Potential risks AI poses in biomedical research, such as algorithmic biases and data privacy concerns
There is enormous potential for application of machine learning models in mass spectrometry research core facility to improve services
Machine Learning models trained on, and poor or biased data can lead to flawed decision-making, perpetuating inequalities
Chemical modulation of proteins enables a mechanistic understanding of biology and represents the foundation of most therapeutics. However, despite decades of research, 80% of the human proteome lacks functional ligands. Chemical proteomics has …
Machine learning to automatize peak picking and peak integration