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Partex and Singapore’s Experimental Drug Development Centre collaborate to bring forward an innovative approach for early drug discovery and development

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Frankfurt, Germany, 3rd June 2024, 9am CET Partex, a leading provider of AI-driven solutions in the pharmaceutical industry, is thrilled...
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Apr 24

Partex Partners with Lupin to Revolutionize Drug Discovery through AI-Driven Asset Search and Evaluation

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To unlock innovation, pharma needs to be honest about failure

Life Science / By

Many successful leaders agree that a company’s willingness to embrace and learn from failure can unlock innovation – and it’s a lesson the pharmaceutical industry would do well to learn.

Take Jeff Bezos, for example. As the CEO of Amazon, he encourages designing bold experiments that may lead to failure. After Amazon acquired Whole Foods, he explained: “If you’re going to take bold bets, they’re going to be experiments. And if they’re experiments, you don’t know ahead of time if they’re going to work.”

Netflix provides another notable example of this mindset. As of the first quarter of 2018, Netflix had 125 million subscribers with a revenue of over $11 billion. Yet, when Netflix CEO Reed Hastings spoke at a technology conference, he said: “Our hit ratio is too high right now. We have to take more risk,” implying that the company needs to take more chances and, hence, fail more.

But in pharma companies, a fear of failure too often kills creativity and prevents researchers from taking chances. Instead of regarding failure as the worst possible outcome, researchers need to give themselves permission to fail and to share their failures with others – as long as they are able to extract valuable lessons to learn from the experience.

The problem pharma industry faces: under-reporting of failed trials

The pharmaceutical industry is built on innovation, yet few researchers in pharma are publicly transparent about their failures. A 2010 study showed that registered drug trials sponsored by pharmaceutical companies are less likely to be published within two years of study completion and are more likely to report positive outcomes than trials sponsored by other sources. The study provides evidence that failures in pharma studies are underpublicised.

Pharma companies need to understand that learning from mistakes is very important for bringing innovative drugs to market. Studies such as 2016’s Learning from Successes and Failures in Pharmaceutical R&D in the Journal of Evolutionary Economics have provided models to demonstrate that both successes and failures are important for making R&D investment decisions.

The problem is that there are currently no incentives for researchers to publicise their failures. This can result in unnecessary duplicative work by researchers at other pharma companies. According to Dr Jodi Black, deputy director of the Office of Extramural Research, NIH: “If we don’t report our results we will repeat the same mistakes.”

The solution for pharma industry: transparency at every turn

To solve the problem of underreported failures, pharma companies must incentivise and integrate transparency throughout their own organisation and in their relations with others in their field. There are two key steps to take on this journey.

1. Pharma companies must build a culture of transparency

Pharma companies need to acknowledge that transparency is a high value, and then implement it into their organisational culture. Researchers within the company should feel very comfortable sharing failure with their peers – and even with their supervisors. Transparency prevents companies from making the same mistakes over and over again and also prevents the duplication of effort across multiple research teams.

Similarly, companies must be willing to share failures and the insights gleaned from them with other companies in the space. As a company in a highly competitive field, it can be vulnerable to publicise failure and can seem counterintuitive to share insights. But in an environment of transparency, the benefit is reciprocal: each company will benefit from the transparency of their peers even as they share their own insights. The result will be more innovation and better health outcomes for patients.

2. Policies must be aligned across pharma to make transparency easier

In 2007, a data-transparency law was passed in the US that requires researchers to register and publish results from their clinical trials. However, loopholes in the law allow researchers to under-report negative results. In 2016, the law was strengthened by requiring that researchers disclose the design and results of all clinical trials within the first 21 days of enrolling their first patient. But full transparency remains an issue as policies for sharing data are often inconsistent.

According to the 2017 Pharmaceutical Companies’ Policies on Access to Trial Data, Results, and Methods audit study, published in the British Medical Journal (BMJ), policies for sharing clinical trial results commonly lacked timelines for disclosure. In addition, smaller pharma companies fell short of transparency commitments. More work needs to be done in aligning policies across the board to prevent loopholes.

Transparency alone is not enough for Pharma Companies

Merely being transparent about failure is not sufficient. Pharma companies must get good at learning from failure as well. When exploring new grounds in research, they must find ways to integrate data from failed research with data from successful research to reveal useful new insights.

To use all research data to its full potential, scientists need to make sense of disparate data. Here’s where data aggregation comes in. Pharma companies need to become experts at searching, gathering, and interpreting data from successful trials and unsuccessful ones. Data aggregation is critical for finding meaningful relationships in disparate data and for discovering novel insights.

Researchers should learn to use powerful semantic discovery engines such as iPlexus, which uses AI and machine learning to aggregate data from multiple data sources in real-time. Using such technology, researchers can learn from failures based on events happening right now, or a week prior, or even years before, all on one platform.

Ultimately, by being transparent about failure, pharma companies can cut down on duplicative work and better collaborate on discovering innovative drugs faster and less expensively.

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