AlphaGo Developer DeepMind Enters Healthcare with Streams Platform and Files IPO Prospectus

DeepMind, a subsidiary of Google, is renowned for developing cutting-edge autonomous learning software. These days, its artificial intelligence program AlphaGo is challenging Lee Sedol, the world’s top-ranked Go player from South Korea, sending shockwaves throughout the internet.

With the dust yet to settle, DeepMind, shouldering the sacred mission of leading Alphabet, Google’s parent company, into the life sciences sector, will leverage its powerful machine learning algorithms to open a new frontier in healthcare.

DeepMind Health Collaborates with Physicians to Develop Medical Software

As an artificial intelligence company owned by a web search service provider, DeepMind is venturing into the medical technology industry by applying its expertise to the healthcare sector.

On Wednesday, DeepMind announced that its London subsidiary had joined forces with Imperial College London and the Royal Free London NHS Foundation Trust to establish DeepMind Health. Mustafa Suleyman, co-founder of DeepMind, stated that this new division, currently comprising just 15 employees, is poised for rapid growth in the future. The company has also recruited two physicians to collaborate and guide its research and development efforts.

One of the doctors is Dominic King, a technology developer at Hark, a UK-based healthcare startup that has been acquired by DeepMind as part of its expansion into the medical technology sector. Hark previously developed a task-management smartphone application for clinicians.

Suleiman stated, “Currently, we are primarily dedicated to building trust with clinicians and collaborating with doctors and nurses to develop new products.” Ultimately, DeepMind hopes to apply its machine learning technologies to the healthcare sector.

DeepMind Health has designed a software application called Streams. In a pilot project at the Royal Free Hospital, it enables physicians to rapidly review laboratory test results. Chris Laing, Deputy Medical Director for Patient Safety at the hospital, stated that Streams allows him to view patients’ blood test results within seconds, assess the risk of acute kidney injury, and improve patient care. “The system provides direct alerts and has the capability to prioritize patients, which was not possible before,” said Laing.

This collaboration was largely facilitated by Alphabet, Google’s parent company, marking its expansion into the field of health technology. The Mountain View, California-based company also operates Verily, a life sciences research group, and Calico, an anti-aging company, while Google itself conducts fundamental scientific research. Additionally, the company has built sophisticated cloud computing systems for UK healthcare institutions, which are segregated from Google’s primary infrastructure.

“DeepMind’s long-term goal is to provide clinicians with tools to use and analyze the overwhelming volume of information flows,” said Suleyman.

AI Empowers Big Data Mining in Healthcare

Processing massive volumes of medical data requires more powerful algorithms. In recent years, in addition to traditional statistical analysis algorithms, deep learning and artificial intelligence have become powerful tools for extracting knowledge from vast datasets, gradually demonstrating their advantages in big data-driven medical research applications. Here are a few examples:

- In 2015, IBM announced that its supercomputer Watson began offering genomic data analysis to help physicians establish a basis for treating cancer and other diseases.

- A Canadian company, Deep Genomics, used deep learning technology to identify variant sites closely associated with cancer in the non-coding regions of the genome.

– U.S.-based Enlitic (enlitic.com), headquartered in San Francisco, is dedicated to leveraging big data and deep learning to deliver more precise clinical diagnoses.

With the continued advancement of computer technology, and with the advent of cloud computing, mobile internet, and the Internet of Things (IoT), machine learning and artificial intelligence will flourish, empowering medical research and ushering healthcare into a bright new future.。

(Source: Big Data Digest)