Researchers unveiled a novel test using solid-state nanopores and machine learning to rapidly detect viral infections by analyzing unique electrical signals as viruses pass through nanoscale pores. This method overcomes the slow turnaround and viability limitations of traditional DNA sequencing diagnostics and proved effective in identifying ocular herpesviruses, opening avenues for more precise and swift viral diagnostics.