Pain points for Biomedical digital twins

Pain point: Evolved systems are coupled tangled hot mess with substantial heterogeneity.

Key Question: How are biomedical digital twins(BDTs) different from Digital Twins(DTs) commonly used in other fields including manufacturing and climate science?

Evolved vs manufactured vs non-evolved physical domains
Within organism and across population heterogeneity

Pain Point: Anna Karenina principle: all healthy subsystems are similar, all non-healthy subsystems diverge in their own way.

Key Question: Do we need baseline models of “healthy population” to build models of disease? What are the limitations if we don’t? How hard it is to build good baseline models?
Baseline models > easier to connect to first principles
Baseline models > easier to collect data in some cases

Pain Point: We are all similar to each other but similar in different ways.

Key Question: How should the cohort wide information should inform the BDT?
Parameterize baseline at the level of individual (interpolation)
Default priors
Cohort informed independent priors
Cohort informed manifold
Model disease with in silico perturbations (extrapolation)
Important that the models are connected to mechanistic components

Pain Point: Humans are not good at evaluating 20.000 data points. Patients and clinicians are humans Ergo…

Key Question: What is the interface between a BDT and clinical decision maker? What if the underlying model is not biologically/clinically grounded? What if the model is grounded but practically irreducible to simple causes/explanations?

Is simulation an explanation? Is UQ helpful or not for interpretability? Is interpretability different for interpolation vs. extrapolation components?

Paint Point : Humans don’t like to be poked repeatedly ( a literal pain point).

Key Question: What are the best modalities for digital twins? Imaging, liquid biopsy, wearables? Is there a way to quantify information value / collection cost ? Are there creative ways to augment limited data? How can we deal with sparse, asynchronized multi-modal, multi-scale measurements in a combined way? Baseline vs Longitudinal vs Real Time.

Pain Point: NimBio - Most people want to achieve the public good by sharing their personal biomedical data in a well protected, fair and transparent system. But a small fraction of the population can generate substantial obstacles if they are sharing-averse.

Key Question: What is the best way to advocate for best technical, social, legal and political solutions that balances public good with personal privacy. Is there an ethical way to nudge the system vs Opt-out default vs Opt-in default? (e.g. Denmark)

Pain Point: We have been in the same room for three days but we still provide divergent descriptions of common terms everytime we start explaining our point.

Key Question: How can we establish a common terminology and aspects to facilitate communication and cooperation in the field.
Common examples, use-cases definitions described using common language.

Write you name and contact information here

I am interested in working on a white paper, georges@ecu.edu

Publication: William Pruett, drew@hcsimulation.com

Publication; adam.knapp@medicine.ufl.edu

Publication: David.hormuth@utexas.edu

Publication: David.hormuth@utexas.edu

Contact: anirbanc@oden.utexas.edu

I would be interested in contributing to perspective piece or other publication.

Publication gcfexchange@gmail.com

Publication: jxu13@gmu.edu

Publication, CWu19@mdanderson.org and cw35926@utexas.edu

Publication; songx@ohsu.edu

Publication: Jerry.G.Myers@nasa.gov

Publication demire@ohsu.edu

WG: ethics or sustainability

Interested in creating new Working Group and what topic; songx@ohsu.edu

Gan@med.uvm.edu 

Hi. I am interested in:
2, 5, 8, 9

For 9: I would be interested in a VVUQ working group, and in developing a prototype BDT.

Ansu (snigchat@umbc.edu)

Publication gcfexchange@gmail.com

Interested in contributing to the publication

changliangcao123@gmail.com
5)

I am interested in 1) Delia De Buc's Federated learning topic for next meeting. My current research focuses on Federated Learning for healthcare.

9) Interested in joining/creating and participating in a working group on Federated Learning for Biomedical Digital Twins.

5) interested in participating and contributing to Gary An's workshop on mathematical methods specific to VVUQ of multi-cellular MSM

Contact: Sanjay Purushotham, psanjay@umbc.edu

Publication: keuntae.kim@gwu.edu

Publication gcfexchange@gmail.com

interested in white paper/publication: dabaghme@uwm.edu

interested in white paper/publication: jung-hyun.lee@downstate.edu

interested in working on white paper(s) (feilim@jhu.edu)

I'm interested in contributing to the white paper.