A research team introduces PodNet, the first real-time instance segmentation model designed for preharvest soybean fields.
Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning
Deep transfer learning methodologies reveal hidden heterogeneity in β-cells driven by type 2 diabetes and obesity.
A research team introduces a scalable, drone-based 3D reconstruction pipeline combined with a novel deep learning framework—SegVoteNet—to phenotype sorghum panicles in field trials.
This article explores the science behind emerging 3D pregnancy scans and what the future holds for preventing pregnancy ...
Deep learning model outperformed clinical tools, cutting false positives and enhancing accuracy in CT lung cancer screening ...
Machine learning identifies disease-specific signatures in organoids derived from schizophrenia and bipolar disorder patients.
A deep learning model was able to determine the presence or absence of distinct autoimmune neuroinflammatory disorders.
Governments have the right to decide how to spend money on science. Modelling shows that making instant cuts to grants ...
CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...
In the field of pathology, the integration of artificial intelligence (AI) and genomics is paving the way for precision diagnostics that were once thought ...
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