Elias Altrabsheh

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D-fine
Model Developer
Elias Altrabsheh started his career as a model developer working on health economics models in multiple therapeutic areas such as diabetes and infectious diseases. Since then, he has evaluated digital health therapeutic and technical projects concerned with developing ML/analytics/software
as a service platforms in the health care space. Currently, at d-fine as Consultant, Elias applies his technical expertise to projects involving modeling and software development and is active within the pharmaceutical/health care community. Elias obtained an MSc in complex systems modeling at King’s College London.

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Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning (ML) algorithms demonstrating advances in performance in a wide range of tasks. However, this comes with an ever-increasing complexity of the algorithms used, rendering such systems more difficult to explain.1

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Figure 3: Overview of AI application fields in the pharmaceutical production process and value chain.
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Artificial intelligence (AI) has the potential to benefit the pharmaceutical industry and its GxP-regulated areas. Several pharmaceutical companies are currently running digital pilots; 90% of large pharmaceutical companies have initiated AI projects.1

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