A pan-Canadian team has developed a new way to quickly find personalized treatments for young cancer patients, by growing ...

A team developed the catGRANULE 2.0 ROBOT, a machine-learning algorithm to predict protein behavior linked to ...

Oncology Consulting's Amy Cripps discusses the implications of proteomics in cancer research and the developing potential it presents.Castle ...

A team has developed a new way to quickly find personalized treatments for young cancer patients, by growing their tumors in chicken eggs and analyzing their proteins. The team has combined these two ...

This article explores how automation is transforming proteomics by streamlining proteoform analysis, boosting throughput and ...

Researchers have developed new AI models that can vastly improve accuracy and discovery within protein science. Potentially, the models will assist the medical sciences in overcoming present ...

A precision medicine workflow integrating proteomics and personalized xenograft models was developed and applied to an ...

A new set of artificial intelligence models could make protein sequencing even more powerful for better understanding cell biology and diseases.

While DNA sequencing is routine, determining protein sequences remains one of biology’s toughest challenges, says ...

Fractionation or enrichment of specific protein subsets (e.g. phosphoproteomics, N-glycoproteomics). Labeling techniques (e.g., TMT, or iTRAQ for quantitative proteomics). Protein identification and ...

Generative artificial intelligence is aiding scientists in understanding proteins, potentially leading to improved cancer treatments and disease comprehension.