Simon Meffan-Main, Ph. D. , Vice President, Tetra Partner Network, TetraScience, the scientific data cloud company.
The Covid-19 pandemic has been the biggest fitness crisis of our time. However, it has proven once and for all that a transformation of the life sciences to drive new treatments is not only imaginable but essential.
Covid-19 is the classic example of a “black swan” event: anything infrequent and unpredictable that takes us by surprise and radically changes the prestige quo. For biopharmaceutical companies, this meant abandoning “the way we have” to account for new execution tactics that would otherwise have been slow to adopt.
Prior to this black swan event, vaccine progression took at least seven years. However, once the industry pinned its sights on Covid-19 vaccines, it developed two incredibly effective vaccines in less than a year. This speed can be attributed to the adoption of technology advancements, adding synthetic intelligence (AI), device learning (ML), automation, and cloud computing.
Let’s explore how the industry has brought us effective covid-19 vaccines in record time and how those effects can be repeated with drugs and therapeutics.
Early adopters of digitalization and collaboration have won the pandemic
Companies that thrived during the pandemic had already invested in automation, mRNA-based platform technologies used in vaccine development, and a virtual mindset, allowing them to drive the remedy’s results. For example, Amazon notes that Moderna “completed[d] the series of its Covid-19 mRNA vaccines in just two days” employing ML and launched its first clinical batch just 25 days later.
Digitization has also enabled scientists from various corporations to aggregate, collaborate, and analyze clinical data data, resulting in unprecedented results. Working as a single clinical community, vaccine developers shared the SARS-CoV-2 series at lightning speed to locate the most productive delivery. vector. Pharmaceutical giant Pfizer has partnered with an unknown company (BioNTech) to push vaccine development. All the big names in COVID-19 vaccines (Pfizer, BioNTech, Moderna, and AstraZeneca) have collaborated with educational think tanks to advance progress.
Cloud generation has also made 24/7 lab operations possible. American scientists can simply pass data to a team in India, which can then pass it on to another team in France and then to the United States. Brands were required to temporarily collect and submit in-depth knowledge from clinical trials and detailed analyses, protective data and functionality for pre-market approval and approval.
To be clear, early adoption through vaccine developers of virtual backbone networks and next-generation computing is the only way they can meet those accelerated timelines. If Moderna and others hadn’t embraced digitalization until 2019, our ability to respond to the pandemic has taken a very different trajectory.
Post-pandemic Opportunity in Life Sciences: A Data-Driven Revolution
The immediate progression of a Covid-19 vaccine has led us to a new clinical knowledge management box, and there is no turning back. If upgrading legacy IT systems or attempting to expand an in-house enterprise clinical knowledge solution seemed feasible features before, they are no longer viable.
Where do we go from here? For the first time in history, a data-driven revolution offers enormous opportunities:
• Faster science through automating knowledge flows and harmonizing disparate knowledge formats across hundreds, if not thousands, of lab tools and software sources.
• Safer science through the elimination of error-prone manual transcription practices (yes, some of the world’s scientists still write things into notebooks or cut and paste into spreadsheets) and algorithms that show where the threat lies before it even happens.
• Collaborative science where knowledge flows freely and is available through tools and applications, eliminating silos that stifle clinical advances and slow innovation.
• Better labeling of scientific meta-knowledge that infuses knowledge with context and prepares it for AI/ML analysis.
Start the cloud-based knowledge journey
After the pandemic, we found that 74% of biopharmaceutical companies are moving to the cloud and expecting their suppliers to fit their needs. There are key actions that each and every company deserves to help in their journey to the cloud. Accessible, actionable, compatible and liquid knowledge: the prerequisites for accelerating drug delivery.
• Cultura. De many other people working in life sciences today began their careers before the cloud was ubiquitous. As corporations adopt a cloud knowledge strategy, communication is key. It’s critical to make the entire organization aware of the enormous benefits the cloud can bring and how simple it can make search easier.
• Strategy: Too often, companies move to the cloud without having a proper plan. Take a hard look at your existing infrastructure and business goals. What workflows would you like to see and which vendors would you like to integrate with to reach your ideal state?Will your solution be able to evolve? Consider recruiting experts who have effectively reshaped businesses similar to yours to advise them on your roadmap.
• Seguridad. La scientific information is a major asset and its coverage should be the most sensible priority. When opting for your cloud partner, make sure you know where they will store the information and verify that you have end-to-end encryption. Consider your knowledge migration procedure and your security policies and procedures. Finally, its compliance with the specific safety standards of the life sciences. Many cloud providers do not offer answers specially designed for clinical knowledge.
The essential
The pandemic has had permanent and transformative effects on the life sciences industry, but with major adjustments also come wonderful opportunities. Modern knowledge methods created with cloud-built technologies can help life sciences from progression to delivery. By embracing large-scale virtual transformation in the cloud, life sciences can turn the COVID-19 black swan into a catalyst for a more wonderful and resilient healthcare ecosystem.
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