11th Edition of World Congress on Infectious Diseases
June 28-30, 2027 | Rome, Italy
Emerging Technologies in Infectious Disease Management
The role of emerging technologies in infectious disease management is becoming increasingly critical as new pathogens and antimicrobial resistance pose growing challenges. In the domain of emerging technologies in infectious disease management, cutting-edge innovations like next-generation sequencing, nanotechnology, and machine learning are providing valuable tools for both prevention and treatment. For instance, rapid diagnostic platforms powered by artificial intelligence enable faster and more accurate detection of infections, while nanomaterials are being developed to deliver targeted drug therapies. These advancements are not only revolutionizing the way infectious diseases are managed but also enhancing global surveillance efforts. As technology continues to evolve, it will become an even more integral part of the fight against infectious diseases, improving both speed and efficacy in disease management.
Elena Chiappini
University of Florence, Italy
Claudia Ferreira
Sorbonne University, France
Sergey Suchkov
N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation
Elena Chiappini
University of Florence, Italy
Claudia Ferreira
Sorbonne University, France
Sergey Suchkov
N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian FederationSubmit your abstract Today
Title : Diagnostic approaches, predictive and prognostic assessments, monitoring, treatment & management of infectious diseases and disease prevention
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation
Title : The accelerated timeline: Human ecology, climate change, and the next global outbreak
Claudia Ferreira, Sorbonne University, France
Title : Recurrent klebsiella pneumoniae pyogenic liver abscess: Developing a literature-informed 0–2 scoring framework from a solved index case
Martha Grace McLean, Anne Burnett Marion School of Medicine at Texas Christian University, United States
Title : Post-hysterectomy pelvic abscess mimic: An AI-assisted diagnostic stewardship workflow
Setu Shiroya, Anne Burnett Marion School of Medicine at Texas Christian University, United States
Title : Building a clinical reasoning tool from post-transplant MRSA sepsis: A mentored ai workflow
Michaela Mitchell, Anne Burnett Marion School of Medicine at Texas Christian University, United States
Title : Diseasequest: Multi-agent AI and reasoning analytics for infectious disease management in medical education
Swapan K Nath, Anne Burnett Marion School of Medicine at Texas Christian University, United States