9th Edition of
World Congress on Infectious Diseases
October 23-25, 2025 | Orlando, Florida, USA
The integration of artificial intelligence (AI) and big data in infectious disease management is transforming the way public health officials and clinicians tackle the global burden of infections. With the power of Artificial Intelligence and Big Data in Infectious Disease Management, AI-driven predictive models can process complex datasets, helping to anticipate outbreaks and track disease progression. Big data analytics provides insights into transmission patterns, resistance trends, and patient demographics, enabling more effective surveillance and intervention strategies. In managing infectious diseases, AI applications are also instrumental in drug discovery, diagnostics, and optimizing treatment regimens. With continuous advancements in AI technology and the expanding availability of big data, the future of infectious disease management holds immense potential for improving global health outcomes.
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Title : Genomic study of various virulence factors of acinetobacter baumannii isolated from clinical specimens in patients with VAP and bloodstream infection
Anant Marathe, Parul University, India
Title : Clinical profile and selected viral genome sequence analysis of SARS-cov-2 infected pediatric patients in a tertiary military hospital in Quezon city from January 2021 – July 2023: a cross sectional study
Deen Mark G Toroy, Armed Forces of the Philippines Medical Center, Philippines
Title : Key thoughts and strategies based on PBL for rapid managing of suspected gram-positive bacterial infection in ICU
Hua Luo, Peking University, China
Title : Critical bloodstream infection caused by chromobacterium violaceum: A case report in a 15-year-old male with sepsis-induced cardiogenic shock and purpura fulminans
Xueqing Wang, Peking University, China
Title : Effect of wechat consultation group on residents staying at home in Sichuan and Chongqing regions during the Coronavirus Disease 2019 (COVID-19) outbreak in China: A cross-sectional study
Xiaolei Hu, Shapingba Hospital, China
Title : Sepsis or HLH? Solving the diagnostic puzzle in multiorgan failure
Xiaojun Shen, Peking University, China
Title : The importance of assessing the mental health of nurses and midwives from COVID 19
Anila Cake, Tirana University of Medicine, Albania
Title : Species identification of Lactose Non-fermenting isolates from Ventilator-associated pneumonia using VITEK 2 and MALDI TOF MS: A comparative study with Next-generation sequencing
Asmabanu Shaikh, Parul University, India
Title : Whole genome sequencing for genetic analysis of virulence factors of nosocomial extensively resistant Klebsiella pneumoniae isolated from different clinical specimens from ICUs
Bhavita Prajapati, Parul University, India
Title : Conserved Antisense RNAs Significantly Inhibit Pan-Coronaviruses
Hongwu Xin, Qilu Medical University, China