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AI-driven IP Intelligence Engine for Drug Discovery

Today, new drug development on average costs $2.6 billion and takes 10-14 years. But, for example, the global health emergency over the spread of the deadly new coronavirus, is proving to be a crucial real-life test case for indus... ver más

30/04/2024

SIA SEMANTIC INTEL...

75K€

Presupuesto del proyecto: 75K€

Líder del proyecto

SIA SEMANTIC INTELLIGENCE No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-04-30

HORIZON-EIE-2022-SCALEUP-02-02: Women TechEU ExpectedOutcome:Project results are expected to contribute to the following expected outcomes:

Innovación

Cerrada hace 2 años

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1 Participantes

SIA SEMANTIC INTELLIGENCE

75.00K€ | Lider

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Duración del proyecto: 10 meses Fecha Inicio: 2023-06-01
Fecha Fin: 2024-04-30

Líder del proyecto

SIA SEMANTIC INTELLIGENCE No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 75K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Today, new drug development on average costs $2.6 billion and takes 10-14 years. But, for example, the global health emergency over the spread of the deadly new coronavirus, is proving to be a crucial real-life test case for industry to aim dramatically reduce the time it takes to create new vaccines and drugs to combat emerging pandemics. While AI technologies help to identify thousands of new molecules that could be turned into potential medicines, it`s crucial to quickly establish the novelty of the most promising candidates. Therefore, more than 135 million patents, 70 million journal articles, and 4 billion web pages are published creating a vast corpus, Big Data of information that potentially needs to be searched to establish, for example, the novelty of a product, the state of the art in the field of interest or the variety of components within complex compositions. Besides, 88% of the Big Data is unstructured (in form of texts) and its volume increases by a staggering 62% annually, according to IDC. It leads to the main challenge: there is simply way too much data for any human to read, analyze and understand. Semantic Intelligence develops an AI-driven IP intelligence Engine enabling users to search, analyze and extract complex knowledge on chemical-biological interactions in patents. Our proprietary State-of-the-art technology combines Natural Language Processing + Machine Learning + Full linguistic data analysis + Chemical structure processing and Image Recognition, delivering novel ways by integrating two languages: chemical structure and words, into a single semantic meaning. The target audience for this solution is small and medium-sized life science companies, which currently have limitations in accessing expensive biochemistry databases. We are aiming to disrupt the life science industry by delivering a low-cost solution to enable small & medium market players to create value by protecting their IP.

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