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Innoderm 2020 Profile
Innoderm 2020

@Innoderm2020

Followers
187
Following
1K
Media
46
Statuses
523

This project receives funding from the @EU_H2020 Research & Innovation Programme. Any related tweets reflect only the views of the project owner.

Joined December 2018
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@OPTOMICS2020
OPTOMICS
2 years
Have you heard? 🗣️ We are joining forces with @Neurotwin, @DIGIPREDICT_EU and @EDITH_CSA_EU for the 1st International Symposium on #DigitalTwins in Healthcare on May 16-17, 2024 in Cyprus. Submit your abstract today: https://t.co/CAuczWed7H #digitaltwin4health @HorizonEU
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@MunichImaging
MunichImaging
2 years
Researchers @MunichImaging introduce phase-shifting #optothermal #microscopy #PSOM enabling #livecell mid-infrared hyperspectral #imaging of large cell populations at high confluency. Read @ScienceAdvances https://t.co/VLmOsXZJyh @PleitezMAP @dfg_public
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@winther2020
WINTHER2020
2 years
Happy #TBThursday! Last week Ludwig Englert gave a talk at @PhotonicsWest about fast #RSOM potential for skin conditions. Wanna know more? https://t.co/1hRhjEInlJ #Tbt #PhotonicsWest
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@Photonics21
Photonics21
2 years
Apply now to the Photonics21 Innovation Award 2024! Win a cash prize of 5000 € & an entrpreneurial coaching, 👉further details & registration at https://t.co/2LomZB5zsR
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@winther2020
WINTHER2020
2 years
🚨 #WINTHER Paper alert!! @MunichImaging researchers propose a quality control scheme towards the #standardization of #RSOM images for clinical and biomedical applications
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@HelmholtzMunich
Helmholtz Munich | @HelmholtzMunich
2 years
🤖#AIatHelmholtzMunich #HelmholtzMunich researchers & collaborators use high-resolution imaging for patients dealing with various illnesses, including #BreastCancer. 👉More about #AI in Optoacoustics: https://t.co/SEu0GfT8gg #deeplearning #AI #DeepMB #Medicalinnovation #Imaging
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@MunichImaging
MunichImaging
2 years
Some impressions from our last week's @munichimaging winter retreat ☃️❄️❄️❄️ shining stars this time were our new starting research projects in pitch talks & thus our phd and master students. Exciting to see these ideas emerge into results and papers in the next months and years!
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@TU_Muenchen
TU München
2 years
Researchers developed a method to measure changes in small #bloodvessels caused by #diabetes to assess the severity of the disease by combining #AI with innovative high-resolution #optoacousticimaging technology: https://t.co/vrdPYD827X #RSOM @ntziachristos 📷iStock/agrobacter
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@HelmholtzMunich
Helmholtz Munich | @HelmholtzMunich
2 years
#AIatHelmholtzMunich #HelmholtzMunich & @TU_Muenchen developed #RSOM, an #optoacoustic #imaging technology that in combination with #AI provides a detailed look at #diabetes progression. 👉The non-invasive skin scanner simplifies clinical care of diabetes: https://t.co/fyDjsYLOkx
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@MunichImaging
MunichImaging
2 years
Definitely a milestone of our recent research @MunichImaging ! Now it is possible to assess #Diabetes stage non-invasively, with an #optoacoustic #RSOM scan of less than 1 minute. Congrats to all the authors of this game-changing study!
@HelmholtzMunich
Helmholtz Munich | @HelmholtzMunich
2 years
#AIatHelmholtzMunich #HelmholtzMunich & @TU_Muenchen developed #RSOM, an #optoacoustic #imaging technology that in combination with #AI provides a detailed look at #diabetes progression. 👉The non-invasive skin scanner simplifies clinical care of diabetes: https://t.co/fyDjsYLOkx
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@winther2020
WINTHER2020
2 years
🚨Paper alert from WINTHER: #RSOM images of >100 patients demonstrate the potential of skin as #biomarker to predict and monitor #diabetes. Huge success for the authors 🍾and important advancement for the patients 👇 #optoacoustic
@MunichImaging
MunichImaging
2 years
Fast, non-invasive assessment of #diabetes severity: @MunichImaging & Leontios Hadjileontiadis derive skin features from tomograms from #optoacoustic mesoscopy #RSOM via #MachineLearning and correlate #microangiopathy with diabetes stage Read @natBME https://t.co/M6Onkmwvh0
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@MunichImaging
MunichImaging
2 years
With our continuos efforts to make #optoacoustic #mesoscopy or #sensing cheaper & smaller and finally accessible to users and patients at home, this research @munichimaging will change the way #diabetes progression is assessed and monitored!
@TU_Muenchen
TU München
2 years
Researchers developed a method to measure changes in small #bloodvessels caused by #diabetes to assess the severity of the disease by combining #AI with innovative high-resolution #optoacousticimaging technology: https://t.co/vrdPYD827X #RSOM @ntziachristos 📷iStock/agrobacter
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@OPTOMICS2020
OPTOMICS
2 years
BIG news from our Coordinator institute, @MunichImaging at @TU_Muenchen! In a new study, they correlate #diabetes stage with #microvessel phenotypes derived from #optoacoustic #RSOM images, laying important groundwork for the OPTOMICS #DigitalTwin.🧬 ➡️ https://t.co/7fE3wadnSi
@MunichImaging
MunichImaging
2 years
Fast, non-invasive assessment of #diabetes severity: @MunichImaging & Leontios Hadjileontiadis derive skin features from tomograms from #optoacoustic mesoscopy #RSOM via #MachineLearning and correlate #microangiopathy with diabetes stage Read @natBME https://t.co/M6Onkmwvh0
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@ntziachristos
Vasilis Ntziachristos
2 years
Skin is a window to many diseases. But can it be used to characterize #diabetes? Read how detailed microvascular features, uniquely captured by #optoacoustic mesoscopy and explainable #AI, allow characterization of diabetes stage.
Tweet card summary image
nature.com
Nature Biomedical Engineering - Skin-microangiopathy phenotypes can be correlated with diabetes stage by leveraging clinically explainable morphophysiological features obtained from the analysis,...
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@EU_HaDEA
HaDEA
2 years
🔔 The @DigitalSkillsEU Info Day & Pitching Event is tomorrow! Join us to learn all about the #DigitalEuropeProgramme call and application process. 📅12 December, 9:30 & 14:00, #online More information and registration! ✍️ https://t.co/HtGMqQCjeU
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@Innoderm2020
Innoderm 2020
2 years
Fantastic work coming out of our follow-on project, @WINTHER! Congrats to the team and keep up the good work! #RSOM #optoacoustic #diabetes
@MunichImaging
MunichImaging
2 years
Fast, non-invasive assessment of #diabetes severity: @MunichImaging & Leontios Hadjileontiadis derive skin features from tomograms from #optoacoustic mesoscopy #RSOM via #MachineLearning and correlate #microangiopathy with diabetes stage Read @natBME https://t.co/M6Onkmwvh0
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@helmholtz_diabc
Helmholtz Diabetes Center (HDC)
2 years
🌍Today is #WorldDiabetesDay. We are joining the worldwide movement to shine a light on #diabetes. 💙 Together, let's foster understanding, support groundbreaking research, and strive for a future where diabetes is better managed and prevented. 🧪🔬
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@MunichImaging
MunichImaging
2 years
@Munichimaging researchers provide an overview of #optoacoustic systems that enable imaging of carotid plaques to provide a deeper understanding of carotid plaque pathophysiology in carotid artery disease. Read the review here: https://t.co/8ISaP97PdT @dzhk_germany
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@MunichImaging
MunichImaging
2 years
🥳Congrats to our @MunichImaging director Vasilis @ntziachristos recognized as one of the world’s top-cited scientists provided by #Elsevier, compiled by @standford https://t.co/hMFg7jy28I We are very proud of him taking rank 7 under #Clinical/ Nuclear #Medicine & #MedicalImaging
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@MunichImaging
MunichImaging
2 years
Great to have our paper even after 5 years making the top cited paper list. Looking at #sound brings exciting opportunities for #optoacoustic #imaging Read the #review in @LightSciAppl https://t.co/eSQh22fc8w #interferometry #piezoelectric #ultrasound #photoacoustics
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