ModellingSelectel and ITMO JV develops multi-agent system technologies for businessspbIT · 3hDigital twinBayesian thermal digital twin for space habitat under impactarXiv API — полнотекстовый поиск "digital twin" · 3dDigital twinData-driven transient forecasting for generator digital twin decision supportarXiv API — полнотекстовый поиск "digital twin" · 2dMarket & productsKorea and Africa Discuss AI and Digital Infrastructure at KOAFECAfDB Africa Newsroom (пресс-релизная витрина) · 3dModellingSeed-Anchored Graph Rendering for QA on Power-Grid CIM/CGMES ModelsarXiv — Systems and Control (eess.SY) · 4dDigital twinDNative-Twin: Graph-Native Digital Twins for Reconstructable Agentic DecisionsarXiv API — полнотекстовый поиск "digital twin" · 3dForecastingEconomic MPC with Policy-Guided Terminal IngredientsarXiv — Systems and Control (eess.SY) · 4dForecastingKoopman-Based Robust MPC for Nonlinear Systems with Intermittent MeasurementsarXiv — Systems and Control (eess.SY) · 4dForecastingFeedback Linearized MPC for Input-Constrained Self-Driving CarsarXiv — Systems and Control (eess.SY) · 4dDigital twinDigital twin of a mouse integrating neural dynamics, biomechanics, and toucharXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinPrototype digital twin of CEBAF injector controlled via EPICSarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinMeasurement-enabled multi-layer digital twin for THz wireless data centersarXiv API — полнотекстовый поиск "digital twin" · 5d
A Physiology-Informed Digital Twin Framework for Simulating Liver Health Progression
US & West ·
The HEPATWIN model is presented as a physiology-informed digital twin of the liver for simulating organ function and early disease stages. The model integrates key metabolic processes and simulates biomarker trajectories based on patient-specific inputs.
Why it matters
This is important as an example of digital twins for long-term prediction in medical systems, which may be analogous to forecasting in industry.
A Bayesian thermal digital twin for space habitats was developed to model impact-induced thermal anomalies. It uses a thermal resistance-capacitance network with physics-based activation functions for model selection and health estimation, enhancing resilience of life support systems.
A calibrated surrogate model for forecasting generator transients was developed to support digital twin decision-making. The model evaluates planned load commands before application using event-conditioned Hankel-DMDc and split-conformal calibration for prediction bands, helping operators ensure voltage and frequency remain within limits.
At the 20th anniversary of the Korea-Africa Economic Cooperation (KOAFEC), Korea and Africa charted a new course for cooperation on artificial intelligence and digital infrastructure. Details of agreements were not disclosed.