1/09/2023.
Soon it will be autumn, the season of changing leaves- and of grant reviews! And with more and more research funders demanding patient involvement, it's also the time for many of us patient advocates to review grants.
28/08/2023.
Artificial Intelligence (AI) has become an important tool in healthcare in recent years. AI has the ability to analyze large amounts of data and make predictions that can aid doctors in their diagnoses and treatments. This technology has the potential to revolutionize the healthcare industry and improve patient outcomes.
21/08/2023.
The EU General Data Protection Regulation (GDPR) and other similar regulations set out many restrictions on the processing of per- sonal data. Similar laws and regulations are being enacted in additional states and countries around the world. Adhering to these regulations can be a complex and costly task.
14/08/2023.
Interview with Violeta Astratinei, Core member of Melanoma Patient Network Europe and Founder of Melanom Romania.
8/08/2023.
This videoblog presents the webinar "How liquid lenses solve optical challenges in iToBoS" in full version of about 45 minutes of duration that includes the most technical sections about optical design.
4/08/2023.
The 14th European Biophysics Congress was held in Stockholm (Sweden) 31 July-04 August.
1/08/2023.
This videoblog presents How liquid lenses solve optical challenges, in an executive version aimed at a broader audience.
24/07/2023.
Skin cancer, especially melanoma, has been on the rise in recent years, and it is the leading cause of fatality among all types of skin cancers. Early detection and treatment of melanoma can be effective in remedying the disease.
19/07/2023.
Hanover, Germany - Lennart Jütte, a nanotechnologist and PhD candidate at the Hanover Center for Optical Technologies (HOT) at Leibniz University Hanover, has launched an innovative project called Melasome, which combines Generative Adversarial Networks (GANs) and art therapy for skin cancer patients.
13/07/2023.
The open-source ai-privacy-toolkit is a toolkit for tools and techniques related to the privacy and compliance of AI models. We recently released version 0.2.0 of the toolkit containing new functionality around privacy risk assessment of synthetic datasets.