High-throughput proteomics techniques such as mass spectrometry have the capacity to dramatically change the field as we know it. With […]
A new study, published in the journal Molecular Psychiatry, has developed a deep learning model that is able to genetically […]
A recent study has explored the role of deep learning as a tool for rapid mutational screening in melanoma. Detecting […]
As genomic sequencing becomes more routine, handling the sheer volume of data being produced is causing major issues. We must […]
A new study, published in Nature, outlines an AI-based approach that could help overcome some of the challenges with zinc […]
Scalable, multimodal and AI-enabled approaches are increasingly being used in single cell analysis. Researchers are also combining different types of single-cell data, including spatial biology and perturbation […]
In a recent paper, published in Nature Biotechnology, scientists at the Wellcome Sanger Institute have developed a machine learning tool […]
New multi-omics research has discovered biomarkers that can predict COVID-19 severity in patients. The study, published in The Lancet, coupled […]
Peter Girguis is a Professor in the Department of Organismic and Evolutionary Biology at Harvard University. Peter’s research explores extreme […]
A recent study found that the Earth’s magnetic field plays an important role in neurogenesis, learning & memory mediated by […]
