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Delve into a data-powered platform to achieve precision medicine at scale
Standard healthcare treatments are designed for the average patient but health is inherently individual. Successful therapies for some patients do not always work for others and for better patient outcomes, the ‘one size fits all’ approach is no longer good enough. With patient demand for precision medicine and healthcare on the rise globally, and the emergence and maturation of new technologies in precision medicine and life sciences, companies are now at a tipping point to tap into the individual uniqueness of a patient’s genetic makeup, behavior, culture, lifestyle and environment to improve the patient experience and outcome.
Improving healthcare requires a deeper understanding of the human body and an integrated digital platform is crucial for companies to fully utilize data and advanced digital tools to deliver targeted disease prevention, diagnosis and treatment strategies that meet this new standard and enable precision medicine at scale.
An integrated platform with science-based capabilities such as virtual twin technology can help companies utilize data to optimize treatment efficiency and improve outcomes while cutting costs.
Download this ebook to discover how to innovate faster, smarter and more sustainably to deliver personalized, patient-centric and outcome-driven solutions by:
According to a Deloitte report, data is the new currency of life sciences and healthcare innovation. The ability to capture extensive data about an individual patient, contextualize the data and deliver it to an entire care team is crucial for precision medicine success.
Exploiting new tools to extract meaning from large volumes of information will drive real change in clinical practice and biomanufacturing. Data science can help companies:
Avoid pitfalls from conception to market
Deliver more ‘right first time' results at a lower cost
Produce highly customized, products and services
Maintain economy of scale and time-to-market
Guided by real-time insights, healthcare providers can make the right decisions from end to end. With an optimized data-backed quality management capability, companies can quickly identify and correct non-conformance issues, continuously improving processes and products to meet efficacy targets and quality benchmarks. For example, in silico trials transform large volumes of data at scale to improve success probabilities in innovative trial designs.
Continuous monitoring and data intelligence will enable us to contextualize healthcare decisions and tailor-make patient treatments that capture the uniqueness of each patient and track the subtleties of chronic conditions.
Healthcare providers can utilize advanced digital platform technologies to make the pursuit of precision medicine possible, practical, faster and more cost-effective. These technologies include:
As a complete dynamic “living” model of the human body and its constituent systems, the virtual twin enables new understanding and approaches to health diagnosis, prognosis, treatments and anticipation of future conditions. In pharmaceutical operations, a virtual twin helps healthcare providers quickly identify potential therapy candidates. For example, genetic engineering provides the basis for novel cell and gene therapy by identifying tumor genetic mutations.
Predictive analytics can be leveraged to find factors and risks associated with a therapeutic intervention or predict which patient would respond best to a treatment. This reduces the time needed to develop and optimize the processes and hardware to manufacture highly-customized novel therapies for smaller patient populations.
With a modular, predictive and digitalized approach, companies can improve outcomes in personalized prosthetics. Advances in realistic simulation and virtual modeling of the human limb are expediting key attributes of form, fit and comfort to be incorporated in fabricated prototypes.
By leveraging virtual 3D universes to simulate, optimize and rework processes before applying them in the real world, let’s see how these digital platform technologies can help companies deliver personalized medicine and healthcare to patients.
As companies transition towards small batch production to produce precision medicines and novel therapies, they need to effect end-to-end optimizations to produce them more efficiently and sustainably.
Dassault Systèmes’ 3DEXPERIENCE® platform is the scientific and business platform to support the industrialization of personalized healthcare from start to end. The platform digitally connects the patient and healthcare ecosystem, to align the value network, enabling quicker and better decision-making. It also provides fast and easy access to information from multiple sources for knowledge capitalization.
Through the platform, companies can leverage advanced engineering approaches such as requirements-based systems engineering as well collaboration and configuration management to more rapidly utilize biology and materials innovation for products and processes.
“Evolving healthcare introduces complexity in processes. Scientific breakthroughs and affordability will be instrumental in the wider use of precision medicine. To remain competitive, companies must shift to new approaches that are customizable, highly flexible and resource-efficient,” said Claire Biot, Life Sciences and Healthcare Industry Vice President at Dassault Systèmes.
"We will see a wave of mainstream personalized medicine in the next 10 to 20 years. The 3DEXPERIENCE platform – with virtual twin technology at its core – provides companies with the agility and modularity to get there faster and be future-ready," she added.