Descripción del proyecto
Facilitación del aprendizaje automático en química
Para realizar avances en química médica, la próxima generación de científicos debe poseer un conocimiento excelente de química y tecnologías avanzadas como la inteligencia artificial (IA) y el aprendizaje automático. El proyecto financiado con fondos europeos AIDD trabajará para innovar en la investigación de fármacos preparando a una nueva generación de científicos capacitados en aprendizaje automático. Se trata de un recurso esencial para el desarrollo de la industria química, que incluye empresas farmacéuticas, agrobiotecnológicas y otras empresas químicas. Los becarios empleados serán supervisados por académicos con excelentes conocimientos especializados complementarios, además de haber contribuido a algunos de los algoritmos fundamentales de IA utilizados miles de millones de veces al día en el mundo, y empresas farmacéuticas pioneras de la Unión Europea responsables de nuevos medicamentos y de salud pública.
Objetivo
"The dramatic increase in using of Artificial Intelligence (AI) and machine learning methods in different fields of science becomes an essential asset in the development of the chemical industry, including pharmaceutical, agro biotech, and other chemical companies. However, the application of AI in these fields is not straightforward and requires excellent knowledge of chemistry. Thus, there is a strong need to train and prepare a new generation of scientists who have skills both in machine learning and in chemistry and can advance medicinal chemistry, which is the prime goal of the AIDD proposal. Research WPs include sixteen topics selected to cover the key innovative directions in machine learning in chemistry. Fellows employed will be supervised by academics who have excellent complementary expertise and contributed some of the fundamental AI algorithms which are used billions of times per day in the world, and leading EU Pharma companies who are in charge of new medicine and public health. All developed methods can be used individually but will also contribute to an integrated ""One Chemistry"" model that can predict outcomes ranging from different properties to molecule generation and synthesis. Training on various modalities allows the model to understand how to intertwine chemistry and biology to develop a new drug making its design robust and explainable. All partners agreed to make their software open source. It will boost the field and will provide the broadest possible dissemination of the results both to the academy and industry, including SMEs. The network will offer comprehensive, structured training through a well-elaborated Curriculum, online courses, and six Schools. The IP policy and commercial exploitation of the project results have the highest priority supported by intellectual property asset management organizations. Comprehensive public engagement activities will complement the dissemination of results to the scientific community."
Ámbito científico
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
- medical and health sciencesbasic medicinepharmacology and pharmacydrug discovery
- natural sciencescomputer and information sciencessoftware
- medical and health scienceshealth sciencespublic health
- medical and health sciencesbasic medicinemedicinal chemistry
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Palabras clave
Programa(s)
Régimen de financiación
MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)Coordinador
85764 Neuherberg
Alemania