Researchers from The Biomedical Genomics Laboratory at IRB Barcelona have developed a computational tool that identifies cancer driving mutations for […]
The complex nature of the tumour microenvironment poses a great challenge for the extraction of biomarkers of immune response and […]
Recently, researchers have developed a machine learning approach that can predict the fitness trajectories of cancer cells in response to […]
Recently, researchers have used machine learning algorithms to investigate genomic alterations associated with metastatic prostate cancer (mCRPC), in the hope […]
Researchers have developed a machine learning algorithm, called NRPminer, that makes it easier for scientists to develop drugs from natural […]
Moonlighting proteins are a subclass of multifunctional proteins, which play an important role in disease pathways and drug-target discovery. As […]
Researchers from Purdue University have created a new method of bootstrapped machine learning applied to the tandem mass spectrometry process, […]
Recent research has identified anti-schistosomal small molecules based on a Bayesian machine learning strategy for drug discovery. Schistosomiasis Schistosomiasis is […]
At the Festival of Genomics and Biodata 2021, we were joined by Paul Agapow (Health Informatics Director, AstraZeneca), Victor Neduva […]
Opioid use disorder can lead to clinically significant impairment or distress. Researchers have now used machine learning to develop a prediction […]
