An international team of researchers that included developers of the Phenix software suite performed an analysis of AlphaFold predictions, comparing them with both high-quality experimental data and experimentally determined structures. Their results led them to conclude that AI-based protein structure predictions are best considered to be exceptionally useful hypotheses, and that experimental measurements remain essential for confirmation of the details of protein structures.
Researchers at Berkeley Lab Advance Cancer Research Using Artificial Intelligence
BSE Researchers recently published two studies that will help oncologists more precisely understand the state of their patients’ disease or their risk for cancer relapse. As with many diseases, cancer can be challenging to predict and in some cases, impossible to treat. This work, however, is pushing the boundaries of how science and artificial intelligence (AI) can be used to better understand the risks and outcomes of cancer in human health.
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