Data from microplastic analyses can inform health recommendations and policy decisions. Machine learning is one tool researchers have started using. I am a machine learning researcher. With a team of ...
For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...
Antibiotic resistance continues to be a worldwide problem. Researchers are use AI computer modeling to help design new compounds. The Conversation — Antibiotic resistance is a growing public health ...
Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.
At the frontier of land science, GeoAI integrates Earth observation, machine learning, and deep learning to produce ...
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Integrative exome sequencing and machine learning identify new genes contributing to systemic sclerosis risk
Systemic sclerosis (SSc) is a severe autoimmune disease with complex genetic causes. Some genetic contributors have been identified, but others remain unknown, which has impeded development of ...
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