11th Edition of World Congress on Infectious Diseases
June 28-30, 2027 | Rome, Italy
Infectious Diseases Diagnostics and Imaging
Infectious diseases diagnostics and imaging play a crucial role in early detection and accurate diagnosis, which are vital for effective treatment. Rapid identification of pathogens through advanced diagnostic techniques enables timely intervention and reduces the spread of infectious diseases. Innovations in molecular diagnostics, such as PCR and next-generation sequencing, are enhancing our ability to detect even low levels of pathogens. Additionally, imaging technologies such as CT scans, MRIs, and X-rays are valuable tools in visualizing infection-related complications, such as organ damage or abscess formation. In the field of infectious diseases diagnostics and imaging, combining molecular techniques with advanced imaging helps clinicians make more informed decisions, improving patient outcomes and guiding appropriate therapies.
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