The digital lab manager: Automating research support.

Laboratory management automation is essential for achieving interoperability in the domain of experimental research and accelerating scientific discovery. The integration of resources and the sharing of knowledge across organisations enable scientific discoveries to be accelerated by increasing the productivity of laboratories, optimising funding efficiency, and addressing emerging global challenges. This paper presents a novel framework for digitalising and automating the administration of research laboratories through The World Avatar, an all-encompassing dynamic knowledge graph.

Leveraging Text-to-Text Pretrained Language Models for Question Answering in Chemistry.

In this study, we present a question answering (QA) system for chemistry, named Marie, with the use of a text-to-text pretrained language model to attain accurate data retrieval. The underlying data store is "The World Avatar" (TWA), a general world model consisting of a knowledge graph that evolves over time. TWA includes information about chemical species such as their chemical and physical properties, applications, and chemical classifications.

Chemical Species Ontology for Data Integration and Knowledge Discovery.

Web ontologies are important tools in modern scientific research because they provide a standardized way to represent and manage web-scale amounts of complex data. In chemistry, a semantic database for chemical species is indispensable for its ability to interrelate and infer relationships, enabling a more precise analysis and prediction of chemical behavior. This paper presents OntoSpecies, a web ontology designed to represent chemical species and their properties.

OntoPESScan: An Ontology for Potential Energy Surface Scans.

In this work, a new OntoPESScan ontology is developed for the semantic representation of one-dimensional potential energy surface (PES) scans, a central concept in computational chemistry. This ontology is developed in line with knowledge graph principles and The World Avatar (TWA) project. OntoPESScan is linked to other ontologies for chemistry in TWA, including OntoSpecies, which helps uniquely identify species along the PES and access their properties, and OntoCompChem, which allows the association of potential energy surfaces with quantum chemical calculations and the concepts used to derive them.

Adamantiades-Behçet disease: from clinical heterogeneity to diagnosis during the COVID-19 pandemic.

Adamantiades-Behçet disease (ABD) is a systemic disease with vasculitis, characterized by recurrent oral aphthosis and ocular, cutaneous, articular, vascular, cardiopulmonary manifestations and it is mainly found in the territories of the antique "silk road". ABD pathogenesis remains unknown although genetic, infectious and environmental factors seem to be implicated in the development of the disease, which is considered an auto-inflammatory condition. COVID-19 infection can present some symptoms, in particular at the level of oral and pulmonary mucosa, which require a differential diagnosis with ABD.