Top AI In Genomics Companies: Accelerating Discoveries in Genomics Research

It appears that almost every industry has realized the potential of customized goods and services, ranging from playlists made to your unique tastes to movie and television recommendations based on your viewing history. However, achieving personalization in healthcare is a drawn-out and frequently difficult process. The various obstacles that keep customized treatments out of reach can eclipse the great promise of precision medicine.

 

When combined with clinical, medication, and lifestyle data, genetic information can assist healthcare professionals in identifying early disease indicators or a person's risk of contracting an illness. Researchers and provider organizations are increasingly adopting artificial intelligence to extract useful insights from genomic data as the industry struggles to make sense of the data and integrate it into standard clinical treatment. Let's delve into the AI in genomics and the top AI in genomics companies.

 

Market Facts:

 

According to Polaris Market Research, the global AI in genomics market was valued at USD 689.47 million in 2023 and is expected to grow to USD 16,757.95 million at a CAGR of 42.60% during the forecast period of 2024 to 2032.

 

Top AI in Genomics Companies:

 

Google DeepMind

 

DeepMind Technologies Limited, a British-American AI research center that operates under the name Google DeepMind, is a subsidiary of Google. Originally established in the UK in 2010, it was purchased by Google in 2014 and amalgamated with Google Brain, a branch of Google AI, to form Google DeepMind in April 2023.

 

DeepMind's introduction of neural Turing machines, which are neural networks that can access exterior memory like a traditional Turing machine, made possible a computer that somewhat mimics short-term memory in the human mind.

 

IBM Watson Health

 

Merative L.P., formerly known as IBM Watson Health, is an American medical technology company that uses artificial intelligence, data analytics, cloud computing, and other cutting-edge information technology to help clients facilitate clinical research, medical research, real-world evidence, and healthcare services.

 

On February 18, 2016, IBM Corporation acquired Truven Health Analytics and combined it with IBM's Watson Health division.

 

Sophia Genetics

 

One of the top AI in genomics companies, Sophia Genetics, is a data-driven medical software firm based in Boston, Massachusetts, and Lausanne, Switzerland. It offers radiomic and genetic analysis to medical facilities, research labs, and biopharmaceutical companies.

 

Pierre Hutter, Lars Steinmetz, and Jurgi Camblong co-founded Sophia Genetics in 2011 as a start-up at École Polytechnique Fédérale de Lausanne (EPFL). It started as a research tool for federally regulated healthcare labs and hospitals and later spread to biopharmaceutical establishments.

 

23andMe

 

Located in South San Francisco, California, 23andMe Holding Co. is an American biotechnology and personal genomics corporation. Its most well-known offering is a direct-to-consumer genetic testing service, wherein clients submit a saliva sample for analysis in a laboratory using single nucleotide polymorphism genotyping, which produces reports about the client's ancestry and genetic predispositions to health-related topics.

 

DNAnexus

 

An American startup called DNAnexus is a top AI in genomics companies. It offers a cloud-based platform for managing and analyzing DNA sequence data. It was started in 2009 by Stanford computer scientist Andreas Sundquist and Stanford University academics Serafim Batzoglou and Arend Sidow. The company is headquartered in Mountain View, California.

 

In Conclusion

 

Genomic data generation has increased significantly due to large-scale collaborations and the exponential growth of biomedical research programs. Every year, between two and forty million terabytes of data are produced. One of the main factors propelling the growth of AI in the genomics market is the explosion in the generation of genomic data. As a result, numerous top AI in genomics companies operate in the industry.

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