Table 1 Various types of DTs in healthcare

From: Digital twins for health: a scoping review

Physical Entity

Entity

Mechanism

Endpoint

Lung

Lexma12

Runs simulations of blood and oxygen flow

Predict ventilation requirements

Heart

Dassault13, Medtronic,

Boston Scientific, FDA;

Simulates the structure and physiologic function of the heart

Customization and optimization of cardiac devices

Heart

Siemens Healthineers23

Simulates the structure and physiologic function of the heart

Cardiac resynchronization

Heart

Heart Navigator40

simulated TAVR implantations with different aortic prosthesis

Surgical planning

Spine

Ahmadian et al.42

Predict Vertebral Fracture after Stereotactic Body Radiotherapy

Optimal radiation plan to minimize treatment side effects

Alzheimer’s disease

Unlearnai14

Predicting the individual outcome in neurological diseases

DT of controls of clinical trial and ultimately clinical interventions

Breast lesions

VICTRE trial51

Image based virtual patients comparing digital mammography to tomosynthesis

Determine which imaging tool is better at detecting breast lesions

Oropharyngeal cancer

Tardini et al.61

Optimal treatment selection

Determine optimal treatment plan for oropharyngeal cancer

Type 2 Diabetes

Cleveland Clinic Twin Health NCT0518144988

Disease reversal in type 2 diabetes

Randomized control trial examining twin precision treatment vs. standard of care

Mental health

MindBank AI65, IBM66, Babylon67, DigiTwin68

 

Wellness

Pharma Lab

Atos, Siemens, GSK23,36

 

Optimize drug manufacturing

Biomanufacturing

Teva and AG Pharmaceuticals37

Adjust input conditions Key and Critical Process Parameters

Predictive biomanufacturing

Drug Discovery

Takeda34

 

Drug Discovery

Hospitals

GE Care command24;

Siemens Healthineers23

 

Earlier response times for critical patients,

supply chain management, workflow