Enalos Cloud Platform

Democratizing Access to Data Driven, Machine Learning & Artificial Intelligence Models


NanoSolveIT will develop a validated tiered IATA to identify the critical characteristics of nanomaterials responsible for their adverse effects on human health and the environment or for their functionalities in high-tech applications, and will implement a nanoinformatics-driven decision-support strategy based on innovative in silico methods, models and tools. An important novel concept is the nanomaterial fingerprint – a set of descriptors and properties that can be predictively linked to nanomaterials properties, functionality and hazard by the development and integration of advanced nanoinformatics methods and tools.

This work received funding from the European Union's Horizon 2020 research and innovation program via NanoSolveIT project under grant agreement nº 814572.

More information at: nanosolveit.eu

Nanomaterials occupational exposure simulation

This application is based on the aerosol dynamics particle population balance equation model and is used for estimating nanomaterials' concentration evolution over time in indoor spaces.

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IATA: integration of PBPK and occupational exposure

This web application enables the use of PBPK models for simulating the biodistribution of nanoparticles in humans as a result of exposure via the inhalation route.

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Nanomaterials lung exposure dose simulation

This model takes as input the evolution over time of the nanomaterials' concentration in an indoor space and computes its deposition dose in various human's respiratory regions.

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Simple4BoxNano: environmental fate

SimpleBox4nano simulates the environmental fate of chemicals as fluxes between a series of well-mixed boxes of air, water, sediment and soil on regional, continental and global spatial scales.

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