Science is a game of time and patience won through trials where errors far outweigh success. Time is, of course, important in the fight against deadly illness. And we are adopting high tech, especially high tech platforms. Machine learning (ML) and artificial intelligence (AI) can help accelerate the breakthroughs in healthcare.
Pfizer and Moderna each report that vaccines have been developed that act as effective treatments for the coronavirus. Beyond the initial excitement (and hope) that accompanies companies, the high efficacy of vaccines in the latest trial rounds (about 95%)) How these vaccines were developed, and technology-driven for future drug development It has additional spillover effects from the impact.
As the Wall Street Journal points out, the development of Moderna and Pfizer shows that gene-based technology can pave the way for a series of new therapies aimed at tragedy such as cancer and heart disease. I will. From a scientific point of view, gene-based development In this case, messenger RNA (or mRNA) induces cells to produce proteins similar to those found in coronaviruses, and then sets up the body to generate an immune response. I will.
And in the development of mRNA, we see the adoption of platforms, especially vaccine platforms associated with gene sequencing, and the innovations associated with these platforms, which are characterized by scale and speed.
For example, Nature Reviews Drug Discovery has the following observations: In recent years, various mRNA vaccine platforms have been developed and validated in immunogenicity and efficacy studies. Engineering of RNA sequences has made synthetic mRNAs more translatable than ever. This means that the platform can enhance (or avoid) a classic drug development system that focuses on pathogen-specific approaches to developing immunity. As a result, promising drug candidates can be developed in weeks instead of years.
In a paper published by the Johns Hopkins Center for Health Security, the authors argue that the platform can use the same data to target multiple vaccines. The data is important.
As reported in Drug Development and Delivery: Platform technology is seen as a valuable tool for improving the efficiency and quality of drug development. The basic idea is that the platform is the most systematic way to leverage the prior knowledge of a particular new molecule in combination with a risk-based approach. In addition, such platforms enable continuous improvement by adding data for all new molecules developed by this approach, increasing the robustness of the platform.
Modana says that if the use of mRNA as a drug works for one disease, it should work for many. And if this is possible with the right approach and infrastructure, it can significantly improve the way medicines are discovered, developed and manufactured. Against this background, the company created the mRNA technology platform. It states that it works like a computer operating system with Plug and Play capabilities (mRNA is the software of life).
Of course, other companies are also building innovation platforms. In the summer, IBM debuted IBM RXN for Chemistry, which is billed as a free AI web service for predicting chemical reactions. There is also an open source pharmaceutical approach.
Platform beats Big Tech to Big Pharma
The technology-driven platform approach reflects other innovation areas, especially those of companies like Uber, as well as those found in open banking. Connections are an important type that can only be achieved with advanced technology.
Here, companies use data to scale and leverage the same information to build horizontal and ancillary products and services that serve new use cases.In one example, Uber is software, concrete. He said that it will branch to software as a service (SaaS).
The same platform enables the creation and service of various business lines such as vehicle dispatch services, food delivery and freight transportation. With open banking, you can seed your account data to create new services that reduce (technical) development time. As Karen Webster wrote in this space on Uber: For Uber, transportation is a core business platform feature, but not the ultimate game.
Similarly, in drug development, various innovators can use, access, and reuse genetic data. From data and software to needles and overcoming public health crises, water is a shorter leap than we would otherwise see.
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