Artificial Intelligence (AI) is changing the way we relate to technology and each other. From the proliferation of chatbots driven by AI to help you buy a new pair of shoes or schedule a meeting to AI that helps you storyboard a film with the right plot twists to lure the right demographic market to make the film a commercial success, AI continues to become of part of our lives.
The next frontier, AI for data driven medicine.
Today’s healthcare consumer has become more engaged in their own medical treatment – from genome sequencing to building a personalized health profile from the data in our fitness /activity trackers. All of that big data is being collated and connected in order to create a more predictive view of our health or medical condition to develop a personalized health profile and treatment scenarios. Data driven medicine has the ability to not only improve the speed and accuracy of diagnosis for genetic diseases but also unlock the possibility of personalized medical treatments.
A Swiss company, Sophia Genetics has created collective AI for data driven medicine called Sophia. Sophia can read and aggregate the genetic code of DNA and predict and diagnose genetic diseases such as cancer. Sophia also uses AI to combine that genome data with analysis, medical science and expert opinion to create a diagnosis which helps healthcare professionals personalize their patients’ treatment.
“Sophia will constantly examine the genomic data of thousands of patients in our network and gradually teach itself to not only identify genomic diseases but to become more accurate in its diagnosis. This is the first time we have introduced machine learning into our operation,” said Jurgi Camblong, CEO and co-founder of Sophia Genetics. “As it constantly learns, it will vastly improve the speed and precision with which we can identify potentially life-threatening diseases, and allow us to diagnose many times more patients than we were able to previously.
From a patient point of view down the road, AI in data driven medicine could allow you to walk into a hospital and be tested for a variety of diseases at the same time and get results in a matter of hours versus months, making months-long medical testing a thing of the past.
“Data-Driven Medicine like this promises to greatly improve the speed and accuracy of diagnosis for genetic diseases and unlock completely personalized treatments,” added Camblong.
This article was originally published on www.forbes.com and can be viewed in full


Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)