sdtc.se Open in urlscan Pro
109.235.174.5  Public Scan

Form analysis
0 forms found in the DOM

Text Content

 * Digital Twins
 * The Concept
 * The Consortium
 * Links / Media
 * News
 * Publications


SWEDISH DIGITAL TWIN CONSORTIUM

Contact Us

One of the most important health care problems is that a large number of
patients do not respond to drug treatment. According to a report from the FDA,
medication is deemed ineffective for 38-75 % of patients with common diseases.
This problem reflects the complexity of common diseases. These may involve
altered interactions between thousands of genes, which differ between patients
with the same diagnosis. There is a wide gap between this complexity and modern
health care, in which diagnostics often relies on a limited number of unspecific
diagnostic markers.


DIGITAL TWINS

Digital twins is a concept from engineering, which has been applied complex
systems such as airplanes or even cities The key idea is to computationally
model those systems, in order to develop and test them more quickly and
economically than in real life. STDC aims to apply this concept to personalize
medicine, by constructing 1) network models of all molecular, phenotypic and
environmental factors relevant to disease mechanisms in individual patients
(digital twins); and 2) computationally treat those twins with thousands of
drugs in order to identify the best one or ones to 3) treat the patient (Figure
1).


THE CONCEPT

Figure 1. The digital twin concept for personalized medicine (from Björnsson et
al. Genome Medicine).

A) An individual patient with a local sign of disease (red).

B) A digital twin of the patient is constructed in unlimited copies, based on
high-performance computational integration of thousands of disease-relevant
variables.

C) Each twin is computationally treated with one or more of thousands of drugs.
This results in digital cure of one patient (green). D) The drug that has the
best effect on the twin is selected for treatment of the patient.


THE CONSORTIUM

The STDC is a multi-disciplinary consortium with partners from health care,
medical and technical faculties and industry. The academic partners come from
Karolinska Institute, Karolinska Hospital, Linköping University, Linköping
University Hospital, Chalmers Institute of Technology and Lund University.


LINKS

 * Genomic Medicine Sweden
 * Swedish National Infrastructure for Computing
 * NORA (Nordic Project)
 * Doctis (EU project)
 * Digital Twins (Article)


MEDIA

 * Healthcare in Europe
 * SVT (Swedish Television)
 * DN (Swedish Daily)
 * SvD (Swedish Daily)
 * TV4 (Swedish Television)


COLLABORATION WITH ARTISTS

 * Music video "Relapse and Remission"
 * Zsuzsanna Larsson Gilice
 * Magnus Larsson
 * Johan Ramström

The background to Relapse and Remission are questions reflecting the limits of a
scientific article: Is it possible to express the individual experience of
having a chronic disease, as well as the underlying molecular complexity and
variability of such a disease? Can art interact with science to address these
questions? If so, can this result in other forms of understanding that
transcends the limits of either of the two? Relapse and Remission aimed to
explore these questions: Two artists, Zsuzsanna Larsson Gilice (the drawing) and
Magnus Larsson (the animation) collaborated with Johan Ramström (composer) of
the Royal College of Music in Stockholm, who in turn interacted with patients,
physicians and scientists. Unlike a scientific illustration Relapse and
Remission aims to induce an emotional response, as well as raise questions and
awareness of chronic disease. We see this as a starting point for further
artistic and scientific exploration of these questions.


INTRODUCTORY TALKS

 * International Network Medicine Alliance conference, Harvard: Single
   Cell-Based Digital Twins for Precision Medicine (Day 2, 1:24:00)
 * Lunch seminar, Genomic Medicine Sweden (in Swedish)
 * Opportunities and Challenges for Digital Twins in Biomedical Sciences(A
   workshop, 1:40:15)
 * WG Virtual Seminars


NEWS

 * The Swedish Digital Twin Consortium was cited by Multimodal biomedical AI,
   Nature Medicine, 2022
 * The US National Academy of Sciences, Engineering and Medicine publishes a
   white paper based on a workshop in 2023 about Medical Digital Twins in which
   SDTC was represented
 * Digital twin allows for tailored medication


PUBLICATIONS

 * Science Translational Medicine 2014
 * Lancet Respiratory Medicine 2014
 * Science Translational Medicine 2015
 * Science Translational Medicine 2017
 * Genome Medicine 2019a
 * Genome Medicine 2019b
 * Nature Communications 2019a
 * Nature Communications 2019b
 * Nature Communications 2020
 * PNAS 2021
 * Nature Genetics 2021
 * Genome Medicine 2022
 * Cell Reports Medicine 2023
 * Genome Medicine 2024
 * Preprint.org 2024


Xinxiu Li
xinxiu.li@ki.se