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Delivering Data Driven Value

Resource Tag: Delivering Data Driven Value

MORD: A Self-Supervised Masked Graph Autoencoder

Leveraging Multiomic and Multi-Relational Gene Networks for Druggable Gene Discovery

Pistoia Alliance London 2025 conference poster by Queen Mary University of London

Identifying druggable genes is a critical step in drug discovery, enabling the development of targeted
therapies for complex diseases such as cancer. Traditional approaches often rely on single data sources
or predefined biological pathways, limiting their ability to capture the full spectrum of gene interactions
relevant to druggability. Advances in network-based machine learning offer a promising alternative by
integrating diverse biological signals to uncover novel therapeutic targets.

IDMP Ontology March 2025 Poster

IDMP is a set of ISO standards for the Identification of Medicinal Products to ensure consistent identification and exchange of medicinal product information. However, there’s a risk that varying implementations across companies and regions could reduce its effectiveness. This project unites the industry to develop a common ontology for standardized implementation.

Gaining Insights from Complex Data

Evaluating Query Generation Strategies for Knowledge Graphs Using LLMs

2025 Pistoia Alliance London conference presentation, Dan Rozelle, VP of Data Analytics, Rancho Biosciences

Revealing Knowledge: Leveraging IDMP Ontology for Data Integration

Real world pharma use cases of Boehringer Ingelheim

At Boehringer Ingelheim, knowledge is distributed in heterogeneous data sources e.g., PDF documents, structured databases or Excel files. To overcome this state of data scattered across multiple silos, achieving a single source of truth, which enables Boehringer Ingelheim to answer complex, specific questions, is game-changing, time-saving and valuable for our business.

FAIR Maturity Matrix March 2025 Poster

The FAIR Maturity Matrix (FAIRMM) is a descriptive (self-)assessment instrument for Leadership and Communities of FAIR data practitioners evolving in the life-sciences. It provides a frame for actionable conversations, aligning stakeholders towards shared FAIR implementation goals.

FAIR-for-Pharma March 2025 Poster

To create value and guide strategic decision-making in lifescience organisations, data needs to be Findable, Accessible, Interoperable and Reusable (FAIR) both by humans and machines. The Pistoia Alliance FAIR –for-Pharma Community of Experts to enables the implementation of FAIR data principles in the life sciences. We have two working groups: FAIR for Business and FAIR Good practices & Thought Leadership.

Pharma General Ontology: Use cases

This document is a deliverable of the Pharma General Ontology (PGO) project. Its purpose is to
provide examples of high-level use cases for Pharma General Ontology project outputs. Namely:
who are the stakeholders, or personas, that are expected to use PGO? Which challenges does
PGO address? What are the benefits? Contents of this document may be used by project
members to disseminate use case scenarios foreseen for PGO, for example at conferences

IDMP Ontology Community of Interest Meeting February 2025

February IDMP Ontology webinar meeting where we discuss important achievements of our IDMP-O project such as accomplishments of IDMP-O in 2024, Demo of the EMA PMS Data Alignment Proof of Concept and updates on the CMC Batch Tracking, Site and Product Data Proof of Concept, and outlook for 2025.