Unlocking AI Excellence: BI4ALL’s Commitment to Pharma & Healthcare

Technological innovations have already led to significant changes in the pharmaceutical industry. According to new expert analyses, the potential of artificial intelligence (AI) will expand even further in the next ten years, bringing countless opportunities. The demand for support is increasing, and the pharmaceutical industry is no exception. With extensive experience in this sector, BI4ALL advises various clients in different ways – also in Switzerland.

Switzerland, 26th. September 2023
Due to the ever-increasing proliferation of technological innovations in the pharmaceutical industry, the proper use of Data Analytics and Artificial Intelligence (AI) solutions is also playing an increasingly important role. Data Analytics and Artificial intelligence are driving significant change across healthcare and offer unprecedented potential to improve outcomes for patients and healthcare professionals, with the ability to analyse vast amounts of patient data, identify patterns and trends, and help with diagnosis while providing personalised treatment recommendations. To harness all this new information and insight, Data Analytics and AI solutions promise to shape the sector´s future by bringing optimization, efficiency and agility.

AI as a support for the development of medicines

Drug development is an expensive and time-consuming process, and this is a problem for the pharmaceutical industry. Traditional drug discovery often takes years and billions of dollars to market new, effective, safe drugs. AI has the potential to revolutionize this process from the generation of novel molecules to ensuring timely, cost-effective trials. AI can be useful in the following four phases:

  • Generative AI can be used on very large datasets to train models and generate new – and optimized – molecules to target the right protein. Key techniques, such as Generative Adversarial Networks, Variational Autoencoders or Reinforced Learning, are used to 1) generate molecular structures with the designed properties, 2)optimize molecular efficacy and safety and 3) predict biological activity, thus reducing the need for extensive experimental testing.
  • Acceleration of clinical trials: In clinical trials, the selection of suitable candidates (and their follow-up through the whole program)can influence the duration and success of the program. AI can help identify patterns to distinguish good candidates and control their attrition during several phases, ensuring the proper distribution and follow-through of the groups of trial participants.

A new COVID-19 treatment has recently moved to Phase I clinical trials – an AI-designed oral drug. Generative AI was used to generate new molecules that would attach a target protein within the coronavirus, with ISM3312 proving to be the “hit molecule” with effective results.

Source: https://www.clinicaltrialsarena.com/news/insilico-medicine-trials-covid-19/?cf-view

AI applied to emotional data

Properly applied, AI is exceptionally good at identifying patterns and behaviours. Using a model developed by BI4ALL, it was possible to identify the emotionality of reviews and comments on social media about a customer’s specific products, as well as trend in the expressions used in the comments. This, in turn, led to the customer being able to respond proactively in an early stage For example, thanks to the available data and its targeted evaluation, a customer discovered a possible new allergy and was able to counteract it at an early stage.

AI supports the omnichannel overview

For the pharmaceutical industry, it is relevant to know how and when to address health personnel and hospitals to inform about developments in research and new products. During the Corona pandemic, it was not so easy to reach the contact persons promptly and efficiently. For this reason, a so-called omnichannel overview was created for a customer. Based on this AI-based overview, the customer received personalised recommendations on when and how to optimally contact the target persons, by indicating preferred contact timings and methods and pointing out the next best action. This, in turn, improved customer loyalty and increased sales-force effectiveness.

“AI solutions are becoming critical in the transformation of the value chain in the healthcare industry, from the acceleration of drug research and optimization of clinical trials to the enhancement of the relationship with the patient in the treatment and post-treatment phase. More than ever, healthcare companies, professionals and patients have AI as their greatest companion, extending the reach of the formers (and contributing to focusing the scarce human resources in the right value paths) and improving the quality of life of the latter (through personalized treatments and specialized tracking companions). More than a trend, AI is an inevitability in healthcare..”, André Santana, Business Development Lead at BI4ALL.

“For 19 years, we have been working with companies in the pharmaceutical and healthcare sector to offer them the most innovative technologies and the best tools on the market. Data Analytics and AI solutions have a significant impact on organizations in the sector, from the development of personalized medicines to the optimization of clinical trials, there is a wide world of opportunities that guarantee efficiency, precision and transparency.”, José Oliveira, CEO and Chairman, BI4ALL

Leave a Reply

Your email address will not be published. Required fields are marked *

Let's talk

If you want to get a free consultation without any obligations, fill in the form below and we'll get in touch with you.