重口味SM

This startup combines genomics with one of technology's hottest fields: deep learning

Meet Deep Genomics, a privately-held company that seeks to harness the power of deep learning to transform medicine

It鈥檚 the first startup in the world to combine more than a decade of world-leading expertise in the fields of both deep learning and genome biology.

Its goal: to transform the way genetic diseases are diagnosed and treated.

Launched July 22, was spun out of research at the 重口味SM and its founders say it will transform genetic testing, pharmaceutical development and personalized medicine. The company is already grabbing headlines around the world. (. )

鈥淥ur vision is to change the course of genomic medicine,鈥 said Brendan Frey. The company鈥檚 president and CEO, Frey is also a professor in The Edward S. Rogers Sr. Department of Electrical & Computer Engineering at U of T and a senior fellow of the Canadian Institute for Advanced Research. 

鈥淲e鈥檙e inventing a new generation of deep learning technologies that can tell us what will happen within a cell when DNA is altered by natural mutations, therapies or even by deliberate gene editing.鈥

Scientists have discovered how to read and write the DNA code in a living body, using hand-held genome sequencers and gene-editing systems. But knowing how to write is different from knowing what to write. To diagnose and treat genetic diseases, scientists must predict the biological consequences of both existing mutations and those they plan to introduce.

photo of Brendan Frey with colleagues at white board鈥淐ompanies like Google, Facebook and DeepMind have used deep learning to hugely improve image search, speech recognition and text processing. We鈥檙e doing something very different. The mission of Deep Genomics is to save lives and improve health,鈥 said Frey (pictured at right, in yellow/photo by Roberta Baker). 

Deep Genomics is also releasing its first product, called SPIDEX, which provides information about how hundreds of millions of DNA mutations may alter splicing in the cell, a process that is crucial for normal development. Because errant splicing is behind many diseases and disorders, including cancers and autism spectrum disorder, SPIDEX has immediate and practical importance for genetic testing and pharmaceutical development. The science validating the SPIDEX tool was described in the January 9, 2015 issue of . (.)

鈥淭he genome contains a catalogue of genetic variation that is our DNA blueprint for health and disease,鈥 said Professor Stephen Scherer, director of The Centre for Applied Genomics at SickKids and the McLaughlin Centre atU of T, a CIFAR Senior Fellow, and an advisor to Deep Genomics. 

鈥淏rendan has put together a fantastic team of experts in artificial intelligence and genome biology鈥攊f anybody can decode this blueprint and harness it to take us into a new era of genomic medicine, they can." 

Until now, geneticists have spent decades experimentally identifying and examining mutations within specific genes that can be clearly connected to disease, such as the BRCA-1 and BRCA-2 genes for breast cancer. However, the number of mutations that could lead to disease is vast and most have not been observed before, let alone studied. 

These mystery mutations pose an enormous challenge for current genomic diagnosis. Labs send the mutations they鈥檝e collected to Deep Genomics, and the company uses their proprietary deep learning system, which includes SPIDEX, to 鈥榬ead鈥 the genome and assess how likely the mutation is to cause a problem. It can also connect the dots between a variant of unknown significance and a variant that has been linked to disease. 

鈥淔aced with a new mutation that鈥檚 never been seen before, our system can determine whether it impacts cellular biochemistry in the same way as some other highly dangerous mutation,鈥 said Frey.

Deep Genomics is committed to supporting publicly funded efforts to improve human health. 鈥淪oon after our Science paper was published, medical researchers, diagnosticians and genome biologists asked us to create a database to support academic research,鈥 says Frey. 鈥淭he first thing we鈥檙e doing with the company is releasing this database鈥攖hat鈥檚 very important to us.鈥

鈥淪oon, you鈥檒l be able to have your genome sequenced cheaply and easily with a device that plugs into your laptop. The technology already exists,鈥  Frey said. 鈥淲hen genomic data is easily accessible to everyone, the big questions are going to be about interpreting the data and providing people with smart options. That鈥檚 where we come in.鈥

Deep Genomics envisions a future where computers are trusted to predict the outcome of experiments and treatments, long before anyone picks up a test tube. To realize that vision, the company plans to grow its team of data scientists and computational biologists. Deep Genomics will continue to invent new deep learning technologies and work with diagnosticians and biologists to understand the many complex ways that cells interpret DNA, from transcription and splicing to polyadenylation and translation. Building a thorough understanding of these processes has massive implications for genetic testing, pharmaceutical research and development, personalized medicine and improving human longevity.

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