MathWorks
today announced that Lund
University, one of the world’s leading research universities, used
MATLAB, Neural Network Toolbox, Parallel Computing Toolbox, and MATLAB
Distributed Computing Server to improve long-term survival rates for
heart-transplant recipients by identifying optimal recipient and donor
matches.
Researchers at Lund University and Skåne University Hospital explored
the complex relationships among multiple transplant variables, including
the weight, gender, age, and blood type of both donor and recipient, and
the time during a transplant when there is no blood flow to the heart.
Analyzing the six variables requires the simulation of 30,000 different
combinations, and simulating all these combinations for 50,000 patients
took weeks using an open-source software package that proved to be
unstable and inaccurate.
To address the speed and reliability challenges, the researchers
employed MATLAB and Neural Network Toolbox to develop predictive
artificial neural network (ANN) models. The ANN models were built with
donor and recipient data from two global databases: the International
Society for Heart and Lung Transplantation (ISHLT) registry and the
Nordic Thoracic Transplantation Database (NTTD).
Lund researchers used Parallel Computing Toolbox to program parallel
applications and MATLAB Distributed Computing Server to scale those
applications to a cluster to accelerate the simulation of more than
200,000 ANN configurations. They then evaluated the results to find the
best-performing configuration. The models showed that the prospective
five-year survival rate for the ANN-selected patients was 5–10% higher
than those matched with the criteria physicians use today.
“Many of the techniques we use are computer-intensive and
time-consuming,” said Dr. Johan Nilsson, Associate Professor in the
Department of Cardiothoracic Surgery at Lund University. “Working with
MathWorks tools, we completed experiments that regularly took three to
four weeks in about five days. Being able to access and analyze
tremendous amounts of data at a fast pace helped us build and use our
research models quickly.”
“The gains realized by Lund University are a prime example of how
high-performance computing enables teams to develop more reliable,
complex models in less time,” said Silvina Grad-Freilich, senior
manager, parallel computing marketing at MathWorks. “Engineers and
scientists want to solve their problems faster, and over the past
decade, the ability to available hardware effectively has been a barrier
to their efforts. With tools such as Parallel Computing Toolbox and
MATLAB Distributed Computing Server, MathWorks is addressing this
obstacle.”
About Lund University and Skåne University Hospital
Lund University is one of Europe’s leading universities. Here, history
and tradition lay the ground for the study and research environments of
tomorrow. They offer education and research within engineering, science,
law, social sciences, economics and management, medicine, humanities,
theology, fine art, music and theatre. Through interaction with business
and the community they ensure that knowledge and innovations benefit
society. The University has 47000 students and 6300 staff from all over
the world, based mainly in Lund, Malmö and Helsingborg. They work with
680 partner universities in more than 50 countries.
Skåne University Hospital is the third largest of Sweden's seven
university hospitals and is part of Region Skåne. Their
three cornerstones are: advanced medical care, training and prominent
research. The Hospital is one of the largest emergency medicine
hospitals in Sweden. They offer skilled emergency and trauma medical
care, principally to the citizens within Region Skåne. The hospital has
12,500 employees. Their training and research will be to the benefit of
future patients while also being of great importance for social
development and economic life. 1.7 million people throughout southern
Sweden are able to benefit directly from their highly specialized care.
For additional information, visit www.lunduniversity.lu.se/
or www.skane.se/templates/Page.aspx?id=282103.
About MathWorks
MathWorks is the leading developer of mathematical computing software.
MATLAB, the language of technical computing, is a programming
environment for algorithm development, data analysis, visualization, and
numeric computation. Simulink is a graphical environment for simulation
and Model-Based Design of multidomain dynamic and embedded systems.
Engineers and scientists worldwide rely on these product families to
accelerate the pace of discovery, innovation, and development in
automotive, aerospace, electronics, financial services,
biotech-pharmaceutical, and other industries. MathWorks products are
also fundamental teaching and research tools in the world’s universities
and learning institutions. Founded in 1984, MathWorks employs more than
2200 people in 15 countries, with headquarters in Natick, Massachusetts,
USA.
For additional information, visit www.mathworks.com.
MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See www.mathworks.com/trademarks
for a list of additional trademarks. Other product or brand names may be
trademarks or registered trademarks of their respective holders.

Source(s) : MathWorks, Inc.