AI model (machine learning) helps researchers create most comprehensive maps of chikungunya infections to date

Data suggests more regions at risk of chikungunya transmission than previously thought

For India, between 5 and 12 million people could be at risk of chikungunya infections each year

Data to help public health professionals already working hard to manage outbreaks

A new JAMA Viewpoint urges a middle-ground vaccine policy: acknowledge shared blame, move beyond absolutist tactics, and rebuild public trust through education, clinician communication, and community-based outreach.

Pediatric data show that the increase in long COVID risk was also accompanied by the increased chance of developing a number of other related conditions

Flu season is fast approaching in the northern hemisphere. And a taste-based influenza test could someday have you swapping nasal swabs for chewing gum. A new molecular sensor has been designed to release a thyme flavor when it encounters the influenza virus. Researchers reporting in ACS Central Science say that they plan to incorporate this type of low-tech sensor into gum or lozenges to increase at-home screenings and potentially prevent pre-symptomatic transmission of the disease.

Children and adolescents were twice as likely to experience long COVID after catching COVID for the second time, compared to their peers with a single previous infection, according to a large study funded by the National Institutes of Health (NIH) and published in Lancet Infectious Diseases. These results run counter to the popular perceptions that COVID in children is "mild" and that reinfections with COVID do not carry the same risk of long COVID that initial infections do.

About The Study: This single-center cohort study found that an artificial intelligence (AI)-driven pipeline can successfully automate lymph node segmentation and imaging-based extranodal extension (iENE) classification from pretreatment computed tomography scans in human papillomavirus (HPV)-associated oropharyngeal carcinoma. Predicted iENE was independently associated with worse oncologic outcomes. External validation is required to assess generalizability and the potential for implementation in institutions without specialized imaging expertise.