The name of the base system (platform): | Artificial intelligence (AI, Artificial intelligence, AI) |
Developers: | SAS Institute Inc. (SAS Institute) |
Last Release Date: | 2018/11/19 |
Branches: | Pharmaceutics, medicine, health care |
Technology: | BI, Data Mining, SaaS - Software as service |
Main articles:
- Data mining Intelligent data analysis
- SaaS - History. Philosophy. Drivers of development
- Business Intelligence determination
SAS Life Science Analytics Framework is a cloud solution which allows researchers to manage information and to analyze it within a single platform and also to report results of researches to regulating authorities.
The product gives opportunities of analytics, visualization, artificial intelligence and machine learning to the organizations which work with constantly increasing number of data on health.
2020: SAS Life Science Analytics Framework 5.3
On November 26, 2020 the SAS company reported that it updated the solution SAS Life Science Analytics Framework intended for performing clinical trials. This tool helps to draw conclusions on the basis of data analysis that patients received as much as possible effective and safe schemes of treatment. Especially important this updating becomes for November, 2020, during COVID-19 pandemic when the medical and pharmaceutical organizations around the world implement technologies for quick search of methods of treatment and vaccines. Upgraded version of SAS Life Science Analytics Framework together with the solution SAS Heath was provided in November, 2020.
Clinical trials for November, 2020 are at a critical stage – it is required to develop as soon as possible vaccine from COVID-19 and also to make effective protocols of treatment, and then to pass to the decentralized virtual hybrid clinical trials. Therefore we continue to improve our portfolio of solutions for health care and we create the tools addressed as to the small biotechnology enterprises which only begin clinical developments, and to leaders of pharmaceutical industry. Mark Lambrekht, the director of global practice of SAS of analytics in health care and pharmaceutics told |
According to the company, SAS Life Science Analytics Framework is equipped a complex of the built-in analytical tools, supports different standards of data and can be integrated with other analytical applications. Upgraded version of SAS Life Science Analytics Framework 5.3 is aimed at acceleration of researches and upgrade of clinical trials in full accordance with regulatory requirements.
The updated functionality assumes:
- The seamless integration open source assuming a possibility of programming on SAS, R or Python.
- Inclusion of metadata of a research and expansion of standards of data for simpler and accurate determination of parts of a research.
- Automation of process for tables, lists and drawings which simplifies drawing up clinical reports.
- Adding of two-factor authentication for increase in data security.
The pharmaceutical companies use solutions of SAS for clinical trials worldwide. The Swiss biopharmaceutical company Ferring selected SAS as the long-term strategic partner. SAS helps to create Ferring the personalized solutions in the field of health care and to optimize package offers for clients therefore Ferring can offer pharmaceutical products in a complex with instruments of diagnostics, data, devices and also training and service support.
The cloud solution of SAS Life Science Analytics Framework meets all regulatory requirements and helps the international virtual teams of Ferring and also to the staff of the organizations for performing clinical trials to get access to clinical data and to constantly optimize workflow. Byarke Klein, the vice president for global biometrics of Ferring Pharmaceuticals told |
In the nearest future SAS will release also addition to the medical SAS Health platform – Cohort Builder. It will help to build during clinical trials a complete profile of patients on the basis of data from separate sources – electronic medical records, account registers, reports, etc. Using Cohort Builder specialists will be able quickly to find data on patients from these or those groups of the population to conduct researches on certain criteria.
2018: Development environment of programs of SAS. Base for management of standards of CDISC
On November 19, 2018 the SAS company presented solutions of the next generation for data analysis of clinical trials: SAS Life Science Analytics Framework and SAS Real World Evidence. The updated solutions estimate medicines better, investigate data on patients and efficiency of treatment and will help to provide quicker to the market safe methods of treatment, declared in SAS.
After updating SAS Life Science Analytics Framework offers:
- The configured hierarchy of a clinical repository — is provided by secure access to information and interaction between different organizational functions.
- The development environment of programs of SAS — will be accelerated by obtaining reliable statistical results, reducing time to market of new methods of treatment.
- Base for management of standards of CDISC and the improved management of research metadata — increase efficiency from start of a research to representation.
The companies can use the solution for acceleration of development of new methods of treatment. SAS Life Science Analytics Framework provides the uniform, centralized and audited storage of clinical data for the multi-profile research group located in the different countries of Asia, Europe and North America.
SAS — the supplier proposing complete solutions both for clinical development, and for data analysis, received on treatment time, including data management and observance of regulatory requirements — Mark Lambrekht, the director of global practice of health care and pharmaceutics of SAS said. — Thanks to these updated solutions we rely on our industry experience to give ampler opportunities for management, the analysis and visualization of different data types about patients. |
In more detail about the solution SAS Real World Evidence it is possible to read here.