AI framework adapts to patchy microbial data to flag food safety risks
Food safety monitoring has a data problem that has little to do with how much data exists.
Food safety monitoring has a data problem that has little to do with how much data exists.
A citizen science project with Spanish secondary school students has led to the description of Craticula scientiacivica, a new diatom ...
A calcite-based composite made with finely ground kufeki-musselstone powder closed deep scratches within 6 to 8 seconds through autogenous healing, ...
A new deep learning framework detects species-specific microscopic structures in orchid stem powder with 93.35 percent mean average precision across ...
A controlled experiment on a replica bronze knife shows that patina systematically obscures shallow use-wear traces, introducing a systematic bias ...
SlidePrep detects and inpaints microscope chamber-grid artifacts before assembling calibrated whole-slide images through a command-line pipeline or a containerized web ...
Morphology, chemistry and DNA sequencing have confirmed two new violet cup fungi from temperate forests in Mexico, including the first ...
A study of 511 participants in Nigeria found that a PfHRP2-based rapid diagnostic test detected most malaria infections during high ...
A new AFM study shows that sample preparation and probe choice can dramatically alter how ageing appears in asphalt binders, ...
A first molecular survey of wild birds in Guatemala's Motagua Valley found avian malaria in 38 percent of sampled birds, ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine