
Fraunhofer SCAI
@fraunhofer_scai
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Nachrichten aus der Forschungsarbeit von Fraunhofer SCAI. Redakteur: Dipl.-Journ. Michael Krapp | Impressum: https://t.co/G7NTGX1Zz1
Sankt Augustin
Joined December 2010
RT @predictom: Holger Fröhlich, Head of AI & Data Science at @fraunhofer_scai , explains his work on PREDICTOM and sheds light on the data….
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RT @alphagalileo: The new Marie Skłodowska-Curie Doctoral Network #AIPD is dedicated to investigating #AI methods to combat #Parkinson's d….
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RT @ApitiusHofmann: [3/n] What is special about IHLAD is the environment: in the UAE you will find a unique combination of vision, aspirati….
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RT @ApitiusHofmann: [2/n].IHLAD is a translational precision medicine institute that was started approx. 2 years ago. The institute is purs….
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RT @ApitiusHofmann: [5/n].With the IHLAD - Fraunhofer SCAI collaboration we enter an area that is both: challenging (quite a bit) and prom….
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"Bill Gates investiert in KI-Projekt bei.@fraunhofer_scai in Sankt Augustin", lautet die Überschrift eines Artikels, der heute im @KSTA erscheinen ist. Zum Artikel:
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RT @CommuteProject: Yet another important activity that corresponds to what we are doing in #COMMUTE : the #AIPD Graduate School Network co….
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In this month's @Fraunhofer_SCAI #StudentCorner, Mehmet Can Ay presents his Master's thesis, where he developed PDataViewer, a tool that helps navigate the Parkinson's disease data landscape to find new early diagnostics. #AcademicTwitter #BioResearch.
www.scai.fraunhofer.de
Mehmet Can Ay presents PDataViewer, a web-based application to explore the data landscape for Parkinson's Disease research, which he developed as part of his Master's thesis.
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RT @BORA_network: Get a glimpse of Bonn as a science location, the diversity of our institutional landscape and get to know our BORA member….
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RT @CommuteProject: Sandra Acosta from Barcelona Beta Brain Research Center ( @BarcelonaBeta ) guiding us through the work of WorkPackage….
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RT @nikolausf: #mild .#covidisnotover. So proud to welcome @ApitiusHofmann and the @CommuteProject, in Vienna for….
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SAFECAR-ML: Fraunhofer SCAI und die Automobilindustrie nutzen #KI zur schnelleren Fahrzeugentwicklung. Ziel: Virtuelle Crashtests effizienter dokumentieren. Mit #MachineLearning freisprachliche Aussagen verstehen und Handlungsempfehlungen ableiten. Mehr:
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In this month's @Fraunhofer_SCAI #StudentCorner, Deniz Er presents her Master's thesis, which explores enhanced brain knowledge graphs, aiming to find causal relationships for drug repurposing for Alzheimer's treatments. #AcademicTwitter #BioResearch.
www.scai.fraunhofer.de
Deniz Er provides insights into predicting biological causal relationships in Alzheimer's research through link prediction methods applied to the Human Brain Pharmacome (HBP), the focus of her...
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Synthetische Daten treiben die personalisierte Medizin voran – im Projekt @IHI_SYNTHIA sollen mit #KI-Verfahren synthetische #Patientendaten erzeugt werden. Damit lassen sich datenschutzrechtliche Hürden überwinden:
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RT @FranzBotschaft: Ein großer Erfolg!.In weniger als zwei Jahren entwickelte ein Konsortium aus sechs 🇩🇪 & 🇫🇷 Partnern den Prototyp eines….
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RT @FraunhoferMEVIS: Proud to be a partner of @IHI_SYNTHIA and looking forward to transforming personalized medicine with synthetic data. J….
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In this month's @Fraunhofer_SCAI #StudentCorner, Kiril Klein presents the PHAIR project, which aims to accelerate and improve the surveillance of drug safety monitoring by combining health data and #AI. To the blog post: #AcademicTwitter #BioResearch.
www.scai.fraunhofer.de
Kiril Klein introduces the PHAIR project, which aims to improve the surveillance of drug safety monitoring by integrating health data and artificial intelligence.
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Neugierig auf Weiterbildung zu #KI in der #Industrie? Jetzt noch anmelden: "Certified Data Scientist Specialized in Machine Data Analytics" (23.-27.9. 2024). 🔧 5-tägiger Online-Kurs zur Anwendung von #MachineLearning in der #Maschinendatenanalyse. Infos:
www.bigdata-ai.fraunhofer.de
Lernen Sie die Schritte zur technischen Analyse vorliegender Sensor- und Simulationsdaten von Maschinen und Anlagen in unserer Weiterbildung kennen.
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