Manisha Thapliyal | Bioinformatics | Best Researcher Award

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Ms. Manisha Thapliyal | Bioinformatics | Best Researcher Award

Ms. Manisha Thapliyal, Patanjali Research Foundation, India.

Manisha Thapliyal is a dedicated scientist with six years of experience in biotechnology, bioinformatics, and computational drug design. She has led research teams, contributed to groundbreaking studies, and played a key role in developing novel therapeutic solutions. With expertise in plant genetic transformation, nanoparticle synthesis, and large-scale research projects, she is committed to advancing scientific innovation. Her passion for mentoring and organizing scientific events underscores her commitment to fostering future research talent.

Profile

Google Scholar

🌱 Early Academic Pursuits

Manisha Thapliyal’s journey into the world of scientific exploration began with a strong foundation in biotechnology and bioinformatics. Driven by an innate curiosity for life sciences, she pursued higher education with a focus on cutting-edge research methodologies. Her academic endeavors laid the groundwork for her specialization in computational drug design, plant genetic transformation, and nanotechnology. From her early years, she exhibited a passion for interdisciplinary studies, which later became a defining aspect of her professional career.

🧬 Professional Endeavors

With six years of experience in scientific research, Manisha Thapliyal has excelled in leading and managing research teams at the Patanjali Research Foundation in Haridwar. As a Scientist-B, she has guided Assistant Scientists in Computer-Aided Drug Designing (CADD), playing a pivotal role in developing potential therapeutic solutions. Her ability to seamlessly collaborate with bench scientists has ensured that computational strategies align with practical laboratory objectives. Through virtual screenings and molecular analyses, she has significantly contributed to identifying novel drug candidates with promising pharmacological potential.

 

🔬 Contributions and Research Focus

Manisha’s expertise extends across multiple domains, including plant genetic transformation studies, nanoparticle synthesis, and large-scale government-funded research projects. Her interdisciplinary approach bridges computational and experimental research, facilitating innovation in biotechnology. Her technical prowess in bioinformatics has enabled her to decode complex biological datasets, opening new avenues for scientific breakthroughs. Her research contributions are not limited to publications but extend to mentoring young scientists and fostering research-driven environments.

🏆 Accolades and Recognition

Recognized for her dedication and innovation in scientific research, Manisha has played a crucial role in several high-impact studies and book chapters. Her ability to integrate computational tools with experimental frameworks has earned her acclaim within the research community. She has been instrumental in organizing national and international conferences, workshops, and training programs, further solidifying her role as a thought leader in the field of biotechnology

🌍 Impact and Influence

Beyond her technical contributions, Manisha has been an active mentor, shaping the careers of aspiring researchers and young scientists. Her leadership in capacity-building initiatives has empowered the next generation of scientists to develop skills in drug discovery, genetic engineering, and bioinformatics. By fostering collaborative research environments, she has ensured that scientific advancements translate into meaningful healthcare and biotechnological solutions.

🔮 Legacy and Future Contributions

With an unwavering commitment to scientific excellence, Manisha Thapliyal envisions a future where biotechnology continues to drive innovation in medicine and environmental sustainability. Her focus remains on leveraging computational intelligence for precision drug discovery and sustainable biotechnological applications. As she advances in her career, she aims to expand her research horizon, bridging the gap between theoretical insights and real-world applications, ultimately contributing to the global scientific community.

Publication

  • SCREENING AND ISOLATION OF ANTIBACTERIAL PROTEINS/PEPTIDES FROM SEEDS OF MILLETS
    Authors: Anjali Bisht, Manisha Thapliyal
    Year: 2016

 

  • ISOLATION OF ANTIBACTERIAL PROTEIN/PEPTIDE FROM FICUS GLOMERATA LEAF
    Authors: Manisha Thapliyal, Anjali Bisht
    Year: 2016

 

  • Current Status of Indian Agriculture: Problems, Challenges and Solution
    Authors: Acharya Balkrishna, Manisha Phour
    Year: 2021

 

  • Role of AP2/EREBP Transcription Factor Family in Environmental Stress Tolerance
    Authors: Anjali Pande, Saurabh C Saxena, Manisha Thapliyal, Sudhir K Guru, Atul Kumar
    Year: 2018

 

  • Unraveling the therapeutic potential of Senna singueana phytochemicals to attenuate pancreatic cancer using protein–protein interactions, molecular docking, and …
    Authors: Acharya Balkrishna, D Sharma, M Thapliyal, V Arya, A Dabas
    Year: 2023

 

  • Isolation and Identification of α- Amylase activity Inhibiting compounds from Bryophyllum Pinnatum
    Authors: S R Kumar, M Thapliyal, A Singh
    Year: 2016

 

🏁 Conclusion

Manisha Thapliyal stands as a beacon of inspiration in the ever-evolving field of biotechnology. Her relentless pursuit of scientific excellence, coupled with her leadership in research and mentorship, has positioned her as a key contributor to scientific progress. Through her continued efforts in biotechnology and bioinformatics, she is set to make lasting contributions that will shape the future of drug discovery and sustainable scientific solutions.

 

Lucas Lopes | Medicina | Best Researcher Award

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Mr. Lucas Lopes | Medicina | Best Researcher Award

Mr. Lucas Lopes, Universidade de São Paulo, Faculdade de Medicina de Bauru,  Brazil.

Lucas Casagrande Passoni Lopes has made significant strides in medical research, academic publishing, and global scientific collaboration. His expertise in pediatric medicine, endocrinology, and healthcare disparities has been widely recognized through his editorial leadership, peer-review contributions, and multilingual engagements. His published works address critical healthcare issues, further cementing his influence in the medical community.

Profile

Orcid

🎓 Early Academic Pursuits

Lucas Casagrande Passoni Lopes embarked on his academic journey with an unwavering passion for medicine, enrolling in the prestigious Faculdade de Medicina de Bauru at the Universidade de São Paulo, Brazil. His commitment to excellence and keen interest in pediatric and clinical research set the foundation for his future endeavors. Throughout his academic years, he demonstrated exceptional dedication, immersing himself in scientific studies and medical advancements, laying the groundwork for a promising career in healthcare and medical research.

👩‍🎓 Professional Endeavors

Beyond his medical studies, Lucas took on significant roles in the academic publishing landscape. As the In-Chief Editor of Advances in Modern Paediatrics Journal, he has played a pivotal role in shaping pediatric research dissemination. His editorial contributions extend to renowned medical journals, including Journal of Anaesthesia and Global Open Share Publishing, Clinics of Neurology, Annals of Pediatrics and Neonatal Care, and the European Journal of Cancer. Through his editorial expertise, he has facilitated the publication of groundbreaking research, furthering advancements in multiple medical disciplines.

🔬 Contributions and Research Focus

Lucas has established himself as a prolific researcher, focusing on pediatric medicine, endocrinology, and public health concerns. His notable studies include an in-depth analysis of treatments for dysmenorrhea in adolescents, published in Contemporânea – Revista de Ética e Filosofia Política, and a groundbreaking study on the underreporting of diabetes mellitus as a cause of death over 40 years in Bauru, published in Archives of Endocrinology and Metabolism. His work sheds light on critical gaps in healthcare reporting and patient management, making substantial contributions to medical literature and clinical practice.

🏆 Accolades and Recognition

Lucas’ dedication to medical research has earned him esteemed recognition within the scientific community. As an invited reviewer for numerous high-impact journals, including Current Pediatric Reviews, World Journal of Clinical Cases, International Journal of Clinical and Experimental Medical Sciences, World Journal of Gastroenterology, and Frontiers in Medicine, he has been entrusted with evaluating and shaping contemporary medical research. His expertise is widely acknowledged, with his insights influencing the peer-review process across various fields of medicine.

📚 Impact and Influence

Lucas’ influence extends far beyond his research and editorial roles. His multilingual proficiency in Portuguese, English, French, Italian, Spanish, and German allows him to engage with diverse international scientific communities, fostering cross-border collaborations. His involvement in global medical discourse ensures that cutting-edge research reaches a broader audience, ultimately contributing to the improvement of healthcare systems worldwide. His mentorship and editorial leadership have guided emerging researchers, amplifying the impact of his contributions to medical academia.

🌟 Legacy and Future Contributions

With a strong foundation in medical research and editorial expertise, Lucas continues to shape the future of pediatric and clinical medicine. His ongoing commitment to identifying healthcare disparities, advancing treatment methodologies, and supporting evidence-based medical practices positions him as a key figure in modern medical research. As he forges ahead, his contributions promise to enhance patient care, influence policy reforms, and inspire future generations of medical professionals. His legacy in scientific inquiry and knowledge dissemination will undoubtedly leave a lasting mark on the field of medicine.

 

publication

  • Title: Association between exanthematous diseases and earlier age at Type 1 diabetes diagnosis
    Authors: Lucas C.P. Lopes, Lenita Zajdenverg, Rodrigo L.M. Martins, Gabriel Araujo Medeiros, Marina D. Louro, João V.M. Lanzarin, Carlos A. Negrato
    Year: 2025

 

  • Title: Mortality trends from all causes and diabetes mellitus according to sex between 1998 and 2021
    Authors: Carlos Antonio Negrato, Gabriel Araújo Medeiros, Giordano Bruno Duarte de Souza, Lucas Casagrande Passoni Lopes
    Year: 2024

 

  • Title: Relationship between early age at menarche, older age at menopause and subtypes of breast cancer: a scoping review
    Authors: Lucas Casagrande Passoni Lopes, Gabriel Araújo Medeiros, Igor José Nogueira Gualberto, Thales Baptista Gut, Rafael Vasconcelos Silva Ferrazini, Carlos Antonio Negrato
    Year: 2024

 

  • Title: Association between perinatal and obstetric factors and early age at diagnosis of type 1 diabetes mellitus: a cohort study
    Authors: Carlos A. Negrato, Rodrigo L. de M. Martins, Marina D. Louro, Gabriel A. Medeiros, João V.M. Lanzarin, Lenita Zajdenverg, Lucas C.P. Lopes
    Year: 2024

 

  • Title: Underreporting of diabetes mellitus as the cause of death in Bauru, State of São Paulo, Brazil over 40 years: a documental study
    Authors: Lucas Casagrande Passoni Lopes, Gabriel Araújo Medeiros, Mauro Wieczorek, Marina dos Santos de Carvalho Pinto, Carlos Antonio Negrato
    Year: 2024

 

🎉 Conclusion

As a dedicated researcher, editor, and medical professional, Lucas Passoni continues to push the boundaries of medical knowledge and patient care. His contributions have not only enriched scientific literature but have also fostered meaningful discussions on global healthcare improvements. With his unwavering commitment to excellence, Lucas is poised to leave a lasting legacy in the field of medicine, inspiring future generations of researchers and practitioners alike.

 

 

Baoshun Shi | Metal artifact reduction| Best Researcher Award

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Assoc.Prof.Dr. Baoshun Shi | Metal artifact reduction| Best Researcher Award

Assoc. Prof. Dr.  Baoshun Shi,  Yanshan University,  China.

Baoshun Shi is an esteemed researcher and academic in medical imaging, specializing in CT/MRI reconstruction, deep dictionary learning, and computational imaging. His academic journey from Yanshan University to his current role as an Associate Professor has been marked by groundbreaking research and mentorship. His work has significantly contributed to medical diagnostics, receiving recognition through prestigious grants and impactful publications. His innovations continue to shape the future of medical imaging technologies.

Profile

Google Scholar

 

Early Academic Pursuits ✨

Baoshun Shi embarked on his academic journey with a deep fascination for electronic science and technology. His rigorous training at Yanshan University laid a strong foundation for his expertise in imaging sciences. Under the mentorship of Prof. Qiusheng Lian, he pursued both his Master’s and Ph.D. degrees from 2012 to 2017, immersing himself in advanced research on electronic imaging and computational techniques. His early studies revolved around the intricacies of image reconstruction and enhancement, which would later define his contributions to medical imaging and deep learning methodologies.

Professional Endeavors 🎓

After completing his doctorate, Baoshun Shi transitioned into academia as a Lecturer at the School of Information Science and Engineering at Yanshan University in 2017. His passion for research and education quickly propelled him to the position of Associate Professor in 2021. In this role, he has been instrumental in shaping the next generation of scholars while spearheading groundbreaking studies in medical imaging. His dedication to academic excellence is evident in his mentorship and continuous efforts to push the boundaries of imaging technology.

Contributions and Research Focus 🌍

Baoshun Shi’s research is centered on revolutionizing medical imaging through advanced computational models. His work spans multiple domains, including CT/MRI reconstruction, medical image analysis, deep dictionary learning, and compressed imaging. He has extensively explored imaging inverse problems, leveraging deep learning and model-driven approaches to enhance diagnostic accuracy and efficiency. His innovative methodologies in sparse-view CT reconstruction and metal artifact reduction have significantly contributed to the evolution of medical imaging solutions, making them more precise and accessible.

Accolades and Recognition 🏆

Recognized for his pioneering work, Baoshun Shi has secured prestigious research grants and accolades. As the Principal Investigator, he has led multiple national and provincial research projects, including grants from the National Natural Science Foundation of China and the Hebei Natural Science Foundation. His projects, focused on deep dictionary learning and unsupervised imaging techniques, have earned him a distinguished reputation in the field of medical imaging. His contributions are acknowledged not only through research funding but also through the impact his findings have had on computational imaging advancements.

Impact and Influence 🔄

Baoshun Shi’s research has had far-reaching implications, transforming the landscape of medical imaging and computational diagnostics. His deep-learning-driven approaches have set new benchmarks in image reconstruction, enabling more accurate and efficient analysis of CT and MRI scans. His work has been instrumental in reducing imaging artifacts, improving resolution, and optimizing sparse-view imaging, thereby enhancing diagnostic capabilities. His influence extends beyond research papers, as his findings are being implemented in real-world medical applications, benefiting both practitioners and patients alike.

Legacy and Future Contributions 🌟

As a thought leader in medical imaging and computational science, Baoshun Shi continues to shape the future of imaging technologies. His ongoing research in deep dictionary networks and unsupervised learning models aims to push the boundaries of what is possible in diagnostic imaging. With an unwavering commitment to scientific advancement, he strives to develop cutting-edge solutions that will further enhance medical diagnostics, making them more efficient and accessible. His legacy is one of innovation, mentorship, and transformative contributions to the field of imaging science, paving the way for future breakthroughs.

 

Publication

  • Research advances on dictionary learning models, algorithms and applications – QS Lian, BS Shi, SZ Chen (2015)

 

  • Constrained phase retrieval: when alternating projection meets regularization – B Shi, Q Lian, X Huang, N An (2018)

 

  • Deep prior-based sparse representation model for diffraction imaging: A plug-and-play method – B Shi, Q Lian, H Chang (2020)

 

  • Multi‐scale cross‐path concatenation residual network for Poisson denoising – Y Su, Q Lian, X Zhang, B Shi, X Fan (2019)

 

  • Compressed sensing MRI based on the hybrid regularization by denoising and the epigraph projection – L Qiusheng, F Xiaoyu, S Baoshun, Z Xiaohua (2020)

 

  • Compressed sensing MRI with phase noise disturbance based on adaptive tight frame and total variation – F Xiaoyu, L Qiusheng, S Baoshun (2017)

 

  • Provable general bounded denoisers for snapshot compressive imaging with convergence guarantee – B Shi, Y Wang, D Li (2023)

 

  • FASPR: A fast sparse phase retrieval algorithm via the epigraph concept – B Shi, S Chen, Y Tian, X Fan, Q Lian (2018)

 

  • PPR: Plug-and-play regularization model for solving nonlinear imaging inverse problems – B Shi, Q Lian, X Fan (2019)

 

  • Transfer orthogonal sparsifying transform learning for phase retrieval – Q Lian, B Shi, S Chen (2017)

 

Conclusion 📝

Baoshun Shi’s contributions to medical imaging and computational diagnostics have been transformative. His expertise in deep learning, imaging inverse problems, and artifact reduction has paved the way for more accurate and efficient diagnostic methods. As he continues to push the boundaries of scientific discovery, his legacy remains one of innovation and impact, ensuring that medical imaging evolves to better serve the healthcare industry and patients worldwide.

Zewen Cheng | Clinical Medicine | Young Scientist Award

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Dr. Zewen Cheng | Clinical Medicine | Young Scientist Award

Dr. Zewen Cheng, Suzhou Hospital of Integrated Traditional Chinese and Western Medicine,  China.

Zewen Cheng’s career is a testament to his dedication to thoracic surgery, combining expertise in both Western and Traditional Chinese medicine. His academic excellence, professional experience, and research contributions highlight his unwavering commitment to advancing patient care. As a skilled surgeon and educator, he continues to make a significant impact in the medical community. Moving forward, his focus on innovation and mentorship will ensure that his contributions leave a lasting mark on the field of thoracic surgery, inspiring future generations of medical professionals.

Profile

Scopus

 

🎓 Early Academic Pursuits

Zewen Cheng embarked on his medical journey with a passion for thoracic surgery, earning a Master of Medicine in Thoracic Surgery from Soochow University in Suzhou, China. Graduating in 2019, he dedicated himself to mastering the complexities of thoracic diseases, developing a strong foundation in both clinical and surgical practices. His academic years were marked by rigorous training and an unwavering commitment to patient care, setting the stage for his future contributions to the medical field.

🏥 Professional Endeavors

After completing his degree, Zewen Cheng undertook a comprehensive three-year residency at The First Affiliated Hospital of Soochow University. From July 2019 to June 2022, he refined his expertise in thoracic surgery, gaining invaluable hands-on experience in clinical diagnostics, patient management, and surgical procedures. His tenure in the residency program enabled him to work closely with senior specialists, tackling complex cases and honing his skills. In September 2022, he advanced to the role of Attending Physician at Suzhou Hospital of Integrated Traditional Chinese and Western Medicine, where he seamlessly integrates Western and Traditional Chinese medical treatments to provide holistic patient care.

🔬 Contributions and Research Focus

Zewen Cheng is deeply invested in the evolving landscape of thoracic surgery. His research interests span innovative surgical techniques, minimally invasive procedures, and the integration of Traditional Chinese Medicine (TCM) in thoracic disease management. With proficiency in data analysis software such as R and SPSS, he actively contributes to medical research, utilizing statistical methodologies to enhance clinical decision-making. His work emphasizes the importance of interdisciplinary approaches in improving patient outcomes and advancing the field of thoracic surgery.

🏆 Accolades and Recognition

Throughout his medical career, Zewen Cheng has been recognized for his dedication and expertise in thoracic surgery. Successfully completing the standardized residency training at The First Affiliated Hospital of Soochow University, he demonstrated exceptional skill and commitment to surgical excellence. His fluency in Medical English (CET-6) has enabled him to collaborate effectively with international medical professionals, further expanding his impact within the global medical community.

💪 Impact and Influence

As an Attending Physician, Zewen Cheng plays a crucial role in supervising and training junior doctors, fostering the next generation of thoracic surgeons. His ability to blend traditional and modern medical practices ensures that patients receive comprehensive treatment tailored to their specific needs. His contributions extend beyond direct patient care, as he actively participates in multidisciplinary teams, shaping the future of thoracic surgery through collaborative innovation and knowledge sharing.

🌟 Legacy and Future Contributions

With a strong foundation in both clinical practice and research, Zewen Cheng aspires to push the boundaries of thoracic surgery through continuous learning and innovation. His commitment to integrating Traditional Chinese Medicine with contemporary surgical techniques presents new avenues for patient care and treatment efficacy. Looking ahead, he envisions contributing to groundbreaking research, refining surgical methodologies, and mentoring future medical professionals, leaving a lasting legacy in the field of thoracic surgery.

 

Publication

Title: Exploring the Causal Relationship Between Frailty and Chronic Obstructive Pulmonary Disease: Insights From Bidirectional Mendelian Randomization and Mediation Analysis
Authors: Zewen Cheng, Jian Wu, Chun Xu, Xiaokun Yan
Year: 2025

 

🏆 Conclusion

Zewen Cheng is a strong candidate for the Young Scientist Award, given his clinical expertise, innovative approach to medicine, and commitment to training future surgeons. Strengthening his research impact and expanding international collaborations would further solidify his position as a leading young scientist in thoracic surgery.