Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
To better characterize the functional context of genomic variations in cancer, researchers at University of California San Diego School of Medicine and the Broad Institute developed a new computer ...
Colorectal cancer mortality dynamics: Uncovering critical disparities in U.S. population health (2018–2023). This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...
Genomic data is vast and increasingly sparse. This problem grows as we sequence more and more patients. Herein, Professor Ennis will describe an algorithmic tool that reduces the sparsity of genomic ...
Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.
For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...
Human disease is complex and influenced by a wide range of genomic variants. Sequencing accuracy is paramount in order to detect this vast array of genomic dysfunction. In genomic and multiomic ...
This article is authored by Dr. GSK Velu, healthtech entrepreneur and CMD, Maxivision, Neuberg and Trivitron.
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