Cancer is a leading cause of death around the globe, with an estimated 600,000 yearly deaths in the United States alone. Research shows that one in two will develop cancer throughout their lifetime. So far, over 90 billion USD has been spent on cancer research and treatment by The National Cancer Institute. No cure has been found yet. To improve research effectiveness and help put an end to cancer, IBM began three AI-powered projects (PaccMann, INtERAcT, and PIMKL) and made them available for public communities.

Every stem cell is different from other stem cell and therefore, it is tough to map a pattern between them. A new online catalogue made using artificial intelligence (AI) based prediction will have 6,000 different images predicting stem cell structures, which could make mapping a pattern of cells easier. The Allen Cell Explorer made by the Allen Institute for Cell Science in Seattle, Washington will have pictures of induced pluripotent stem cells (iPS), which will glow using fluorescent markers to highlight different genes.The visuals, which have been created using AI-based deep learning analysis and cell lines altered using gene editing tool Crispr will allow researchers to analyze the variations in the cell layouts, which could help cure diseases such as cancer. According to Rick Horwitz, Director, Allen Institute for Cell Science, the images will help in stem cell research by revealing different aspects of cellular structure. "You can't predict the outcome of a football game if you know stats on all the players but have never watched a game," he told the Nature journal Wednesday, comparing cellular prediction to a football game.