Elżbieta Złowocka-Perłowska | kidney cancer | Best Researcher Award

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Dr. Elżbieta Złowocka-Perłowska | kidney cancer | Best Researcher Award

Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University | Poland

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Dr. Elżbieta Złowocka-Perłowska⚡🌍

INTRODUCTION 🌟

Dr. Elżbieta Złowocka-Perłowska is a distinguished academic and researcher at the Pomeranian Medical University, specializing in clinical genetics, molecular biology, and hereditary cancers. With over two decades of dedication to the Hereditary Cancer Center at the Department of Genetics and Pathomorphology, she has become an influential figure in medical sciences, particularly focusing on bladder and kidney cancer research. Her work aims to integrate trace element analysis into personalized cancer treatment models, contributing significantly to the field of molecular genetics.

EARLY ACADEMIC PURSUITS 🎓

Dr. Złowocka-Perłowska’s academic journey began with a diploma in Biology from the University of Szczecin in 2002. She then pursued a PhD in Medical Sciences at Pomeranian Medical Academy in Szczecin, where she earned her degree with distinction in 2008. Throughout her early academic years, she demonstrated a deep commitment to the study of genetics and its implications for cancer research.

PROFESSIONAL ENDEAVORS 💼

Since 2002, Dr. Złowocka-Perłowska has been associated with the Hereditary Cancer Center at the Pomeranian Medical University. Her career has evolved from a PhD student to a University Lecturer, Assistant Professor, and National Consultant in Clinical Genetics. She has taught both Polish and English-language courses across various medical and biotechnology programs. Dr. Złowocka-Perłowska’s professional endeavors have led her to direct research projects on cancer diagnostics, utilizing molecular techniques like MLPA, TaqMan, and NGS.

CONTRIBUTIONS AND RESEARCH FOCUS ON kidney cancer🔬

Dr. Złowocka-Perłowska’s research is centered on the study of hereditary cancers, particularly bladder and kidney cancers. Her current research project aims to explore the role of trace elements in cancer prognosis, with a specific focus on blood and serum selenium levels as potential markers for survival. She has conducted extensive studies using molecular genetics techniques and has made significant contributions to the understanding of hereditary cancer genetics. Her scientific work has culminated in 51 publications, four patents (including an international patent), and numerous conference presentations.

IMPACT AND INFLUENCE 🌍

As a recognized leader in the field of hereditary cancer research, Dr. Złowocka-Perłowska has had a profound impact on both medical education and healthcare. Her contributions to clinical studies, research, and the advancement of cancer treatments have been recognized internationally. Through her scientific publications and involvement in research projects, she continues to influence the development of personalized medicine and clinical genetics.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Złowocka-Perłowska is the author and co-author of numerous scientific papers published in national and international journals. Her work focuses on hereditary cancers and molecular biology, contributing to the advancement of clinical genetics. With 51 publications to her name, her research is frequently cited by peers in the scientific community. Her papers have been presented at several renowned scientific conferences, establishing her as a thought leader in her field.

HONORS & AWARDS 🏆

Dr. Złowocka-Perłowska has received numerous accolades throughout her career, including the Minister of Health’s Team Award in 2005 and the prestigious “Eminent Scientist of the Year 2009” award from the World Scientist Forum International Awards. She has also been honored with multiple Rector’s Awards for her scientific achievements at Pomeranian Medical University. Other recognitions include certifications for NGS sequencing training and contributions to laboratory medical genetics.

FINAL NOTE ✨

Dr. Złowocka-Perłowska’s work is a testament to the power of academic dedication and scientific inquiry. Her commitment to advancing medical genetics, particularly in the study of hereditary cancers, has significantly shaped the field. Through her research, teaching, and clinical contributions, she continues to inspire future generations of scientists and clinicians.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Złowocka-Perłowska’s ongoing research on cancer treatment and prognostic markers positions her as a key figure in the evolution of personalized medicine. With her focus on integrating molecular techniques and trace element analysis, her future contributions will likely continue to revolutionize cancer diagnostics and treatment. She leaves a lasting legacy in the field of medical genetics, with a promising trajectory for further scientific discovery.

TOP NOTES PUBLICATIONS 📚

1. Blood and Serum Copper and Zinc Levels and 10-Year Survival of Patients After Kidney Cancer Diagnosis

  • Authors: Elżbieta Złowocka-Perłowska, Piotr Baszuk, Wojciech Marciniak, Róża Derkacz, Aleksandra Tołoczko-Grabarek, Katarzyna Gołębiewska, Marcin Słojewski, Adam Gołąb, Artur Lemiński, Michał Soczawa, et al.
  • Journal: Nutrients
  • Year: 2025
  • DOI: 10.3390/nu17060944

2. Germline BRCA1 and BRCA2 mutations and the risk of bladder or kidney cancer in Poland

  • Authors: Elżbieta Złowocka-Perłowska, Aleksandra Tołoczko-Grabarek, Steven A. Narod, Jan Lubiński
  • Journal: Hereditary Cancer in Clinical Practice
  • Year: 2022
  • DOI: 10.1186/s13053-022-00220-6

3. Germline HOXB13 mutation p.G84E do not confer an increased bladder or kidney cancer risk in Polish population

  • Authors: Elżbieta Złowocka-Perłowska, Aleksandra Tołoczko-Grabarek, Jan Lubiński
  • Journal: Hereditary Cancer in Clinical Practice
  • Year: 2022
  • DOI: 10.1186/s13053-021-00208-8

4. Recurrent PALB2 mutations and the risk of cancers of bladder or kidney in Polish population

  • Authors: Elżbieta Złowocka-Perłowska, Aleksandra Tołoczko-Grabarek, Jan Lubiński
  • Journal: Hereditary Cancer in Clinical Practice
  • Year: 2021
  • DOI: 10.1186/s13053-020-00161-y

5. Survival of bladder or renal cancer in patients with CHEK2 mutations

  • Authors: Elżbieta Złowocka-Perłowska, Alvaro Galli, Tadeusz Dębniak, Marcin Słojewski, Thierry van de Wetering, Aleksandra Tołoczko-Grabarek, Cezary Cybulski, Rodney J. Scott, Jan Lubiński
  • Journal: PLOS ONE
  • Year: 2021
  • DOI: 10.1371/journal.pone.0257132

 

Rituraj Upadhyay | Healthcare Data Analysis | Best Researcher Award

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Dr. Rituraj Upadhyay | Healthcare Data Analysis | Best Researcher Award

The Ohio State University, United States

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Early Academic Pursuits 🎓

Dr. Rituraj Upadhyay began his academic journey with a strong foundation in medical education at the prestigious All India Institute of Medical Sciences (AIIMS), New Delhi. There, he completed his Bachelor of Medicine and Surgery (MBBS) in 2014, followed by an MD in Radiation Oncology (2017). His early medical training was marked by a deep interest in radiotherapy and oncology, leading him to pursue a Diplomate of National Board (DNB) certification in Radiation Oncology. His academic endeavors during this time reflected a commitment to advancing medical knowledge and improving patient care through radiation oncology.

Professional Endeavors 🌍

Dr. Upadhyay’s professional career has been driven by a passion for advancing radiation oncology, particularly through his work in clinical and academic settings. His residency at The Ohio State University Wexner Medical Center (2021–2025) is a notable highlight in his professional journey, demonstrating his commitment to mastering the latest technologies and treatments in radiation oncology. Dr. Upadhyay’s time at renowned institutions like MD Anderson Cancer Center and Rutgers Cancer Institute of New Jersey has further solidified his standing as an emerging leader in the field. His pursuit of innovation and excellence is evident from his involvement in advanced radiation oncology fellowships and international research collaborations.

Contributions and Research Focus 🔬

Dr. Upadhyay’s research is at the forefront of radiation oncology, with a focus on improving treatment outcomes and minimizing side effects. He has contributed significantly to clinical trials and funded research, such as the “PRIMe-STAR trial” on progressive/recurrent intracranial meningiomas and the “AVATAR” system aimed at reducing anesthesia needs in pediatric radiotherapy. His research on stereotactic radiosurgery for brain metastases and radiation therapy for conditions like penile cancer and renal stereotactic ablative therapy underscores his diverse interests in cancer treatment. His studies have potential global impact, as reflected in his leadership role in multinational research endeavors.

Impact and Influence 🌟

Dr. Upadhyay’s influence extends beyond his research. As an educator and mentor, he actively shapes the next generation of radiation oncologists. His roles in mentoring medical students, residents, and fellows at institutions like The Ohio State University and Massachusetts General Hospital highlight his dedication to guiding aspiring professionals. He also plays a key role in enhancing the field through his involvement in various professional organizations such as the American Society for Radiation Oncology (ASTRO) and the Radiosurgery Society (RSS). His work as a guideline reviewer and committee member for several radiation oncology societies reflects his broad influence on the development of standards and best practices in the field.

Academic Cites 📚

Dr. Upadhyay’s research and academic work are well-regarded, with his contributions earning recognition through numerous awards and honors. Notable accolades include the American College of Radiation Oncology (ACRO) Best Abstract Award and the American Radium Society (ARS) Early Career Oncologist Award, which are testaments to his influential research on topics like stereotactic radiosurgery and palliative radiation therapy. These accolades further cement his reputation in the academic community, demonstrating the high regard in which his peers hold his research.

Technical Skills 💻

Dr. Upadhyay has developed a comprehensive set of technical skills that position him at the cutting edge of radiation oncology. His expertise spans advanced radiation therapy techniques such as stereotactic radiosurgery (SRS), stereotactic body radiotherapy (SBRT), proton therapy, and image-guided brachytherapy. In addition, he is well-versed in cutting-edge technologies, including the use of artificial intelligence and machine learning in radiation oncology for treatment planning and quality assurance. His technical acumen is further demonstrated by his involvement in developing new approaches to enhance clinical outcomes for complex cancer cases.

Teaching Experience 📖

Dr. Upadhyay has dedicated substantial time to teaching and mentorship, sharing his expertise with medical students, residents, and fellow researchers. He has served as a moderator for educational webinars and a mentor for various research initiatives. His roles as a panelist and speaker at international conferences, such as the ASTRO Annual Meeting and the Ohio State University Cardio-Oncology Symposium, reflect his commitment to advancing education within the field of oncology. Through these initiatives, he has played a key role in shaping the future of radiation oncology education.

Legacy and Future Contributions 🔮

Dr. Upadhyay’s legacy in radiation oncology is already being established through his groundbreaking research and mentorship. His involvement in international clinical trials, such as the AVATAR system and the PRIMe-STAR trial, is likely to make a long-lasting impact on the clinical management of cancer patients globally. Looking forward, Dr. Upadhyay plans to continue advancing his research, particularly in the areas of stereotactic radiosurgery and precision medicine. His work promises to significantly shape the future of radiation oncology, particularly in improving treatment efficacy, minimizing side effects, and enhancing patient care across diverse populations.

 

Top Noted Publications 📖

Additive Value of Magnetic Resonance Simulation Before Chemoradiation in Evaluating Treatment Response and Pseudoprogression in High-Grade Gliomas

Authors: Divya Yadav, Rituraj Upadhyay, Vinodh A. Kumar, Melissa M. Chen, Jason M. Johnson, Holly Langshaw, Brandon J. Curl, Maguy Farhat, Wasif Talpur, Thomas H. Beckham et al.

Journal: Practical Radiation Oncology

Year: 2024

Risk-Stratified Radiotherapy in Pediatric Cancer

Authors: Rituraj Upadhyay, Arnold C. Paulino

Journal: Cancers

Year: 2024

Disease Control and Toxicity Outcomes after Stereotactic Ablative Radiation Therapy for Recurrent and/or Metastatic Cancers in Young-Adult and Pediatric Patients

Authors: Rituraj Upadhyay, Brett Klamer, Jennifer Matsui, Vikram B. Chakravarthy, Thomas Scharschmidt, Nicholas Yeager, Bhuvana A. Setty, Timothy P. Cripe, Ryan D. Roberts, Jennifer H. Aldrink et al.

Journal: Cancers

Year: 2024

Quantifying the Risk and Dosimetric Variables of Symptomatic Brainstem Injury after Proton Beam Radiation in Pediatric Brain Tumors

Authors: Rituraj Upadhyay, Kaiping Liao, David R Grosshans, Susan L McGovern, Mary Frances McAleer, Wafik Zaky, Murali M Chintagumpala, Anita Mahajan, Debra Nana Yeboa, Arnold C Paulino

Journal: Neuro-Oncology

Year: 2022

Patterns of Failure after Radiation Therapy in Primary Spinal High-Grade Gliomas: A Single Institutional Analysis

Authors: Rituraj Upadhyay, Swapnil Khose, Halyna Pokhylevych, Arnold C Paulino, Mary Frances McAleer, Amol Ghia, Jing Li, Debra Nana Yeboa, Monica Loghin, Rebecca Harrison et al.

Journal: Neuro-Oncology Advances

Year: 2022

Rafid Mostafiz | Medical data analysis | Best Researcher Award

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Mr. Rafid Mostafiz,Medical data analysis
, Best Researcher Award

Rafid Mostafiz at Noakhali Science and Technology University Bangladesh

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Summary:

Mr. Rafid Mostafiz is a dedicated lecturer at the Institute of Information Technology, Noakhali Science and Technology University. His academic journey is marked by a strong foundation in computer science and engineering, focusing on deep learning, machine learning, computer vision, and data science. With a robust background in both teaching and research, he has contributed significantly to the fields of digital image processing, artificial intelligence, and distributed computing.

👩‍🎓Education:

  • Master of Science in Computer Science and Engineering
    • Mawlana Bhashani Science and Technology University, Bangladesh
    • Duration: January 24, 2018 – September 28, 2020
    • CGPA: 3.88/4.00
    • Thesis: “Automatic Lesions Detection in Liver Ultrasound using Super Resolution and Deep Feature Fusion”
  • Bachelor of Science in Computer Science and Engineering
    • Mawlana Bhashani Science and Technology University, Bangladesh
    • Duration: January 29, 2012 – July 30, 2017
    • CGPA: 3.58/4.00
    • Thesis: “Speckle Noise Reduction for 3-D Ultrasound Images by Optimum Threshold Parameter Estimation”

Professional Experience:

Mr. Rafid Mostafiz has built a robust career in academia, blending teaching and research with a focus on cutting-edge technologies. Currently, he serves as a Lecturer at the Institute of Information Technology, Noakhali Science and Technology University, where he has been since January 2022. In this role, he teaches courses such as Theory of Computation, Web Technology, Computer Architecture, and Distributed Computing, while also engaging in research on data science, machine learning, information theory, and security.

Prior to his current position, Rafid was an Assistant Professor at the Department of Computer Science & Engineering at Dhaka International University from January 2021 to January 2022. There, he taught Algorithm Design and Analysis, Data Structures, Object-Oriented Programming with JAVA, Digital Image Processing, and Artificial Intelligence. His research during this period focused on artificial intelligence, computer and robotics vision, neural networks and machine learning, Internet of Things, and blockchain technologies.

Research Interest :

Mr. Rafid Mostafiz’s research interests lie at the intersection of advanced computational techniques and real-world applications. He is deeply engaged in the fields of deep learning and machine learning, where he explores the development of intelligent systems capable of performing complex tasks. His work in computer vision focuses on enhancing image and video analysis through innovative algorithms and models. Rafid is also passionate about data science, utilizing statistical methods and computational tools to extract meaningful insights from large datasets. His research extends to the application of these technologies in biomedical imaging, where he aims to improve diagnostic accuracy and patient outcomes through advanced image processing techniques.

Publication Top Noted: