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SHARP publication in The Lancet Respiratory Medicine

A new study from SHARP (Severe Heterogeneous Asthma Research collaboration, Patient-centred) has been published in The Lancet Respiratory Medicine, providing new insights into severe asthma and remission prospects across Europe. The research…
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BIOMERIS in discussion with AISIS on digital health, data and research

BIOMERIS was invited as a speaker by AISIS – the Italian Association of Health Information Systems to take part in two important moments of discussion focused on digital innovation in healthcare and the strategic role of data in supporting…
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Detecting negations from clinical reports using AI

Negations detection is a critical step in extracting clinical information from unstructured text, such as medical reports and clinical notes. Distinguishing between the presence and absence of an infection can completely change the clinical…
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EHDEN Megastudy – Characterisation of medicines with suggested drug shortages

  Shortages of essential medicines are becoming an increasingly tangible challenge for European healthcare systems, with direct effects on patient safety and continuity of care. As part of the EHDEN, a European project established…
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DARWIN EU Update

DARWIN EU is a federated network of data, expertise and services, created to support better decision-making throughout the product life cycle by generating reliable evidence from Real World Data (RWD). It is a project initiated in 2022, funded…

New Data Protection Rules in Medical Research

On March 2, 2024, significant changes were made to Article 110 of the Privacy Code regarding the management of health data in medical research. In cases where patient consent cannot be obtained due to complex ethical or organizational situations,…
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Real World Evidence

As the name itself suggests, the definition “real world evidence” (RWE) indicates scientific evidence derived from the real world, i.e. the output of analysis of data coming from a patient’s daily life (“real world data”, RWD). RWD…
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Introduction to the FAIR principles

The FAIR (Findable, Accessible, Interoperable, and Reusable) principles,represent a fundamental guiding framework for the management of scientific data in the digital age. These principles, created in 2016 as a result of a collaborative effort…
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The OHDSI Italy node: a reference and meeting point for observational research.

In Italy, as in Europe, there has been a growing interest in the OHDSI program and the OMOP Common Data Model in recent years. Starting from June 2022, under the guidance of Professor Lucia Sacchi from the University of Pavia, the Italian…
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BIOMERIS achieves ISO 27001 Certification for consulting services regarding IT OMOP/OHDSI solutions.

We are pleased to announce that BIOMERIS reached a significant new milestone in its commitment to data excellence and security. Today, October 11, 2023, it is officially ISO 27001 certified, confirming its commitment to the secure implementation…