Medicinska digitala tvillingar – föreläsningar på Innovationsmässan för Hälsa och sjukvård

Medicinska digitala tvillingar vid hjärtklaffskirurgi: erfarenheter från Mayo Clinic – Jonas Lantz

Välkommen till två föreläsningar på tema digital tvilling under Innovationsmässan för Hälsa och sjukvård.

I denna presentation introducerar vi de grundläggande principerna för 4D Flow CT, en ny metod för att beräkna intrakardiell hemodynamik från redan utförda CT-skanningar. Vi diskuterar sedan dess tillämpning i en pågående studie om hjärtklaffskirurgi, ett samarbete mellan Linköpings universitet och Mayo Clinic i USA, där vi utvärderar hemodynamiken med hjälp av en medicinsk digital tvilling både före och efter operation.

Digital twins that follow you throughout your health journey – Gunnar Cederlund

For the last 20+ years, Cedersund has developed mechanistic mathematical models for all of the main organs in the human body: heart, liver, fat, brain, etc. Lately, these models have combined into an interconnected model for the body as a whole. This interconnected model can be made specifically for each individual, and is then called a digital twin. This digital twin technology employs a hybrid approach, which combines the mechanistic simulation models with machine learning and bioinformatics models. This allows a patient, doctor, or other end-user to look inside the body of a patient, as it is now, ranging from the whole-body to the intracellular level. This also allows for simulations of different future scenarios, ranging from ms to years, and can simulate e.g. the risk of a stroke, depending on choice of diets, exercise, and certain medications. The models are thus of an M4-nature: multi-level, multi-timescale, mechanistic, and multi-organ. The focus on this talk will be on how we systematically test mechanistically hypothesis on the intracellular and organ levels, using mechanistic modelling, optimization, and predictions with uncertainty – followed by corresponding model-designed experiments. I will also to some extent go through how we assemble the different organ sub-models together into the integrated digital twin, which in itself is a modelling problem, and how we then put all of this into a series of different eHealth apps, useful for both individuals, healthcare personnel and drug development companies.

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