Health

NTT, Harvard announce digital twin partnership to design hearts



NTT Research announced today that its Health & Medical Informatics Lab has signed a three-year joint research agreement with the Harvard John A. Paulson School of Engineering and Applied Science, focusing on twins. digital birth.

WHY IT IMPORTANT

Researchers are working to advance cardiovascular care through a cardiovascular bio-digital twin model. They sought to explain the basic laws of the cardiac pump and other aspects of its function.

The MEI Lab has focused on multi-scale precision cardiology platforms and cardiac technology on a chip. It is developing the infrastructure for a digital replica of an individual’s heart while SEAS’s Pathophysiology Team has been working for nearly 20 years towards its goal of making a human heart.

DBG is an interdisciplinary team with experience building microphysiological systems to simulate the physiology and pathophysiology of the human heart, led by Dr. Kevin Kit Parker, a Harvard professor.

Dr Joe Alexander, director of MEI Labs, said: “His team’s long-term goal is to build a living, functional heart that aligns with CV’s bio-digital twin initiative. we”. “Together, we hope to investigate and challenge tenets of cardiac physiology that may rely more on legend than on experimental verification.”

The MEI lab has developed bioelectrodes as an interface to cells and tissues to accelerate the growth of a CV bio-digital twin in vitro, and DBG has found a way to use these cardiomyocytes derived from human stem cells to understand how muscle pumps are made.

DBG also uses microphysiological systems, or organs on a chip, as a method of testing treatments in vitro in cells reprogrammed into an embryonic-like pluripotent state to recurrence of a disease of concern.

According to the announcement, the promise of joint effort is revealing heart structure-function relationships that may have been overlooked in CV physiology rules.

The direct investigator at NTT Research is Dr Tetsuhiko Teshima, a research scientist at the MEI Laboratories and a guest researcher in the NeuroElectrical Group of the Munich School of Biological Engineering at the Technical University of Munich. .

Ryoma Ishii, who joined NTT Research in June and has been a visiting scientist at Harvard since 2019, will collect the electrophysiological data of heart models in vitro, screening a polymer suitable for electrode surface for electrophysiological measurement of models and research support. joint research projects in other ways.

This partnership with Harvard also extends to NTT Research’s joint research with the university.

TREND TO BIGGER WOMAN

Remote patient monitoring and the growing number of medical devices used in medicine are helping to drive the development of continuous patient monitoring technology and digital twins.

RPM devices provide vast amounts of data that clinicians use to monitor and treat patients, but Gupreet Singh, PwC board member and global medical customer leader , says that health data can be leveraged to evolve healthcare from treating the sick to providing services to the healthy. .

In a discussion with HIMSSTV about the consumer journey and digital twins, Singh described how to reconstruct an individual’s genetic makeup with all its inputs and outputs, then running scripts on it is “discounting hype”.

“The decisions you make today can really affect you in the future – that’s the value proposition. Now the bottom line is how do you transition the parts and context of care. health from treating the sick to actually providing a service to the healthy?”

ON PROFILE

“There needs to be a strong relationship between modelers, like MEI Labs, and organ-on-chip builders, like us,” Parker said in the announcement.

He added: “This joint research project will help ensure a fruitful exchange between the experimental design, the parameter values ​​we generated, and the development of the biological digital twin model. CV”.

Andrea Fox is the senior editor of Healthcare IT News.
Email: [email protected]

Healthcare IT News is a publication of HIMSS.

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