Alan Advantage applies a holistic method, for AI adoption. The principle is based on the fact that AI adoption is not only technical process, but also cultural process. In this process there are different components of technology and data level, and also ethical, strategic, human and economic level. Without this process, innovation risks not being sustainable.

Currently, the pharmaceutical industry requires a greater focus on data aggregation and sharing. This is precisely where the Alan Advantage network has a chance to stand out.

Just a couple of examples:

• As datasets become bigger, and data itself becomes more interconnected, humans will be challenged to understand and retrace how an AI algorithm came up with the result. Explainable AI (xAI) centers around humans and human perception. This is in keeping with Alan Advantages RE:HUMANISM. RE:HUMANISM focuses on AI research for the relationship between human and scientific advances, and xAI the human can accept the results created by AI algorithms. Frontiere furthermore elevates AI driven innovation.
• Federated learning, driven by the advances in the Internet of Things, stimulates data sharing collaborations across sites without compromising patient privacy data legislation, governed by e.g. GDPR and HIPAA. Federated learning promotes access to maximal data, while lowering institutional burdens of data sharing. In cases where there is a lack of sufficient data for an AI analysis at a single site, federated learning can outperform locally trained AI models. A variety of Federated Learning applications and configurations, can unify large datasets in healthcare.
• With our colleagues at myBiros, we can address the problem of data trapped in paper or pdfs. If the data is trapped, it can neither be aggregated nor shared. myBiros applies a form of AI, called NLP, to extract and structure data and then prepare it for analysis.
• Robotic process automation in pharmaceutical industry can significantly reduce the piles of paperwork, generated by prescriptions, contract details, CRFs, expenses, and inventory management. Data entry process automation is meant to ensure full legal compliance across all activities including inventory control, clinical trial information and manufacturing. Automyo has a no-code RPA platform that gives everyone the power to automate and streamline their processes by creating digital workflows between various business applications.
• Pharma companies also look for data in the real world, the “real world.” KPI6 listens to social media in real time. Thus it can find temporal or geographic information of conversations about a drug. This data enriches the data that pharma already has.
• Sensoworks specializes in connecting and monitoring sensors remotely. They have developed connected sensor for use as wearables, with the benefit of epidemiological monitoring. Using a sensor in a patch, it is possible to monitor the infection of Dengue and Malaria in real time, and to send this data to the patient’s smartphone.