Ansys and NVIDIA to Demonstrate New Era of In-Silico Cardiovascular Research at GTC
Ansys (NASDAQ: ANSS) and NVIDIA have unveiled a groundbreaking technology framework that combines AI, advanced simulation, and visualization capabilities. The collaboration introduces PyAnsys-Heart, an open-source Python library enabling detailed heart model simulations in LS-DYNA software.
The framework utilizes NVIDIA NIM microservices for AI-based speech-to-text code generation and integrates with NVIDIA Omniverse for photorealistic visualization. A key feature is a chatbot interface that allows clinicians to generate patient-specific heart models, making complex simulations accessible to non-experts.
Additionally, Ansys announced plans to support NVIDIA's Isaac for Healthcare AI robotics platform, focusing on multi-scale physics and physiology simulation tools. The technology will be demonstrated at NVIDIA GTC in San Jose, March 18-21, 2025, showcasing its potential in revolutionizing cardiovascular research and treatment planning.
Ansys (NASDAQ: ANSS) e NVIDIA hanno svelato un innovativo framework tecnologico che combina intelligenza artificiale, simulazione avanzata e capacità di visualizzazione. La collaborazione introduce PyAnsys-Heart, una libreria Python open-source che consente simulazioni dettagliate di modelli cardiaci nel software LS-DYNA.
Il framework utilizza i microservizi NVIDIA NIM per la generazione di codice speech-to-text basata su AI e si integra con NVIDIA Omniverse per visualizzazioni fotorealistiche. Una caratteristica chiave è un'interfaccia chatbot che consente ai medici di generare modelli cardiaci specifici per i pazienti, rendendo le simulazioni complesse accessibili anche ai non esperti.
Inoltre, Ansys ha annunciato piani per supportare la piattaforma di robotica AI Isaac for Healthcare di NVIDIA, concentrandosi su strumenti di simulazione della fisica e della fisiologia a scala multipla. La tecnologia sarà dimostrata al NVIDIA GTC a San Jose, dal 18 al 21 marzo 2025, mostrando il suo potenziale nel rivoluzionare la ricerca cardiovascolare e la pianificazione del trattamento.
Ansys (NASDAQ: ANSS) y NVIDIA han presentado un innovador marco tecnológico que combina inteligencia artificial, simulación avanzada y capacidades de visualización. La colaboración introduce PyAnsys-Heart, una biblioteca de Python de código abierto que permite simulaciones detalladas de modelos cardíacos en el software LS-DYNA.
El marco utiliza microservicios NVIDIA NIM para la generación de código de voz a texto basada en IA e integra con NVIDIA Omniverse para visualización fotorrealista. Una característica clave es una interfaz de chatbot que permite a los clínicos generar modelos cardíacos específicos para los pacientes, haciendo que las simulaciones complejas sean accesibles para no expertos.
Además, Ansys anunció planes para apoyar la plataforma de robótica AI Isaac for Healthcare de NVIDIA, enfocándose en herramientas de simulación de física y fisiología a múltiples escalas. La tecnología se demostrará en el NVIDIA GTC en San José, del 18 al 21 de marzo de 2025, mostrando su potencial para revolucionar la investigación cardiovascular y la planificación del tratamiento.
Ansys (NASDAQ: ANSS)와 NVIDIA는 인공지능, 고급 시뮬레이션 및 시각화 기능을 결합한 혁신적인 기술 프레임워크를 발표했습니다. 이 협업은 PyAnsys-Heart를 소개하며, 이는 LS-DYNA 소프트웨어에서 상세한 심장 모델 시뮬레이션을 가능하게 하는 오픈 소스 Python 라이브러리입니다.
이 프레임워크는 AI 기반의 음성-텍스트 코드 생성을 위해 NVIDIA NIM 마이크로서비스를 활용하며, 사진처럼 사실적인 시각화를 위해 NVIDIA Omniverse와 통합됩니다. 주요 기능 중 하나는 임상의가 환자 맞춤형 심장 모델을 생성할 수 있도록 하는 챗봇 인터페이스로, 복잡한 시뮬레이션을 비전문가도 접근할 수 있게 합니다.
또한, Ansys는 다중 규모의 물리학 및 생리학 시뮬레이션 도구에 중점을 두고 NVIDIA의 Isaac for Healthcare AI 로봇 플랫폼을 지원할 계획을 발표했습니다. 이 기술은 2025년 3월 18일부터 21일까지 샌호세에서 열리는 NVIDIA GTC에서 시연될 예정이며, 심혈관 연구 및 치료 계획의 혁신 가능성을 보여줄 것입니다.
Ansys (NASDAQ: ANSS) et NVIDIA ont dévoilé un cadre technologique révolutionnaire qui combine l'intelligence artificielle, la simulation avancée et des capacités de visualisation. La collaboration introduit PyAnsys-Heart, une bibliothèque Python open-source permettant des simulations détaillées de modèles cardiaques dans le logiciel LS-DYNA.
Le cadre utilise des microservices NVIDIA NIM pour la génération de code speech-to-text basée sur l'IA et s'intègre avec NVIDIA Omniverse pour une visualisation photoréaliste. Une caractéristique clé est une interface chatbot qui permet aux cliniciens de générer des modèles cardiaques spécifiques aux patients, rendant les simulations complexes accessibles aux non-experts.
De plus, Ansys a annoncé des plans pour soutenir la plateforme de robotique AI NVIDIA's Isaac for Healthcare, en se concentrant sur des outils de simulation de physique et de physiologie à plusieurs échelles. La technologie sera démontrée lors de la NVIDIA GTC à San José, du 18 au 21 mars 2025, mettant en avant son potentiel pour révolutionner la recherche cardiovasculaire et la planification des traitements.
Ansys (NASDAQ: ANSS) und NVIDIA haben ein bahnbrechendes technisches Framework vorgestellt, das KI, fortschrittliche Simulation und Visualisierungsfähigkeiten kombiniert. Die Zusammenarbeit führt PyAnsys-Heart ein, eine Open-Source-Python-Bibliothek, die detaillierte Herzmodell-Simulationen in der Software LS-DYNA ermöglicht.
Das Framework nutzt NVIDIA NIM Mikrodienste zur KI-gestützten Sprach-zu-Text-Code-Generierung und integriert sich mit NVIDIA Omniverse für fotorealistische Visualisierungen. Ein zentrales Merkmal ist eine Chatbot-Schnittstelle, die es Klinikern ermöglicht, patientenspezifische Herzmodelle zu generieren, wodurch komplexe Simulationen auch für Nicht-Experten zugänglich werden.
Darüber hinaus kündigte Ansys Pläne an, die KI-Roboterplattform NVIDIA's Isaac for Healthcare zu unterstützen, mit einem Fokus auf Multi-Scale-Physik- und Physiologiesimulationswerkzeuge. Die Technologie wird bei der NVIDIA GTC in San Jose vom 18. bis 21. März 2025 präsentiert, um ihr Potenzial zur Revolutionierung der kardiovaskulären Forschung und der Behandlungsplanung zu demonstrieren.
- Development of new AI-powered simulation technology making complex analysis accessible to non-experts
- Strategic partnership with NVIDIA expanding into healthcare AI robotics
- Launch of open-source technology enabling customized workflows and broader collaboration
- None.
Insights
Ansys's partnership with NVIDIA represents a strategic technological advancement with implications for both healthcare innovation and Ansys's market positioning. The collaboration integrates Ansys's simulation expertise with NVIDIA's AI capabilities through several key technologies:
The newly introduced "PyAnsys-Heart" library enables detailed heart modeling in Ansys LS-Dyna software, while integration with NVIDIA NIM microservices facilitates AI-powered speech-to-text code generation. This combination creates a more accessible interface for clinicians to analyze cardiac anatomies without requiring deep simulation expertise.
What makes this development significant is its potential to democratize simulation technology beyond traditional engineering users into healthcare applications. For cardiovascular disease—the world's leading cause of death—this could enable more personalized treatment approaches and better preparation for complex cases, as noted by Dr. Francis Bessiere.
The announced support for NVIDIA's Isaac for Healthcare AI robotics platform further extends this partnership's scope beyond cardiovascular research into broader medical imaging and robotics applications.
For Ansys investors, this represents positive momentum in the company's strategy to expand its addressable market by making simulation more accessible to non-technical users while strengthening its relationship with NVIDIA, a leader in AI computing infrastructure. While immediate revenue impact isn't specified, the long-term strategic positioning in healthcare simulation appears promising.
The Ansys-NVIDIA collaboration tackles a critical problem in medical simulation—the expertise barrier that has historically adoption of advanced computational modeling in clinical settings. By combining Ansys's physics simulation capabilities with NVIDIA's AI and visualization technologies, they're creating a more intuitive interface that could significantly impact clinical decision-making.
The "PyAnsys-Heart" implementation demonstrates how this framework can transform cardiovascular care. Instead of requiring clinicians to master complex simulation software, they can now use natural language queries to generate patient-specific cardiac models. This represents a paradigm shift in accessibility for simulation technologies in healthcare.
From a clinical perspective, Dr. Bessiere's comments highlight the real-world value: the ability to identify and prepare for challenging cases before they become critical. This proactive approach to cardiac care could improve outcomes for complex patients who fall outside standard treatment protocols.
The planned integration with NVIDIA's Isaac for Healthcare platform suggests broader applications beyond cardiovascular modeling—potentially extending to surgical planning, medical device testing, and AI-assisted diagnostics.
While healthcare typically adopts new technologies cautiously due to regulatory considerations and clinical validation requirements, this collaboration addresses a fundamental accessibility challenge that has previous simulation efforts in medicine. By reducing the technical expertise required, Ansys could accelerate adoption in clinical settings and establish a strong position in the growing healthcare AI and simulation market.
Ansys and NVIDIA unveil vision for the future of cardiovascular research by democratizing simulation
/ Key Highlights
- Ansys and NVIDIA's open-source technology narrows the gap between simulation and reality by enabling customized workflows, fostering collaboration, and making simulation more accessible to non-experts
- A Python library, known as "PyAnsys-Heart" will enable partial and whole anatomical heart models in Ansys LS-Dyna® nonlinear dynamics multiphysics simulation software
- Using NVIDIA NIM™ microservices to build an AI-based speech-to-text code generator, Ansys empowers experts and non-experts to easily render photorealistic simulation results within OpenUSD-based applications with NVIDIA Omniverse
- Ansys is announcing plans to support NVIDIA's Isaac for Healthcare AI robotics platform by leveraging its high-fidelity, multi-modality, and multi-scale physics and physiology simulation tools and software to deliver applications and solutions
PyAnsys is a collection of open-source Python libraries that bridge Ansys tools and the Python scripting language, making it easier to run simulations, modify geometries, and process results automatically. NVIDIA NIM — a set of inference microservices for developers to easily deploy AI models — enables Ansys users to connect with large language models (LLMs), in this case via a chatbot. Prompting the chatbot with specific queries about the model triggers the LLM, trained with selected PyAnsys libraries, to auto-generate customized PyAnsys code. This ultimately enables high-fidelity simulation and visualization within applications built on NVIDIA Omniverse, allowing non-experts to forgo learning the underlying complex system of tools needed for simulation.
Customers across industries can harness the value of this technological framework. Simulation users can script existing models with Python and train an LLM for context-specific learning, empowering non-experts to obtain the same simulation insights more easily through a customized or chat-based user interface.
The demonstration at GTC showed how the framework can enable tailored treatments and outcome predictions for those with cardiovascular disease — the leading cause of death in the world. From within the "PyAnsys-Heart" library, a clinician can ask the chatbot, "What does my patient's heart look like?" "PyAnsys-Heart" will generate code for that specific patient's heart, enabling a partial or full anatomical model in LS-DYNA. The model can then be visualized in an application developed with Omniverse for visualization, unlocking insights that could have otherwise been inaccessible.
"As a surgeon we have plenty of expertise in dealing with the common cases," said Dr. Francis Bessiere, cardiac electrophysiologist at Louis-Pradel Cardiovascular and Pulmonary Hospital. "However, the exciting promise of combining computational technologies like simulation, visualization, and AI becomes clear when we can predict which cases will be challenging and prepare the health system to optimally care for the more complex patient cases."
This collaboration also sets the foundation for Ansys and NVIDIA to jointly leverage new tools and workflows for creating high-fidelity, multi-modality, multi-scale physics and physiological simulation for use with NVIDIA Isaac for Healthcare. Isaac for Healthcare is an AI robotics development platform that helps developers safely and efficiently design, test, and deploy advanced AI-driven robotic and autonomous systems specifically for healthcare settings and applications.
"Ansys is committed to helping its customers innovate, and that means enabling rapid testing and deeper insights to instill confidence in product performance," said Prith Banerjee, chief technology officer at Ansys. "It also means that simulation should be accessible by more than a few specialists within an organization. Ansys and NVIDIA recognize this, and our open ecosystem approach to digital engineering and product development sets the standard for collaboration, and as evidenced by our demonstration, has transformative potential for cardiac care and beyond."
"The collaboration with Ansys is foundational to accelerating the next generation of medical imaging and robotics," said Rev Lebaredian, vice president of Omniverse and simulation technology at NVIDIA. "The power of advanced GPU computing, physical AI, and simulation will shape the future of personalized healthcare."
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