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The CAREPATH project launched on 1st of July 2021, is a European Horizon 2020’s project that proposes an ICT based solution for the optimization of clinical practice in the treatment and management of multimorbid patients with Mild Cognitive Impairment (MCI) or mild dementia (MD). CAREPATH project solution will target a more complex multimorbidity scenario and follows an integrated patient-centered approach, to develop a flexible and modular system to deliver an optimized care, adapted framework that allow increasing the independence and Quality of Life (QoL) of multimorbid patients with dementia.

The treatment of people who have Parkinson's disease can be improved significantly by using digital techniques. The DIGIPD project explores how artificial intelligence can contribute to a better individualized treatment of the disease, for example, by analysis of sensor data or automatically detected changes in speech, facial expressions, or movements.

Fraunhofer SCAI has greatly improved its successfully marketed AutoPanelSizer software. The new version now optimizes plans for cutting rectangular parts much faster. New features and the utilization of multiple processor cores ensure even more efficient cutting plans. As a pure optimization kernel, the software can be integrated into existing plant control systems or ERP/MES systems.

Dr. Daniel Oeltz is the new head of the business area "Computational Finance" at the Fraunhofer Institute for Algorithms and Scientific Computing SCAI

New technologies and research to fight COVID-19 can only help if knowledge is rapidly shared and deployed. The novel Open Access Hub area on SAIRA®, deve-loped by Fraunhofer, enables fast and easy sharing and publishing on the latest research findings on COVID-19. To secure the authentication, ownership and integrity of information the platform will be integrated with Blockchain technology.

Since 2008, the Peter P. Chen Award honors one person each year for their outstanding contributions to the field of conceptual modeling. In 2020, the award goes to Prof. Dr. Matthias Jarke, Information Systems chair at RWTH Aachen University and director of the Fraunhofer Institute for Applied Information Technology FIT.

Electricity from renewable energy sources contributes to combat climate change. One of the challenges is to develop technologies for storing excesses in energy supplies quickly and without loss. Organic redox flow batteries (RFBs) promise a viable route to this end: operated where needed, they rely on matter-bound storage – just in analogy to nature's example.

With the new website "covid19-knowledgespace.de", Fraunhofer SCAI – together with Fraunhofer IME, Fraunhofer IAIS, the Information Center for Life Sciences ZBMED and other research partners – is opening a new kind of knowledge space with analysis tools and information on COVID-19. Central services in the COVID-19 Knowledge Space are the Biomedical Knowledge Miner "BiK>Mi" containing a highly curated cause-and-effect model for SARS-CoV-2, the literature mining environment "SCAIView", which has been optimized for COVID-19 text mining, and a special terminology representing major entities and concepts of COVID-19.

Without the printed circuit board (PCB), there would never have been the electronic revolution that has so transformed our lives and jobs. A PCB is the platform upon which minuscule electronic components interact with one another. Today, PCBs are found in an ever-greater number of increasingly complex applications. This in turn has led to more and more stringent require-ments with regard to design and quality assurance. It is vital, for example, to avoid any electrical interference and ensure electromagnetic compatibility. The Fraunhofer Institute for Applied Information Technology FIT has developed a modular AI platform to optimize the design and testing of PCBs, thereby reducing the requisite outlay by as much as 20 percent.

With the new website "covid19-knowledgespace.de", Fraunhofer SCAI – together with Fraunhofer IME, Fraunhofer IAIS, the Information Center for Life Sciences ZBMED and other research partners – is opening a new kind of knowledge space with analysis tools and information on COVID-19. Central services in the COVID-19 Knowledge Space are the Biomedical Knowledge Miner "BiK>Mi" containing a highly curated cause-and-effect model for SARS-CoV-2, the literature mining environment "SCAIView", which has been optimized for COVID-19 text mining, and a special terminology representing major entities and concepts of COVID-19.