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Deep learning tool sets benchmark for accurate rice panicle counting across growth stages
Subscribe to our newsletter for the latest sci-tech news updates. Rice panicle counting has historically relied on detection-, density-, or location-based methods. However, detection models struggle ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.
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