Wei Liu | Medicine and Health Sciences | Best Researcher Award

Wei Liu | Medicine and Health Sciences | Best Researcher Award

Prof. Dr Wei Liu Hunan, University of Chinese Medicine, China

Prof. Dr. Wei Liu is a distinguished scholar in Artificial Intelligence 🤖, Medical Informatics 🏥, and Intelligent Software Engineering 💻, serving as Deputy Dean at Hunan University of Chinese Medicine. With a Ph.D. in Engineering 🎓, he has made groundbreaking contributions through 100+ research papers 📄 (30+ indexed in SCI/EI), 2 monographs 📚, and 9 textbooks 📖. His 30+ software copyrights 💡 and leadership in 20+ major projects 🚀, including collaborations with Huawei and national research foundations, solidify his expertise. As a Young Backbone Teacher of Hunan Province, he also excels in mentoring, guiding students to 300+ awards 🏅, including 10+ national gold prizes 🏆. His teaching innovation has earned him national and provincial-level honors, while his contributions to Traditional Chinese Medicine (TCM) Informatics 🌿 further highlight his multidisciplinary excellence. Recognized as a National Certified System Architect 🏗️, SCI journal reviewer 🧐, and a member of CCF, ACM, and CAIS, Prof. Liu is a true leader in his field.

Publication Profile

Scopus

Education

Prof. Dr. Wei Liu holds a Ph.D. in Engineering (Computer Application Technology) 🖥️ from a prestigious institution, where he specialized in Artificial Intelligence 🤖 and Medical Informatics 🏥. His doctoral research focused on intelligent software systems, integrating machine learning 📊 with healthcare applications 🏩. Prior to his Ph.D., he completed his Master’s degree 🎓 in Computer Science, gaining deep expertise in data-driven decision-making 💾 and intelligent algorithms 🔍. His academic journey also includes undergraduate studies in Software Engineering 💡, where he built a strong foundation in computational intelligence 🧠, biomedical computing 🏥, and software development 💻. With an interdisciplinary education spanning engineering, computer science, and informatics, Prof. Liu combines technical depth with practical innovation, making his academic background perfectly suited for pioneering AI-driven healthcare solutions 🚑. His commitment to education 📚 continues as he mentors students and professionals in next-generation AI research and applications 🤖📊.

Experience

Prof. Dr. Wei Liu serves as the Deputy Dean of the School of Informatics 🏛️ at Hunan University of Chinese Medicine, leading research in Artificial Intelligence 🤖, Medical Informatics 🏥, and Software Engineering 💻. As a Professor and Senior Engineer 👨‍🔬, he supervises Master’s students 🎓, guiding them in cutting-edge AI research 🚀. With a rich teaching career 📚, he has developed three top-level provincial courses 🎖️ and ranked 1st in the Hunan Provincial Teaching Competition 🏆. His industry collaborations with Huawei and leadership in 20+ national projects 🏗️ highlight his practical impact 🌍. He actively contributes as a Vice President of the Hunan Association for TCM Informatics 🌿 and serves on multiple national AI and computing committees 🤝. His work as an SCI journal reviewer 🧐 and National Certified System Architect 🏗️ ensures that his research, teaching, and innovation continue to shape the future of AI-driven medical solutions 🔬.

Awards & Honors

Prof. Dr. Wei Liu is a distinguished researcher and educator 🌟, renowned for his contributions to AI, medical informatics, and teaching innovation 📚. His accolades include the National Teaching Innovation Competition Second Prize 🏆 (2024), 1st Place in the Hunan Provincial Teaching Competition 🎖️, and the National TCM Informatics Teaching Gold Prize 🏅. He has been honored as the “Most Knowledgeable Young Teacher” in Hunan Province 🏆 and recognized as a Young Backbone Teacher 👨‍🏫. A recipient of the Huawei Industry-Academia Collaboration Excellence Award 🏅, he also serves as an Executive Member of National AI Committees 🤖. His mentorship has led students to win 300+ awards 🏆, including over 10 national gold prizes 🥇. As a pioneer in AI-driven medical technologies 🌍, his impact extends across academia and industry 🚀.

Research Focus

Prof. Dr. Wei Liu’s research spans Artificial Intelligence 🤖, Medical Informatics 🏥, and Intelligent Software Engineering 💻, focusing on AI-driven healthcare solutions 📊, big data analysis 🏩, and intelligent diagnosis 🏥. His expertise includes AI-based disease prediction, NLP for medical data 📜, deep learning for medical imaging 🧠📸, and IoT-driven smart healthcare 🚑. Integrating AI with Traditional Chinese Medicine 🌿🤖, he pioneers innovative patient care solutions. With 30+ software copyrights 💡, 100+ high-impact publications 📄, and national-level projects—including Huawei collaborations 🚀—his work enhances precision medicine, diagnostics, and medical software applications 🌍, revolutionizing healthcare technology.

Publication Top Notes

Recognition of Hand-Drawn Hydrocarbon Structure Formulas Using Anchor-Free Detector

Classification of cold and hot medicinal properties of Chinese herbal medicines based on graph convolutional network

ChemReco: automated recognition of hand-drawn carbon–hydrogen–oxygen structures using deep learning

SQCS: A sustainable quality control system for spatial crowdsourcing via three-party evolutionary game: Theory and practice

Truth based three-tier Combinatorial Multi-Armed Bandit ecosystems for mobile crowdsensing

YoDe-Segmentation: automated noise-free retrieval of molecular structures from scientific publications

 

Jonathan Trent | Medicine and Health Sciences | Lifetime achievement Award

Jonathan Trent | Medicine and Health Sciences | Lifetime achievement Award

Prof. Dr Jonathan Trent, Sylvester Comprehensive Cancer Center, University of Miami, United States

Prof. Dr. Jonathan Trent is a distinguished oncologist and researcher, specializing in sarcoma and precision medicine. With an MD and PhD from The University of Texas Health Science Center, he has dedicated his career to advancing cancer treatment. As Associate Director of Clinical Research at Sylvester Comprehensive Cancer Center, he leads groundbreaking studies in medical oncology. His leadership in precision medicine has transformed sarcoma treatment strategies. A prolific author, he has contributed to numerous high-impact publications, shaping the future of cancer therapy. Recognized for his mentorship and excellence in patient care, he has received prestigious awards like Sylvester Outstanding Mentor of the Year. His commitment to clinical innovation and translational research continues to impact oncology worldwide.

Publication Profile

Scopus

Education

Prof. Dr. Jonathan Trent earned his BS in 1988 from Southeastern Oklahoma State University, Durant, OK. He then pursued an MD-PhD program at The University of Texas Health Science Center, Houston, TX (1988-1995), where he developed expertise in oncology and medical research. His postgraduate training includes a Clinical Internship (1995-1996) and a Clinical Residency (1997-1999) at the same institution. He further specialized in cancer treatment through a Medical Oncology Fellowship at MD Anderson Cancer Center (1999-2002), where he also served as Chief Fellow. His extensive academic training laid a strong foundation for his groundbreaking research in sarcoma and precision medicine.

Experience

Prof. Dr. Jonathan Trent began his academic career as Assistant Professor (2002-2008) and later Associate Professor (2008-2011) at MD Anderson Cancer Center. He also served as an Adjunct Professor (2014-2015) at its Graduate School of Biomedical Sciences. Since 2013, he has been a Professor of Medicine at the University of Miami, where he is also Associate Director of Clinical Research, Director of the Sarcoma Medical Research Program, and Director of Precision Medicine at Sylvester Comprehensive Cancer Center. His leadership in sarcoma research, clinical trials, and precision oncology has significantly advanced cancer treatment.

Awards and Honors

Prof. Dr. Jonathan Trent has received numerous prestigious awards for his contributions to oncology, including the Sylvester Outstanding Mentor of the Year 🏆 (Miller School of Medicine, 2015), the Outstanding Care Award 🏅 (Sarcoma Alliance, 2012), and the Leadership in Clinical Research 🎖️ (Sylvester Comprehensive Cancer Center). He is an esteemed member of elite professional organizations such as the American Society for Clinical Oncology (ASCO), the American Association of Cancer Research (AACR), and The Max Foundation. His dedication to oncology research and patient care has earned him national and international recognition.

Research Focus

Prof. Dr. Jonathan Trent’s research focuses on sarcoma, targeted therapies, and precision oncology. He has played a pivotal role in the development of novel therapies, including TRK fusion inhibitors, CDK7-targeted treatments, and IDH1 mutation-based interventions. His work has significantly improved the understanding of leiomyosarcoma, chondrosarcoma, and desmoid tumors. As Director of Sarcoma Medical Research and Precision Medicine at Sylvester Comprehensive Cancer Center, he integrates genomic profiling and personalized treatment strategies to enhance patient outcomes. His extensive clinical trials and translational research have shaped modern sarcoma therapies, contributing to groundbreaking advancements in oncology.

Publication Top Notes

A Phase I Study of FHD-609, a Heterobifunctional Degrader of Bromodomain-Containing Protein 9, in Patients with Advanced Synovial Sarcoma or SMARCB1-Deficient Tumors

Gastrointestinal Stromal Tumor Patients with Molecular Testing Exhibit Superior Survival Compared to Patients without Testing: Results from the Life Raft Group (LRG) Registry

Beyond the Driver Mutation: Immunotherapies in Gastrointestinal Stromal Tumors

Sensitive and specific multi-cancer detection and localization using methylation signatures in cell-free DNA

Notch pathway inhibition with LY3039478 in soft tissue sarcoma and gastrointestinal stromal tumours

Use of tyrosine kinase inhibitors in patients with GI stromal tumor who are pregnant or considering pregnancy: Driver mutations and circulating tumor DNA

Limb-sparing surgery plus radiotherapy results in superior survival: an analysis of patients with high-grade, extremity soft-tissue sarcoma from the NCDB and SEER