Advanced computing

The R&D division of one of our clients, a leading player in the pharmaceutical industry, wanted to identify potential partners in the in-silico field, meaning offering complex calculation tools and computer models.

In order to support our client in achieving this objective, our teams have mapped out in-silico players, offering pharmaceutical applications. Through an exhaustive bibliographic search and in-depth interviews with several opinion leaders in the sector, our teams were able to identify the main trends in the sector, the most promising applications and approaches, as well as obtain a precise vision of the main players active on the subject. The market dynamics of the next 3 years were also studied, as well as the different technologies meeting our client’s criteria.

Finally, the players in the sector identified were described on the basis of the technologies and offers proposed, the quality of their proofs of concept, their applications, their business models and their already existing partnerships.

Our team supported a leading pharmaceutical player in analyzing the opportunities offered by the use of artificial intelligence solutions in its R&D processes. The objective of our teams was to make our client’s teams aware of the latest developments in the academic world and competing pharmaceutical companies in the field.

To do so, we carried out a state of the art of AI in R&D in the world, presenting the field of possibilities illustrated by concrete cases of competitors. Following this initial work, we supported our client in the integration of artificial intelligence technologies int its R&D activities, and helped it launch first internal pilot projects.

The translational and bioinformatics R&D team of one of our clients, a top 10 pharmaceutical player, conducts advanced analyses on the integration and interpretation of very large multivariate data sets from different technological platforms (e.g. immunohistological, genomic and genetic, clinical, cytometry etc.).

Faced with the increase in their activity and the need to maintain very high quality standards and to resolve the limitations of certain internal developments, our client called on our team to explore and qualify the existence of partner companies to which they could delegate part of their data pipeline to analyze. The needs concerned Advanced Analytics approaches in 3 specific areas (NGS, multiple genomic annotation, Cloud Computing Biostatistical Analysis Framework) and with high technical constraints of environment and collaboration, human skills and business stability.

After defining very precisely the constraints and the latitude zones, we carried out two stages of screening and profiling of candidate companies, before carrying out directly with them and their ecosystems an in-depth analysis in order to define the most relevant partnerships, their advantages and disadvantages. Finally, we supported our client in the convergence towards a final selection of partners to be engaged during a workshop. Not only were these partnerships materialized, but our client asked us to reproduce a similar approach in other areas of Advanced Computing skills!

We supported a start-up from a large Research Institute in Computer Science and Artificial Intelligence, to define its priority application markets and its development strategy in the healthcare industries.

This company had developed an innovative neural network technology and a calculation preparation methodology allowing a very significant increase in processing power (computing) as well as an intelligent parallelization of the analyzes. It was initially positioned in the fields of Physics and sought to open a new development path towards Health.

We helped them first identify and segment, in the Healthcare industries, the applications relevant to their approach. Then, through a field investigation and a multi-criteria analysis, we selected priority areas.

Finally, we helped them, in the fields of application selected, understand the profiles of the companies and functions to be approached as well as define for each field the value proposition that would echo the concrete needs identified with them.

In response to our client’s, a top pharmaceutical player, interest in leveraging artificial intelligence (AI) for their drug discovery, Alcimed performed a comprehensive mapping project to identify and characterize the players in the field.

Our strategic exercise focused on the landscape of AI solutions specifically tailored to protein design. Through a comprehensive landscape mapping, we identified companies with expertise in leveraging AI and machine learning for tasks such as predicting protein structures, performing in silico screening, and designing antibodies.

The exploration of the AI landscape helped us to identify potential opportunities and solutions for our client´s drug discovery program. Our approach ensured that our client remained at the forefront of drug discovery innovation and was prepared for future success.

Alcimed worked with a pharma player to develop their artificial intelligence (AI) and machine learning (ML) strategy for their research and development (R&D) activities.

Our approach involved improving internal data and prioritizing use cases for AI/ML applications to create a comprehensive roadmap that aligns with our client’s ambitions. We then identified potential partners to support our client on selected use cases to execute their roadmap.

This collaborative effort helped clarify our client’s AI goals and provided a structured pathway for implementation. Through strategic planning and partner identification, our client is now well-positioned to leverage AI/ML technologies, enhance their R&D capabilities, and drive innovation.