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Journal Article
The Ontology Alignment Evaluation Initiative (OAEI) 2019 compared ontology matching systems across 11 tracks and 29 test cases of varying complexity and evaluation methods, with participation from 20 teams.
Companion diagnostics (CDx), increasingly developed using next-generation sequencing, are vital to precision medicine but require collaboration across biopharma sectors, with this paper outlining key challenges and opportunities from various industry and regulatory perspectives.
In this review, we provide a summary of recent progress in ontology mapping (OM) at a crucial time when biomedical research is under a deluge of an increasing amount and variety of data.
This article explores how digital technologies like AI, data analytics, and machine learning are set to transform life sciences and healthcare by 2030, improving drug development and personalised care, while also highlighting key challenges.
Robert Roe discusses the role of Pistoia Alliance in creating the LOTF with Nick Lynch
This paper reviews collaborative safety initiatives in science, highlights ongoing challenges in sharing safety information, and proposes that the ACS can play a key role in fostering a strong safety culture through data sharing and collaboration.
Implementing the FAIR data principles is crucial for enabling AI-driven innovation and improving productivity in biopharmaceutical R&D, though it requires significant cultural, technical, and organizational change.
This article discusses the Pistoia Alliance's efforts to enhance laboratory safety through the development of the Chemical Safety Library (CSL).
The OAEI 2018 report presents a comprehensive evaluation of ontology matching systems across 12 diverse tracks, providing standardized benchmarks to assess and improve alignment performance using platforms like SEALS and HOBBIT.
The Pistoia Alliance's Chemical Safety Library (CSL) project promotes lab safety by encouraging the community-wide sharing of unexpected incident data to support collective learning and prevent future accidents.
The biopharmaceutical industry must access, manage, and analyze Real-World Data (RWD) to generate Real-World Evidence (RWE), but does each company need to build their own in-house capability? Precompetitive collaboration should lead to better, morecost-effective solutions.
HELM version 2.0, developed by the Pistoia Alliance, is a specialized molecular line notation for representing biopolymers, supported by an expanding ecosystem of tools and a new open-source monomer database that simplifies complex molecular structure management.
