11th Edition of World Congress on Infectious Diseases
June 28-30, 2027 | Rome, Italy
Genomics and Bioinformatics in Infectious Diseases
Genomics and bioinformatics are revolutionizing the study of infectious diseases, offering powerful tools to uncover the genetic basis of pathogens and their interactions with hosts. By analyzing the genomes of viruses, bacteria, and other microorganisms, researchers can identify new targets for treatment, track the evolution of pathogens, and predict potential outbreaks. In the realm of genomics and bioinformatics in infectious diseases, high-throughput sequencing technologies and advanced computational methods have significantly enhanced our ability to detect, analyze, and understand pathogens at a molecular level. This approach not only aids in diagnosing infections but also plays a pivotal role in developing personalized medicine and more effective vaccines. As these technologies continue to advance, they promise even more breakthroughs in infectious disease research and treatment.
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