A new AI tool to predict the spread of infectious disease outperforms existing state-of-the-art forecasting methods.

The tool, created with federal support by researchers at Johns Hopkins and Duke universities, could revolutionize how public health officials predict, track and manage outbreaks of infectious diseases including flu and COVID-19.

Researchers have developed a portable diagnostic system that evaluates an individual’s antibody protection against COVID-19 using just one microliter of fingertip blood. The Tip Optofluidic Immunoassay (TOI) combines high-sensitivity chemiluminescence detection with microfluidic biosensing to assess antibody protection from both pathogen binding and virus inhibition perspectives—all in just 40 minutes. While many platforms measure antibody levels, few capture the functional aspect of immunity: neutralization. TOI incorporates a renovated in vitro inhibition assay (RIVIA), enhanced through rational protein design to achieve high sensitivity and reproducibility. Unlike conventional methods that require large blood volumes and centralized lab facilities, TOI enables comprehensive immune profiling with minimal resources. Validated in over 100 volunteers, the platform shows strong potential for both public health surveillance and personalized immune assessment. This innovation bridges the gap between laboratory diagnostics and real-world healthcare, offering a practical tool for monitoring vaccine effectiveness and tracking immunity against emerging viral variants.

A study by Stanford University and the Institute for Bioengineering of Catalonia describes an innovative technology that enables the large-scale analysis of antibodies in biological samples. Using microscopic beads marked with stable isotopes, this advance surpasses traditional techniques, accelerating the study of immune responses and opening up new possibilities for biomedical research.

Mass General Brigham researchers are shining a powerful new light into the viral darkness with the development of Luminescence CAscade-based Sensor (LUCAS), a rapid, portable, highly-sensitive diagnostic tool for processing complex biological samples. Compared to its diagnostic predecessors, LUCAS creates 500-fold stronger and 8-fold longer-lasting bioluminescence signals, overcoming longstanding challenges faced by point-of-care diagnostics. Their study published today in Nature Biomedical Engineering.