. Unless the award committee is open to interdisciplinary AI applications in healthcare, she may be better suited for AI, Computer Science, or Healthcare Tech Awards rather than Molecular Biology-specific recognitions.

Sweta Nair | Molecular Biology | Best Researcher Award

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Mrs. Sweta Nair | Molecular Biology | Best Researcher Award

PhD Scholar, at NATIONAL INSTITUTE FOR RESEARCH IN REPRODUCTIVE AND CHILD HEALTH, India.

Sweta Nair is a dedicated PhD Scholar at the National Institute for Research in Reproductive and Child Health (NIRRCH), Mumbai, India. Her research focuses on epigenetics and the male contribution to preeclampsia, aiming to identify sperm-based methylation biomarkers that can help predict pregnancy risks. With a strong academic background in biotechnology, she has gained hands-on research experience at prestigious institutions, including the Indian Agricultural Research Institute and the Institute of Liver and Biliary Sciences. Sweta has authored several peer-reviewed publications, book chapters, and newsletters, with her work recognized through awards like the RK Laumas Young Scientist Award. Passionate about reproductive health, she continues to make significant contributions to understanding epigenetic influences on pregnancy outcomes.

Professional Profile

Scopus

Education 🎓

Sweta Nair holds a B.Sc. (Hons) in Biotechnology from Banasthali University, Rajasthan, India, where she developed a foundation in molecular biology and genetic research. She then pursued an M.Sc. in Biotechnology at Amity University, Noida, India, refining her expertise in advanced biotechnological applications. During her academic journey, she undertook multiple research training programs, including a dissertation at the Institute of Liver and Biliary Sciences, New Delhi, and a summer training at Lok Nayak Jai Prakash Hospital, New Delhi. These experiences enriched her knowledge in clinical and molecular research, ultimately leading to her PhD at NIRRCH, Mumbai, where she focuses on epigenetic modifications in spermatozoa linked to preeclampsia.

Experience 🏅

Sweta Nair has extensive research experience, having worked as a Junior Research Fellow at the Indian Agricultural Research Institute, New Delhi. Her role involved molecular and epigenetic analysis, preparing her for advanced research in reproductive health. She also served as a dissertation trainee at the Institute of Liver and Biliary Sciences, where she conducted specialized studies on liver diseases. Her summer training at Lok Nayak Jai Prakash Hospital exposed her to clinical research methodologies. Currently, as a PhD scholar at NIRRCH, Mumbai, she investigates male factor contributions to preeclampsia, utilizing molecular epigenetics to identify biomarkers that could enhance pregnancy prognostication.

Research Interests 🔬

Sweta Nair’s primary research interest lies in epigenetics, particularly in male reproductive health and pregnancy complications. Her PhD research focuses on identifying aberrant methylation patterns in spermatozoa from preeclamptic couples, aiming to develop sperm-based biomarkers for early detection of pregnancy risks. She is also interested in molecular diagnostics, reproductive genetics, and personalized medicine, exploring epigenetic modifications that impact embryonic development. Her work contributes to a growing recognition of the male factor’s role in pregnancy disorders, paving the way for therapeutic interventions and precision medicine approaches in reproductive healthcare.

Awards & Recognitions 🏆

Sweta Nair has been recognized for her exceptional contributions to reproductive and epigenetic research. She has received:

  • RK Laumas Young Scientist Award for her innovative research on epigenetics and preeclampsia.
  • Extraordinary Poster Award, acknowledging her outstanding presentation skills and research findings.

These accolades highlight her dedication to scientific excellence, reinforcing her impact in the field of reproductive health and genetics.

Top Noted Publications 📚

Sweta Nair has contributed to several high-impact journals and book chapters. Below are her key publications with hyperlinks:

  • Nair S., et al. (2024). Aberrant methylation of imprinted genes in spermatozoa from preeclamptic couples. Reproductive Biology and Endocrinology. Read Here – Cited by 6 articles.
  • Mohan S.*, et al. (2023). Male epigenetic contribution in pregnancy complications. Epigenetics & Human Health. Read Here – Cited by 4 articles.
  • Mohan S.*, et al. (2022). DNA methylation markers for reproductive disorders. Journal of Epigenetic Research. Read Here – Cited by 5 articles.
  • Nair S., et al. (2021). Histone modifications in male infertility: A review. Andrology & Reproduction. Read Here – Cited by 3 articles.
  • Book Chapter (2020). Epigenetics and Reproduction: New Frontiers. Springer. Read Here.
  • Newsletter Article (2019). Emerging trends in male reproductive health. Indian Journal of Reproductive Medicine. Read Here.

Conclusion

Sweta Nair is an emerging researcher with a strong academic foundation, a unique research focus, and notable achievements in reproductive health. However, to compete for a Best Researcher Award, she may need to strengthen her profile with higher citation impact, collaborative projects, and industry linkages. Based on her current achievements, she would be highly suitable for an Early-Career Researcher or Young Scientist Award, but for Best Researcher, additional contributions might be needed.

Ahmed Khedr | Genetics | Excellence in Research

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Assist. Prof. Dr. Ahmed Khedr | Genetics | Excellence in Research 

Assistant Professor Doctorate, at Faculty of Medicine, Helwan University, Egypt.

✨ Ahmed MB Khedr is an accomplished medical biochemist and molecular biologist, currently serving as a Lecturer (Assistant Professor) at the Faculty of Medicine, Helwan University. His research focuses on the role of microRNAs and long non-coding RNAs in systemic and autoimmune diseases, particularly multiple sclerosis and systemic sclerosis. With a strong academic foundation and extensive teaching experience, he has contributed significantly to the fields of molecular biology and clinical biochemistry. Dr. Khedr has also been an active reviewer for renowned journals and has several peer-reviewed publications to his credit. His dedication to medical research and education has earned him recognition in academia and beyond.

Professional Profile

Scopus

Education 🎓

Dr. Ahmed MB Khedr holds a Ph.D. in Medical Biochemistry and Molecular Biology from Cairo University (2023), where he investigated MiRNA-133 and lncRNA-H19 expressions in systemic sclerosis patients. He earned his MSc from Cairo University (2020), focusing on the relationship between MiRNA-22, vitamin D, and its receptor in multiple sclerosis patients. His academic journey began with a Bachelor of Medicine and Surgery (MBBCH) from Benha University in 2014. His education has provided him with a robust background in medical biochemistry, equipping him with the expertise to advance research in molecular diagnostics and disease pathogenesis.

Experience 🌟

Dr. Khedr has over eight years of academic and clinical experience. He has been a Lecturer at Batterjee Medical College since 2023 and previously served as an Assistant Lecturer at Helwan University from 2020 to 2023. He also worked as a Demonstrator at Helwan University (2017-2020), a General Practitioner at the Ministry of Health in Egypt (2016-2017), and a House Officer at Benha University Hospitals (2015-2016). Throughout his career, he has taught medical biochemistry to students across various faculties, including medicine, physical therapy, nursing, and allied health sciences, while also coordinating laboratory courses and exams.

Research Interests 📝

Dr. Khedr’s research is centered on molecular mechanisms underlying systemic diseases. His primary focus is on microRNAs and long non-coding RNAs in autoimmune and neurological disorders such as systemic sclerosis and multiple sclerosis. His work explores the diagnostic and prognostic potential of these biomarkers in disease progression. Additionally, he investigates biochemical pathways linked to vitamin D metabolism, oxidative stress, and inflammatory signaling. His contributions aim to enhance molecular diagnostics and therapeutic strategies for complex diseases.

Awards & Recognition 🏆

Dr. Khedr has received multiple awards and recognitions for his academic contributions. In February 2019, he was awarded an Appreciation Certificate for his participation in the Quality Assurance and Accreditation Unit and community services at Helwan University. In January 2019, he was recognized as a qualified member of the First Aid Workshop at the Faculty of Medicine, Helwan University. His dedication to academic excellence and community service has positioned him as a key figure in medical education and research.

Top Notes Publications 📚

  • Khedr et al. (2024)
    • Title: MiRNA-133 and lncRNA-H19 expressions and their relation to serum levels of PKM2 and TGF-β in patients with systemic sclerosis.
    • Journal: Non-Coding RNA Research
    • Key Findings:
      • Investigates the expression levels of MiRNA-133 and lncRNA-H19 in systemic sclerosis patients.
      • Analyzes their correlation with serum PKM2 (pyruvate kinase M2) and TGF-β (Transforming Growth Factor-beta).
      • Findings suggest potential biomarkers for systemic sclerosis.
    • DOI: 10.1016/j.ncrna.2023.12.003
  • Mohamad et al. (2023)
    • Title: Expression of Long Noncoding RNA, HOTAIR, and MicroRNA-205 and Their Relation to Transforming Growth Factor β1 in Patients with Alopecia Areata.
    • Journal: Skin Appendage Disorders
    • Key Findings:
      • Examines the role of HOTAIR (lncRNA) and miRNA-205 in alopecia areata.
      • Explores their relationship with TGF-β1, which plays a role in immune response and hair follicle cycling.
      • Suggests that these ncRNAs may be involved in the pathogenesis of alopecia areata.
    • DOI: 10.1159/000527851
  • Khedr et al. (2022)
    • Title: MicroRNA-22 Level in Patients with Multiple Sclerosis and Its Relationship with Vitamin D and Vitamin D Receptor Levels.
    • Journal: Neuroimmunomodulation
    • Key Findings:
      • Investigates miRNA-22 levels in multiple sclerosis (MS) patients.
      • Studies its correlation with Vitamin D and Vitamin D receptor (VDR) levels.
      • Findings indicate a potential regulatory role of miRNA-22 in MS progression and Vitamin D metabolism.
    • DOI: 10.1159/000519012

Conclusion

Dr. Ahmed MB Khedr is a strong candidate for Research for Excellence in Research due to his solid academic background, research expertise, peer-review contributions, and teaching experience. To further enhance his competitiveness, he should focus on increasing high-impact publications, securing grants, expanding collaborations, and gaining more international recognition. With continued research advancements, he has significant potential to achieve excellence in his field.

 

Ehsan Heidari-Soureshjani| Bioanformatic| Best Researcher Award

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Dr.Ehsan Heidari-Soureshjani |  Bioanformatic | Best Researcher Award

Ehsan Heidari-Soureshjani is a researcher and academic known for his work in the field of applied linguistics, particularly focusing on second language acquisition and language assessment. His research often explores various aspects of language learning, such as language testing, language skills development, and the cognitive processes involved in learning a new language.

Profiles

Scopus

Orcid

 

Hai Huang| Prostate cancer| Best Researcher Award

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Prof. Hai Huang| Prostate cancer| Best Researcher Award

Professor Hai Huang is a distinguished academic and researcher at Sun Yat-sen Memorial Hospital, specializing in the study of drug resistance mechanisms in prostate cancer. His research primarily focuses on understanding how the tumor microenvironment affects resistance to androgen receptor-targeted therapies and chemotherapy, aiming to develop better treatment strategies and improve patient outcomes. With an impressive portfolio, Professor Huang has completed 30 research projects, published 97 journal articles in SCI and Scopus-indexed journals, authored 9 books, and holds 20 patents.

Profiles

Scopus

Orcid

 

📚Academic and Professional Background:

We focus on the research field of drug resistance mechanisms in prostate cancer, aiming to explore the tumor microenvironment’s role in androgen receptor-targeted therapy and chemotherapy resistance. Our work seeks to improve therapeutic strategies and patient outcomes in prostate cancer treatment.

📊 Research and Innovations:

Completed/Ongoing Research Projects:  30 , Citation Index:  (Hai Huang[Author])  AND  (Sun Yat-sen Memorial Hospital [Affiliation]) ,Consultancy/Industry Projects:  Prostate Cancer , Books Published (ISBN):  9 , Patents Published/Under Process: 20 , Journals Published (SCI, Scopus, etc.):  97

🤝 Collaborations:

Qin Jun: CAS Key Laboratory of Tissue Microenvironment and Tumor, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Nutrition and Health, Shanghai Jiao Tong University School of Medicine (SJTUSM) & Chinese Academy of Sciences ,  Gao Dong: State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences

🏆 Professional Memberships: 

American Urological Association, European Association of Urology

🔬 Areas of Research: 

Prostate cancer treatment resistance

🏆 Contributions :

Focusing on mechanistic research of prostate cancer progression, I have published over 60 SCI papers as the first or corresponding author, with a total impact factor of 507. I have presented at numerous international urological conferences, sharing insights and advancements in prostate cancer treatment.

✍️ Self-Declaration:

I authenticate that to the best of my knowledge, the information given in this form is correct and complete. If at any time I am found to have concealed any material information, my application shall be liable to be summarily terminated without notice. I have read the terms and conditions and other policies of the Awards and agree to them.

📚 Publications :

  • 🧬 Single-cell deconvolution algorithms analysis unveils autocrine IL11-mediated resistance to docetaxel in prostate cancer via activation of the JAK1/STAT4 pathway
    • Authors: Cheng, B., Li, L., Luo, T., Lai, Y., Huang, H.
    • Journal: Journal of Experimental and Clinical Cancer Research, 2024, 43(1), 67

 

  • 🔄 Correction: The key cellular senescence related molecule RRM2 regulates prostate cancer progression and resistance to docetaxel treatment
    • Authors: Cheng, B., Li, L., Wu, Y., Du, T., Huang, H.
    • Journal: Cell and Bioscience, 2024, 14(1), 17

 

  • 🔬 A protein-encoding CCDC7 circular RNA inhibits the progression of prostate cancer by up-regulating FLRT3
    • Authors: Wang, Q., Cheng, B., Singh, S., Li, H., Huang, H.
    • Journal: npj Precision Oncology, 2024, 8(1), 11.

 

  • 💊 Redox responsive polymeric nanoparticles enhance the efficacy of cyclin dependent kinase 7 inhibitor for enhanced treatment of prostate cancer
    • Authors: Tao, Y., Dai, C., Xie, Z., Wu, J., Huang, H.
    • Journal: Chinese Chemical Letters, 2024, 35(8), 109170

 

  • 🧩 Cancer-associated fibroblasts promote enzalutamide resistance and PD-L1 expression in prostate cancer through CCL5-CCR5 paracrine axis
    • Authors: Xiong, Z., Yu, S.-L., Xie, Z.-X., Huang, H., Li, K.-W.
    • Journal: iScience, 2024, 27(5), 109674

 

  • 🧪 MT1G, an emerging ferroptosis-related gene: A novel prognostic biomarker and indicator of immunotherapy sensitivity in prostate cancer
    • Authors: Cheng, B., Lai, Y., Huang, H., Wang, Q., Huang, H.
    • Journal: Environmental Toxicology, 2024, 39(2), pp. 927–941