Jillian Perry | Materials Science | Best Researcher Award

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Assist Prof Dr. Jillian Perry | Materials Science | Best Researcher Award

University of North Carolina - Chapel Hill | United States

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🧠 Early Academic Pursuits

Assist. Prof. Dr. Jillian Perry's academic journey began with a Bachelor of Science in Chemical Engineering, awarded Cum Laude from the University of Florida in 2004, with a minor in Chemistry. Building on her solid foundation, she pursued a PhD in Biomedical Engineering at the same university, where she conducted pioneering research on chitosan nanotube synthesis for drug delivery applications. Her dissertation, supervised by Dr. John D. Steward and Dr. Charles R. Martin, laid the groundwork for a career focused on innovative solutions in drug delivery and nanotechnology.

💼 Professional Endeavors

Currently an Assistant Professor at the University of North Carolina’s Eshelman School of Pharmacy, Dr. Perry also contributes to the Center for Nanotechnology in Drug Delivery. Since joining UNC in 2010 as a Postdoctoral Research Associate at the Lineberger Comprehensive Cancer Center, she has been mentored by renowned researchers like Dr. Joseph M. DeSimone. Over the years, she progressed from a Research Associate Scientist to her current position, collaborating on high-impact research in pharmacoengineering and molecular pharmaceutics.

🧬 Contributions and Research Focus

Dr. Perry’s research explores 3D-printed microneedles, transdermal drug delivery systems, and nanoparticle-based cancer immunotherapies. She has authored numerous impactful publications, contributing extensively to fields such as tumor targeting and transdermal vaccination techniques. Her work includes significant studies on hydrogel-based cancer treatments and PRINT nanoparticle technology for enhanced therapeutic delivery.

🏆 Accolades and Recognition

Dr. Perry has been honored with several awards, such as the 2020 Junior Faculty Development Award and the NanoDDS Poster Award in 2018. Her 3D-printed vaccine patch technology received global attention and won the Fast Company’s World Changing Ideas Award in 2022. She was also recognized for her academic excellence with prestigious scholarships like the University Scholars Scholarship and Bright Futures Scholarship during her undergraduate years.

🌍 Impact and Influence

With an H-index of 19 and over 2,130 citations, Dr. Perry’s research has influenced the scientific community's understanding of nanomedicine and drug delivery technologies. Her innovative approaches in microneedle design and 3D printing for vaccine delivery have potential applications beyond academia, transforming practical healthcare delivery methods and advancing public health initiatives worldwide.

📜 Legacy and Future Contributions

As a thought leader in nanotechnology and biopharmaceuticals, Dr. Perry is expected to continue making groundbreaking contributions to transdermal vaccine development and targeted cancer therapies. Her active role in patenting novel drug delivery systems and designing biocompatible materials solidifies her legacy as a researcher committed to pioneering health solutions. Future contributions will likely include further advancements in non-invasive drug delivery and enhanced treatment efficacy in challenging medical fields, paving the way for transformative healthcare solutions.

 

Publications

📄  Development of 3D printed microneedles of varied needle geometries and lengths, designed to improve dermal delivery of topically applied psoriasis treatments

Authors: Pünnel LC, Palmtag M, Lunter DJ, Perry JL
Journal: European Journal of Pharmaceutics and Biopharmaceutics
Year: 2024

📄  3D-printed Lattice Microneedle Array Patches for Tunable and Versatile Intradermal Delivery

Authors: Rajesh NU, Hwang J, Xu Y, Saccone MA, Hung A, Hernandez RAS, Coates IA, Driskill MM, Dulay MT, Jacobson GB, Tian S, Perry JL#, DeSimone JM
Journal: Advanced Materials
 Year: 2024

📄  Development of a biocompatible 3D hydrogel scaffold using CLIP for the delivery of cell therapy to treat recurrent glioblastoma

Authors: Kass L, Morrent T, Zhang Y, DeVane C, Logan J, Tessema A, Perry JL#, Hingtgen SD
 Journal: Bioengineering and Translational Medicine
Year: 2024

📄  3D-Printed Microarray Patches for Transdermal Applications

Authors: Rajesh NU, Coates I, Driskill MM, Dulay MT, Hsiao K, Ilyn D, Jacobson GB, Kwak JW, Lawrence M, Perry JL, Shea CO, Tian SM, DeSimone JM
 Journal: JACS Au
 Year: 2022

📄  Transdermal Vaccination via 3D Printed Microneedles Induces Potent Humoral and Cellular Immunity

Authors: Caudill CL, Perry JL, Illiadis K, Tessema AT, Lee BJ, Mecham BS, Tian S, DeSimone JM
Journal: PNAS
 Year: 2021

 

Doohyun Park | Computer Science | Best Researcher Award

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Dr. Doohyun Park | Computer Science | Best Researcher Award

VUNO Inc. | South Korea

Author Profile

Orcid

Early Academic Pursuits 🎓

Dr. Doohyun Park embarked on his academic journey at Yonsei University, where he earned his Bachelor's degree in Electrical and Electronic Engineering (2012-2016). His deep interest in medical applications of technology led him to pursue a Ph.D. at the same institution. His doctoral thesis focused on artificial intelligence-based preoperative prediction of axillary lymph node metastasis in breast cancer using whole slide images, which showcases his commitment to integrating AI in healthcare. His academic path laid the foundation for his future contributions to biomedical research and medical image analysis.

Professional Endeavors 💼

Dr. Park’s professional career is marked by his significant role at VUNO Inc., where he is part of the Lung Vision AI team. His work involves the development of computer-aided detection and diagnosis (CADe/CADx) on lung CT, focusing on innovative solutions for lung health. He has also worked on projects assessing the severity of COVID-19 and anomaly detection in spine CT. His expertise in the intersection of AI and healthcare has positioned him as a key contributor to advanced diagnostic technologies, reflecting his ability to bridge academia and industry.

Contributions and Research Focus 🔬

Dr. Park's research interests are centered around biomedical and clinical research, with a particular emphasis on computer-aided detection, diagnosis, and medical image analysis. He has published numerous papers on topics ranging from deep learning-based joint effusion classification to the development of AI models for lung cancer screening. His research has garnered recognition in top-tier journals, reinforcing his role in advancing AI applications in healthcare. He also holds multiple international and domestic patents related to prognosis prediction using image features, underscoring his contributions to the global research community.

Accolades and Recognition 🏆

Dr. Park’s outstanding contributions to medical image analysis have earned him several prestigious awards. Notably, he won the Best Paper Award at the 2023 MICCAI Grand Challenge for Aorta Segmentation and secured third place in the competition. His academic excellence has also been recognized through scholarships, including the Brain Korea 21 Scholarship and various research and teaching assistant scholarships during his time at Yonsei University. His consistent track record of achievements highlights his dedication to both research and education.

Impact and Influence 🌍

Dr. Park's work has had a profound impact on the field of medical AI, particularly in improving diagnostic tools for lung and breast cancer. His development of cutting-edge algorithms for image analysis has the potential to revolutionize early detection and prognosis in clinical settings. His invited talks at high-profile forums like the Global Engagement & Empowerment Forum on Sustainable Development (GEEF) further showcase his influence on global health initiatives, particularly in the context of the United Nations' Sustainable Development Goals.

Legacy and Future Contributions ✨

As Dr. Park continues his career, his legacy is being built on the foundations of innovation, interdisciplinary collaboration, and a commitment to improving healthcare outcomes. His ongoing projects, including AI-based lung cancer screening and prognosis prediction for adenocarcinoma, promise to shape the future of diagnostic medicine. With a robust portfolio of patents, publications, and collaborative research, Dr. Park is poised to make lasting contributions to both academic and clinical communities, further solidifying his role as a pioneer in medical AI.

 

Publications

📝 Deep Learning-Based Joint Effusion Classification in Adult Knee Radiographs: A Multi-Center Prospective Study
Authors: Hyeyeon Won, Hye Sang Lee, Daemyung Youn, Doohyun Park, Taejoon Eo, Wooju Kim, Dosik Hwang
Journal: Diagnostics
Year: 2024

📝 M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography
Authors: Yunsu Byeon, Hyeseong Kim, Kyungwon Kim, Doohyun Park, Euijoon Choi, Dosik Hwang
Journal: Book Chapter
Year: 2024

📝 Weakly Supervised Deep Learning for Diagnosis of Multiple Vertebral Compression Fractures in CT
Authors: Euijoon Choi, Doohyun Park, Geonhui Son, Seongwon Bak, Taejoon Eo, Daemyung Youn, Dosik Hwang
Journal: European Radiology
Year: 2023

📝 Development and Validation of a Hybrid Deep Learning–Machine Learning Approach for Severity Assessment of COVID-19 and Other Pneumonias
Authors: Doohyun Park, Ryoungwoo Jang, Myung Jin Chung, Hyun Joon An, Seongwon Bak, Euijoon Choi, Dosik Hwang
Journal: Scientific Reports
Year: 2023

📝 Importance of CT Image Normalization in Radiomics Analysis: Prediction of 3-Year Recurrence-Free Survival in Non-Small Cell Lung Cancer
Authors: Doohyun Park, Daejoong Oh, MyungHoon Lee, Shin Yup Lee, Kyung Min Shin, Johnson SG Jun, Dosik Hwang
Journal: European Radiology
Year: 2022

 

Fang Wang | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

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Dr. Fang Wang | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

Maastricht University | Netherlands

Author Profile

Scopus

Orcid

Early Academic Pursuits 📚

Dr. Fang Wang's academic journey began with a Bachelor’s degree in Pharmacology from Nanchang University, where she developed an oxidative stress model in LO2 cells to test stress amelioration compounds. She continued her studies with a Master's degree in Cell Biology at the same university, focusing on the role of progesterone adiponectin receptor 7 in reproduction and differences in protein post-translational modifications. Currently, she is pursuing a PhD in Cell Biology at Maastricht University, investigating substrate metabolism in diabetic cardiomyopathy and novel treatments using bioactive components from Traditional Chinese Medicine.

Professional Endeavors 🔬

With over seven years of experience, Dr. Wang has built a strong foundation in preclinical research, drug development, scientific communication, and project management. Her professional career includes internships at Shanghai ChemPartner Co., Ltd. and Jiangxi Zhby Biotech Co. Ltd., where she gained hands-on experience in molecular biology testing and research planning. Her current roles involve significant contributions to research in metabolic disorders and male infertility, with a focus on protein translocation and endosome pH regulation.

Contributions and Research Focus 🌟

Dr. Wang’s research primarily targets the intersection of metabolic disorders and drug development, specifically focusing on diabetic cardiomyopathy and the impact of Traditional Chinese Medicine on cardiac health. Her work includes investigating novel treatment strategies and exploring the mechanisms of substrate metabolism, protein translocation, and endosome pH regulation. Her expertise spans a wide range of molecular and cell biology techniques, including advanced imaging and bioinformatics.

Accolades and Recognition 🏆

Dr. Wang has made notable contributions to the field through her publications and presentations at various conferences. Her research on lipid-induced contractile dysfunction and diabetic cardiomyopathy has been recognized in leading journals and upcoming publications. Her work is highly regarded in the scientific community, reflecting her commitment to advancing healthcare solutions.

Impact and Influence 🌍

Dr. Wang's research has a profound impact on understanding and treating metabolic disorders, particularly in diabetic cardiomyopathy. Her innovative approaches and exploration of traditional medicine offer promising solutions for improving patient outcomes and advancing the field of metabolic disease research. Her contributions are shaping new therapeutic strategies and enhancing the quality of life for patients.

Legacy and Future Contributions 🚀

Dr. Wang's future endeavors are set to further explore and develop cutting-edge healthcare solutions. Her ongoing research aims to refine treatment strategies for metabolic disorders and improve the efficacy of drug development. By integrating advanced techniques and traditional medicine, she is poised to make significant strides in the field, contributing to a healthier future and advancing scientific knowledge.

 

Publications 📕

  • 📝 Specific Compounds Derived from Traditional Chinese Medicine Ameliorate Lipid-Induced Contractile Dysfunction in Cardiomyocytes
    • Authors: Fang Wang, Dietbert Neumann, Dimitrios Kapsokalyvas, Martijn Hoes, Francesco Schianchi, Jan Glatz, Miranda Nabben, Joost J. F. P. Luiken
    • Journal: International Journal of Molecular Sciences
    • Year: 2024
  • 📝 Glycolysis-Mediated Activation of v-ATPase by Nicotinamide Mononucleotide Ameliorates Lipid-Induced Cardiomyopathy by Repressing the CD36-TLR4 Axis
    • Authors: Shujin Wang, Han YinYing, Ruimin Liu, Hou M, Dietbert Neumann, Jun Zhang, Wang F, Yumeng Li, Zhao X, Francesco Schianchi et al.
    • Journal: Circulation Research
    • Year: 2024
  • 📝 Progestin and adipoQ receptor 7 (PAQR7) mediate the anti-apoptotic effect of P4 on human granulosa cells and its deficiency reduces ovarian function in female mice
    • Authors: Li J, Liu Y, He J, Wu Z, Wang F, Huang J, Zheng L, Luo T
    • Journal: Journal of Ovarian Research
    • Year: 2024
  • 📝 CD36 as a target for metabolic modulation therapy in cardiac disease
    • Authors: Glatz JFC, Wang F, Miranda Nabben, Luiken JJFP
    • Journal: Expert Opinion on Therapeutic Targets
    • Year: 2021
  • 📝 Diet-induced obesity is associated with altered expression of sperm motility-related genes and testicular post-translational modifications in a mouse model
    • Authors: Wang F, Chen H, Chen Y, Cheng Y, Li J, Zheng L, Zeng X, Luo T
    • Journal: Theriogenology
    • Year: 2020

 

Bin Hu | Medicine and Dentistry | Best Researcher Award

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Mr. Bin Hu | Medicine and Dentistry | Best Researcher Award

Hubei University of Technology | China

Author Profile

Scopus

Early Academic Pursuits

Bin Hu embarked on his academic journey at Hubei University of Technology, specializing in computer vision. During his undergraduate studies, he demonstrated exceptional promise by authoring three papers, including a groundbreaking cell nucleus segmentation method published in a prestigious journal.

Professional Endeavors

Currently pursuing graduate studies, Bin Hu has amassed over 7 years of experience in computer vision. He has led research projects during his postgraduate studies and actively contributed to multidisciplinary collaborations, showcasing his ability to tackle diverse challenges.

Contributions and Research Focus

Bin Hu's research focuses on computer vision, with a particular emphasis on developing advanced segmentation methods for medical imaging. His recent work introduces the Double-stage Codec Attention Network, a novel approach for accurate nucleus segmentation from tissue images. This method leverages hierarchical feature extraction, feature selection units, and multi-scale deep feature fusion to achieve superior segmentation performance.

Accolades and Recognition

Bin Hu's contributions have garnered recognition both nationally and internationally. He holds two national patents for inventions in his field and has presented his research at esteemed conferences such as IEEE Transactions on Medical Imaging. His pioneering work has earned him awards and recognition.

Impact and Influence

Bin Hu's research has significant implications for clinical applications, particularly in the field of medical imaging. His innovative segmentation methods, such as DSCA-Net, outperform state-of-the-art models and demonstrate excellent efficiency in generating predictive images. His contributions have the potential to advance the field of computer vision and improve medical diagnosis and treatment.

Legacy and Future Contributions

Bin Hu's expertise in computer vision and his practical problem-solving skills position him as a valuable contributor to innovative projects in both academic and industrial settings. His dedication to advancing research in medical imaging underscores his commitment to making meaningful contributions to society. As he continues his academic and professional journey, Bin Hu aims to further expand his research portfolio and drive advancements in computer vision technology.

Notable Publications

DSCA-Net: Double-stage Codec Attention Network for automatic nuclear segmentation 2024

Focus Stacking with High Fidelity and Superior Visual Effects 2024