Scientists have developed a way of finding optimal peptide sequences: using a machine-learning algorithm as a collaborator. The algorithm analyzes experimental data and offers suggestions on the next ...

Researchers in France report that they have developed a machine learning toolbox that can read and analyze protein sequences. Their study (“Learning protein constitutive motifs from sequence data”) ...

Artificial intelligence has exploded across our news feeds, with ChatGPT and related AI technologies becoming the focus of broad public scrutiny. Beyond popular chatbots, biologists are finding ways ...

Biologists have used machine learning, a type of AI, to identify 'synthetic extreme' DNA sequences with specifically designed functions in gene activation. They tested 50 million DNA sequences and ...

Stanford University researchers developed a machine learning-based method capable of diagnosing multiple diseases using B cell and T cell receptor sequences. The model, called Machine learning for ...

Two thousand two hundred twelve study patients were, on average, 63.0 years old, 69.9% of them were men, and 61.9% had a nonsquamous cell carcinoma. During the 2 years after nivolumab treatment ...

Figure 1. Flowchart of the working principle of machine learning based on single-round nucleic acid aptamer screening sequences, including: deep learning of core sequences, machine learning analysis ...