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Must Read
Penn Scientists Introduce ‘PocketMiner’ for Predicting Cryptic Pockets in Proteins and Expanding the Druggable...
The discovery of cryptic pockets has widened the scope of drug development by permitting the targeting of proteins previously deemed undruggable due to the...
Scientists Introduce Integrated-gut-liver-on-a-chip ‘iGLC’ Platform: an Innovative Human Model for Non-Alcoholic Fatty Liver Disease
Scientists from Kyoto University, Japan, have developed an integrated gut-liver-on-a-chip platform as an in-vitro human model for the study of non-alcoholic fatty liver disease...
Revolutionizing Healthcare: Machine Learning Programs Predict Risk of Death based on Routine Hospital Tests...
Healthcare providers have been using routine hospital tests to evaluate patients' health for decades. Electrocardiogram (ECG) tests are frequently a part of these tests....
Machine Learning-aided Multiscale Transcriptomics Results in Pediatric Cancer Atlas for Diagnostic Classification
Scientists from The Hospital for Sick Children, Toronto, have developed an atlas for childhood cancer diagnostic classification using machine learning approaches. Pediatric cancers are...
Transforming Protein Design with “ProT-VAE”: A Novel Approach Made Protein Engineering Easier with Deep...
Due to the absence of adequate theoretical models and the enormous protein sequence space, the data-driven design of proteins with particular functions is difficult....