Nav: Home

Diagnostics of genetic cardiac diseases using stem cell-derived cardiomyocytes

June 19, 2018

A new study by Professors Martti Juhola and Katriina Aalto-Setälä of the University of Tampere in Finland demonstrates that with the use of artificial intelligence and machine learning, it is possible not only to accurately sort sick cardiac cell cultures from healthy ones, but also to differentiate between genetic cardiac diseases.

iPSC-derived cardiomyocytes can be derived from a blood sample or a skin biopsy. These cells are currently used to understand the pathophysiology of different diseases and to identify new potential drugs for various diseases.

Machine learning and artificial intelligence have greatly improved in recent years. Scientists at the University of Tampere have now combined stem cell technology and artificial intelligence to study beating cardiomyocytes in cell cultures. The beating behavior of the cells was analyzed using calcium signals. Calcium is essential for cardiomyocytes to beat, and the beating can be monitored by using fluorescent labels.

In the study, the cardiomyocytes were derived either from patients with a genetic arrhythmia (CPVT), long QT syndrome (LQTS), or hypertrophic cardiomyopathy (HCM), or from healthy individuals. The beatings of single cardiomyocytes were recorded and the analysis software was taught what diseases they represented. The program then learned to separate the different groups and to identify specific features in the beating behavior of each cell.

The software is now capable of identifying whether signals are from cells derived from an individual carrying a disease-causing mutation or from a healthy individual. This is very impressive, but the biggest surprise was that the program could also tell the difference between the diseases.

This important observation reveals that iPSC-derived cells and artificial intelligence have the potential to be used in diagnostics. Currently, genetic diseases are mainly diagnosed by DNA analysis, but in many cases the results do not reveal whether the DNA alteration is the true cause of the disease or whether it is just an innocent variation. This new finding demonstrates that uniting artificial intelligence and machine learning can help in such situations. The combination of technologies could also be used in cases of unspecific but severe cardiac findings to identify the specific disease causing the symptoms.
-end-
See the article in Scientific Reports: http://www.nature.com/articles/s41598-018-27695-5

University of Tampere

Related Artificial Intelligence Articles:

Applying artificial intelligence to science education
A new review published in the Journal of Research in Science Teaching highlights the potential of machine learning--a subset of artificial intelligence--in science education.
New roles for clinicians in the age of artificial intelligence
New Roles for Clinicians in the Age of Artificial Intelligence https://doi.org/10.15212/bioi-2020-0014 Announcing a new article publication for BIO Integration journal.
Artificial intelligence aids gene activation discovery
Scientists have long known that human genes are activated through instructions delivered by the precise order of our DNA.
Artificial intelligence recognizes deteriorating photoreceptors
A software based on artificial intelligence (AI), which was developed by researchers at the Eye Clinic of the University Hospital Bonn, Stanford University and University of Utah, enables the precise assessment of the progression of geographic atrophy (GA), a disease of the light sensitive retina caused by age-related macular degeneration (AMD).
Classifying galaxies with artificial intelligence
Astronomers have applied artificial intelligence (AI) to ultra-wide field-of-view images of the distant Universe captured by the Subaru Telescope, and have achieved a very high accuracy for finding and classifying spiral galaxies in those images.
Using artificial intelligence to smell the roses
A pair of researchers at the University of California, Riverside, has used machine learning to understand what a chemical smells like -- a research breakthrough with potential applications in the food flavor and fragrance industries.
Artificial intelligence could revolutionize sea ice warnings
Today, large resources are used to provide vessels in the polar seas with warnings about the spread of sea ice.
A hidden history of artificial intelligence in primary care
Artificial intelligence methods are being utilized in radiology, cardiology and other medical specialty fields to quickly and accurately process large quantities of health data to improve the diagnostic and treatment power of health care teams.
Identifying light sources using artificial intelligence
Identifying sources of light plays an important role in the development of many photonic technologies, such as lidar, remote sensing, and microscopy.
Artificial intelligence could serve as backup to radiologists' eyes
Deploying artificial intelligence could help radiologists to more accurately classify lung diseases.
More Artificial Intelligence News and Artificial Intelligence Current Events

Trending Science News

Current Coronavirus (COVID-19) News

Top Science Podcasts

We have hand picked the top science podcasts of 2020.
Now Playing: TED Radio Hour

Listen Again: The Power Of Spaces
How do spaces shape the human experience? In what ways do our rooms, homes, and buildings give us meaning and purpose? This hour, TED speakers explore the power of the spaces we make and inhabit. Guests include architect Michael Murphy, musician David Byrne, artist Es Devlin, and architect Siamak Hariri.
Now Playing: Science for the People

#576 Science Communication in Creative Places
When you think of science communication, you might think of TED talks or museum talks or video talks, or... people giving lectures. It's a lot of people talking. But there's more to sci comm than that. This week host Bethany Brookshire talks to three people who have looked at science communication in places you might not expect it. We'll speak with Mauna Dasari, a graduate student at Notre Dame, about making mammals into a March Madness match. We'll talk with Sarah Garner, director of the Pathologists Assistant Program at Tulane University School of Medicine, who takes pathology instruction out of...
Now Playing: Radiolab

What If?
There's plenty of speculation about what Donald Trump might do in the wake of the election. Would he dispute the results if he loses? Would he simply refuse to leave office, or even try to use the military to maintain control? Last summer, Rosa Brooks got together a team of experts and political operatives from both sides of the aisle to ask a slightly different question. Rather than arguing about whether he'd do those things, they dug into what exactly would happen if he did. Part war game part choose your own adventure, Rosa's Transition Integrity Project doesn't give us any predictions, and it isn't a referendum on Trump. Instead, it's a deeply illuminating stress test on our laws, our institutions, and on the commitment to democracy written into the constitution. This episode was reported by Bethel Habte, with help from Tracie Hunte, and produced by Bethel Habte. Jeremy Bloom provided original music. Support Radiolab by becoming a member today at Radiolab.org/donate.     You can read The Transition Integrity Project's report here.