Microspectroscopy-based optimization of the effects of laser pulses on the retina
The most dangerous complication of retinal diseases - the growth of abnormal blood vessels - is currently treated using repeated
unpleasant and risky injections of drugs based on antivascular endothelial growth factors directly into the eye. Less commonly,
laser surgery is used, which often causes damage to the surrounding healthy tissue. Such damage can be avoided by more accurate
laser pulse positioning and by continuously monitoring its impact on the retina.
To achieve this, we will devise a novel principle of detecting the state of the retina using multi-modal imaging and analysis of
autofluorescence in real time. Together with better control over the light beam, this new principle will be used in a new generation
of ophthalmic therapeutic devices
This project has received funding from the Slovenian research agency under grant No. L7-7561.
Smart tools for gauging nano hazards
A definitive conclusion about the dangers associated with human or animal exposure to a particular nanomaterial
can currently be made upon complex and costly procedures including complete NM characterisation with consequent careful
and well-controlled in vivo experiments. To achieve a significant progress in nanotoxicity prediction, we will use in-vivo,
in-vitro and in-silico research, combined with systems biology and statistical methods to address main respiratory toxicity
pathways for a representative set of nanomaterials, identify the mechanistic key events of the pathways, and relate them to
interactions at the bio-nano interface.
Using this knowledge, economic and straightforward tests will be developed to assess
the ability of nanomaterial to produce the pathway-relevant key events.This approach will allow us to group materials based
on their nanotoxicity and identify properties of concern for new materials, as well as reduce the need for expensive nanotoxicity
testing in the future.
This project has received funding from the European Unionâ€™s Horizon 2020 research and innovation programme under grant agreement No. 686098
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