Leveraging social media data and large language models for understanding public health behaviours in the context of infectious diseases and vaccination
Life-threatening "breakthrough"cases of critical COVID-19 are attributed to poor or waning antibody (Ab) response to SARS-CoV-2 vaccines in individuals already at risk. Preexisting auto-Abs neutralizing type I IFNs underlie at least 15% of critical COVID-1 ...
Importance: Hospitals that serve poorer populations have higher readmission rates. It is unknown whether these hospitals effectively lowered readmission rates in response to the Hospital Readmissions Reduction Program (HRRP). Objective: To compare pre-post ...
Huntington’s disease (HD) is an inherited neurodegenerative disorder caused by an extended poly-glutamine tract in the huntingtin gene (HTT). Despite intensive efforts in understanding its pathogenesis over the decades, effective treatments for HD remain u ...
Background: The software available to date for analyzing image sequences from time-lapse microscopy works only for certain bacteria and under limited conditions. These programs, mostly MATLAB-based, fail for microbes with irregular shape, indistinct cell d ...
Mathematical models can provide key insights into the course of an ongoing epidemic, potentially aiding real-time emergency management in allocating health care resources and by anticipating the impact of alternative interventions. We study the ex post rel ...