Revolutionary AI-Driven Platform Enhances Nanosafety Assessment, Pioneering Sustainable Nanotechnology Development

Press Release

Title: Revolutionary AI-Driven Platform Enhances Nanosafety Assessment, Pioneering Sustainable Nanotechnology Development

Date: 6/5/2024

Location: Nicosia, Cyprus

In a significant leap forward for nanotechnology safety, NovaMechanics Ltd has introduced a groundbreaking in silico approach to nanoparticle toxicity assessment. Powered by the Enalos Cloud Platform (https://www.enaloscloud.novamechanics.com/) and backed by the SABYDOMA , #CompSafeNano, and WorldFAIR Project European projects, this new methodology integrates automated machine learning (autoML) and synthetic data generation, promising to transform nanosafety evaluations and keep pace with rapid nanotechnological innovations.

The rapid development of nanomaterials has ushered in numerous advancements across various industries, but concerns about their potential environmental and health impacts persist. Addressing these concerns, NovaMechanics has developed an innovative in silico workflow for nanoparticle (NP) safety evaluation that circumvents traditional, often ethically fraught and resource-intensive experimental methods. This cutting-edge approach, outlined in the recently published article "In silico assessment of nanoparticle toxicity powered by the Enalos Cloud Platform: Integrating automated machine learning and synthetic data for enhanced nanosafety evaluation," https://www.sciencedirect.com/science/article/pii/S2001037024000734#ack0005 Computational and Structural Biotech Journal leverages the autoML capabilities of Isalos Analytics Platform and the computational power of Enalos Cloud Platform. The platform evaluates the toxicity of silver (Ag), titanium dioxide (TiO2), and copper oxide (CuO) nanoparticles using a model enriched with atomistic descriptors and synthetic data to broaden the dataset for different NP classes. A novel aspect of this study is the introduction of a three-step applicability domain method, enhancing confidence in the predictive results by ensuring their reliability. The model, which utilizes techniques like SMOTE and ADASYN for data balancing, employs a random forest machine learning model selected from seven optimized contenders for its superior performance. The Enalos Cloud Platform (www.enaloscloud.novamechanics.com/sabydoma/safenanoscope/) now hosts this ML model, making it accessible as a web-service to the scientific community. This service facilitates collaborative advancements in the field of nanosafety by allowing researchers worldwide to contribute to and benefit from this innovative technology.

The implications of this research are vast. By enabling rapid, reliable hazard and risk assessments of nanoparticles before they are even synthesized, this methodology aligns with strategies used in drug discovery, prioritizing the synthesis and evaluation of the most promising nanoparticles. This approach not only accelerates the development of safer nanomaterials but also supports the creation of nanoparticles designed for sustainability (SSbD).

Dimitra-Danai Varsou , Senior Scientist at NovaMechanics, mentioned that this is a groundbreaking study that integrates #autoML and synthetic data, revolutionizing nanosafety and paving the way for the development of sustainable and safer nanotechnologies.

Dr. Andreas Afantitis ?Managing Director of NovaMechanics, emphasized, "Our commitment to enhancing nanosafety through technological innovation has led to the development of a platform that not only speeds up the assessment process but does so with unprecedented accuracy and reliability. This is a crucial step towards responsible nanotechnology deployment."

Looking forward, NovaMechanics plans to expand this model to include computational descriptors for NP coatings, further refining the assessment of nanoparticle interactions with biological systems. This ongoing development underlines the company's dedication to pioneering solutions that ensure the safety and sustainability of nanotechnological advancements.

For additional information, interviews, or media inquiries, please contact:

Info [at] novamechanics [dot] com

About NovaMechanics: NovaMechanics Ltd is a leading innovator in computational approaches to nanotechnology safety. Through its development of the Enalos Cloud Platform, the company is at the forefront of utilizing machine learning and computational chemistry to reduce the ecological footprint and improve the safety profile of nanomaterials.