Patrice Cacoub | Medicine and Health Sciences | Excellence in Research Award

Prof. Patrice Cacoub | Medicine and Health Sciences | Excellence in Research Award

Medicine and Health Sciences | Professor | Sorbonne University | France

Prof. Patrice Cacoub is a distinguished clinician‐scientist whose education includes medical training leading to a doctorate and professorial appointment at Sorbonne Université, France, where he holds the chair in internal medicine and leads the Inflammation–Immunopathology–Biotherapy unit; he has also completed additional specialization in immunology, hepatology, and systemic diseases. In his professional experience he serves in leadership roles in hospital and university settings, supervises clinical and translational research groups, and participates actively in international consortia; Prof. Patrice Cacoub has authored 1,011 documents, 53,959 citations, 114 h‐index reflecting prolific output and high influence in his field. His research interests focus on autoimmune diseases, vasculitis, hepatitis C and its extrahepatic manifestations, cryoglobulinaemia, systemic inflammatory disorders, and intersecting fields of immunopathology and therapeutic intervention. He has developed strong research skills in clinical trial design, cohort studies, translational biomarkers, immunological assays, epidemiology, and patient‐oriented outcomes, complemented by skills in multidisciplinary collaboration, grant writing, statistical modelling, and supervising PhD students. His awards and honours include prestigious recognitions by national and international societies in medicine and immunology, election to leadership in professional organizations, invitations to keynote symposia, editorial board memberships, and distinguished lifetime or senior researcher awards, underscoring both scientific merit and impact in patient care. In conclusion Prof. Patrice Cacoub’s combination of rigorous academic training, sustained high‐volume publication record, leadership in clinical and translational research, and demonstrable contributions to improving understanding and treatment of systemic inflammatory and infectious disease places him among the top global experts; his work not only advances knowledge but shapes guidelines, influences public health policy, and serves as a foundation for mentoring and training new generations of researchers.

Profile:  Scopus | ORCID | Google scholar

Selected Publications

  1. Clopidogrel and Aspirin versus Aspirin Alone for the Prevention of Atherothrombotic Events — 2006 — ~3,652 citations

  2. Kaposi’s sarcoma-associated herpesvirus-like DNA sequences in multicentric Castleman’s disease — 1995 — ~3,202 citations

  3. Iron deficiency anaemia — 2016 — ~1,096 citations

  4. Pegylated interferon alfa-2b vs standard interferon alfa-2b, plus ribavirin, for chronic hepatitis C in HIV-infected patients: a randomized controlled trial — 2004 — ~1,039 citations

  5. The DRESS Syndrome: A Literature Review — 2011 — ~1,001 citations

  6. Patients with prior myocardial infarction, stroke, or symptomatic peripheral arterial disease in the CHARISMA trial — 2007 — ~921 citations

 

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