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制药和生物制药 

计算机仿真药物制造和输送

制药和生物制药行业领导者正在利用计算机仿真的力量来解决开发药物制造、扩大生产规模和药物输送流程所需的不可持续成本和时间问题。 

Digitally Transforming Drug Manufacturing and Delivery

The drug manufacturing process - from discovery to mass production - is a lengthy and costly endeavor. Ansys, part of Synopsys, provides the in silico technologies, such as computational modeling and simulation (CM&S), artificial intelligence (AI), and digital twins, to optimize and speed up the process safely. Validated, multiphysics models of manufacturing processes, drug-delivery mechanisms, and more ensure innovators create safe and effective pharmaceuticals.   

Lower Costs with Better, Safer Processes 

Pharma Simulation

Streamlined Scaling Processes 

Engineering simulation streamlines scale-up and optimizes upstream and downstream operations, reducing development time and operating costs.

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Homogeneous Mixing

Whether small or large molecules, fluids, or powders, mixing simulations model the process of blending one or more materials in mixing tanks or bioreactors. 

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In Silico Clinical Trials  

Applying validated computer models of medical devices to hundreds or thousands of virtual patients provides complementary evidence of product performance for a more robust regulatory approval submission. 

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Optimizing the Drug Manufacturing Process Through Digital Transformation

Applications

Simulation provides a transformative approach that minimizes development risks and expenses across various health applications. With virtual testing, manufacturers can identify design flaws early, reducing reliance on costly physical prototypes and extensive testing phases.

The Rise of In Silico Medicine

Below is a curated list of success stories and thought leadership from our colleagues, customers, and partners around the world using simulation to advance healthcare.  

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At the Forefront of Drug Innovation With Pfizer

Learn how Pfizer uses simulation to deliver medicines to people faster, such as by reducing clinical trial times, manufacturing, and time to market.

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Sartorius Finds That Simulation Is the Perfect Prescription

See how Sartorius, which supports drug discovery efforts of biopharmaceutical companies, relies on simulation to drive rapid, cost-effective product development.

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Simulation Helps GSK Bring Critical Medicines to Patients Faster

Learn how GSK optimized bioreactor scaling with Ansys fluid simulations and digital twins.

Accelerating drug development with casual AI and digital twins Ansys and Nova in silico partner for ISCT solution

Accelerating Drug Development with Causal AI & Digital Twins: Ansys and Nova In Silico Partner for ISCT Solution

Learn how Ansys simulation improves lyophilization by optimizing heat/mass transfer, sublimation, and equipment design for faster, more efficient pharma production.

医疗行业的变革就此开始:您准备好了吗?

计算机仿真医学有望从根本上重塑医疗行业,同时增加创新并降低成本。

个性化医疗

医疗行业的仿真可带来超过500%的投资回报。

获得良好的医疗服务应当是每个人的基本权利。然而,事实证明,确立和维护这项权利对一些经济体来说是一项重大的挑战。

为世界各地的不同人群提供高质量的医疗服务是一项极具挑战性的工作。医疗支出正在迅速增长,产品安全法规比以往任何时候都更加严格。随着世界人口的增长,开发合适的药物并使其易于获得将成为一项更加艰巨的任务。

传统模式下的药物开发和输送无法满足对快速原型制作不断增长的需求,同时不会给制造商带来不可持续的成本。通过进行快速原型制作以及快速、广泛的测试来满足监管要求,仿真有望大规模颠覆医疗行业。通过将生产和实际测试严格限制在必要的范围内,工程仿真使得在合理的预算下开发新药物成为可能,从而为世界提供安全、有用的药物,并为积极采取行动的公司带来丰厚回报。

全新的制药方法

为了加速向临床社区部署基于仿真的解决方案,领先的医疗设备和制药公司与监管及仿真行业合作开发了最佳实践,可以显著降低成本并缩短产品上市时间,同时最大限度地提高患者安全保障。

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咨询专家

与Ansys讨论我们如何实现药物制造和药物输送的数字化转型。

虚拟人体实验室

“虚拟人体实验室”有助于更快地了解生理模型。

创建和验证虚拟解剖模型或预测药物和制造设备的行为,使公司能够快速获得有关新产品或工艺的洞察。

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数字孪生将打造“个性化的数字头像”,以解锁个性化医疗的新途径。

未来需要由智能连接设备提供的个人数字孪生驱动的预测性和预防性医学。

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“仿真支持的监管审批”为数字证据打开了大门。

随着监管机构向数字证据敞开大门,创建具有足够可信度且经过验证和确认(V&V)的模型以解决监管机构的问题/疑虑至关重要。 

Ansys专业知识

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