BigMedilytics (@bigmedilytics) 's Twitter Profile
BigMedilytics

@bigmedilytics

Improving #healthcare in Europe through #bigdata. This project receives funding from the @EU_H2020 Research & Innovation Programme.

ID: 1031842629506543616

linkhttp://www.bigmedilytics.eu calendar_today21-08-2018 09:57:08

795 Tweet

393 Followers

515 Following

Philips BeLux (@philipsbelux) 's Twitter Profile Photo

Comment le secteur des soins de santé fragmenté peut-il utiliser de manière holistique les mégadonnées et l'IA ? Cette question était au cœur de 12 projets pilotes de BigMedilytics. En savoir plus : to.philips/6012JHenA

Comment le secteur des soins de santé fragmenté peut-il utiliser de manière holistique les mégadonnées et l'IA ? Cette question était au cœur de 12 projets pilotes de BigMedilytics.

En savoir plus : to.philips/6012JHenA
DFKI (@dfki) 's Twitter Profile Photo

#BigMedilytics the EU funded lighthouse project with 36 partners and 12 pilots on improving #healthcare in Europe through #bigdata has successfully ended. Find out more about the learnings in the blueprint! 👇🏼

TIB SDM🇺🇦 (@tib_sdm) 's Twitter Profile Photo

The BigMedilytics Blueprint, is an interactive website, that describes the key enablers needed to drive the uptake of #BigData healthcare solutions. Please, check the #website ➡️ bigmedilytics.eu/blueprint/ L3S Research Center @L3S_Research_Center@wisskomm, CTB-UPM, IIT, NCSR Demokritos, M.Provencio

BigMedilytics (@bigmedilytics) 's Twitter Profile Photo

The BigMedilytics project has generated many publications. Find them all on our website ➡️ bit.ly/32weQ9s #H2020 #Healthcare #Bigdataanalytics #ArtificialIntelligence #AI #OpenAccess

The BigMedilytics project has generated many publications. Find them all on our website ➡️ bit.ly/32weQ9s

#H2020 #Healthcare #Bigdataanalytics #ArtificialIntelligence #AI #OpenAccess
BigMedilytics (@bigmedilytics) 's Twitter Profile Photo

📺 You can now watch again the Opening Session of the project's final event "Big Data & AI: Actionable Insights Transforming European Healthcare" by Dr. Supriyo Chatterjea, project leader of BigMedilytics and senior scientist at Philips Research. youtu.be/v_JKH5qXX4I

TIB SDM🇺🇦 (@tib_sdm) 's Twitter Profile Photo

Take a look at the Opening Session of the project’s final event “#BigData & #AI: Actionable Insights Transforming European Healthcare” by Dr. Supriyo Chatterjea, project leader of BigMedilytics and senior scientist at Philips Research. ℹ️ youtu.be/v_JKH5qXX4I

BigMedilytics (@bigmedilytics) 's Twitter Profile Photo

The #kidneydisease pilot has developed telemedicine care for patients after kidney transplantation. Find out more in the recording of the session by Prof. Dr. Klemens Budde (Charité - Universitätsmedizin Berlin) and Dr. Roland Roller (DFKI) at the #BigMedilyticsfinalevent. youtu.be/20dBvm4IT4k/

BigMedilytics (@bigmedilytics) 's Twitter Profile Photo

Using clinical data with publicly available environmental data to predict which COPD/Asthma patients might be at greater risk. 📺 Watch the session about the #COPD/#Asthma pilot given by Dr. Brian Pickering from IT Innovation Centre at the project's final event 👇 youtube.com/watch?v=hwYitP…

BigMedilytics (@bigmedilytics) 's Twitter Profile Photo

The #HeartFailure pilot has used Multi-Party Computation techniques to demonstrate how data can be combined in a privacy-preserving manner to securely increase the application of Optimal Medical Therapy from 30% to 100%. Play to know more ▶️ Erasmus MC youtu.be/sKx8lj-zZMU

BigMedilytics (@bigmedilytics) 's Twitter Profile Photo

The #prostatecancer pilot has enabled Value-Based Healthcare for the treatment of patients using a Clinical Decision Support system. Find out more in this session by Dr. Pieter Vos from Philips Research and Prof. Olof Akre from Karolinska Institutet. youtu.be/ru50g31NhaU/

BigMedilytics (@bigmedilytics) 's Twitter Profile Photo

The #Lungcancer pilot has studied how to reduce admissions/readmissions of patients undergoing treatment by using clinical notes, literature, etc. to predict toxicity, adverse events, and drug interactions. Maria-Esther Vidal 🇪🇺 🇻🇪 Inv Puerta de Hierro IIT, NCSR Demokritos youtu.be/d0U1PJLyFX4/

BigMedilytics (@bigmedilytics) 's Twitter Profile Photo

The #Breastcancer pilot has analyzed medical images and clinical data to automatically predict a patient's response to breast cancer neoadjuvant chemotherapy treatment. IBM Research Institut Curie Xosé M Fernández🇪🇺 VTT youtu.be/1n5ThrMw4XU/

BigMedilytics (@bigmedilytics) 's Twitter Profile Photo

The #stroke pilot has demonstrated how Real-Time location data of patients, assets, and staff can be jointly used to improve data quality to help accurately identify the bottlenecks in the Emergency Department workflow. ETZ Philips Research youtu.be/uTPjwGoDlgY/

BigMedilytics (@bigmedilytics) 's Twitter Profile Photo

The #Sepsis pilot of BigMedilytics aimed to optimize sepsis workflows in the Emergency Department based on Real-Time location and clinical workflow data of patients. Insights were used to identify bottlenecks. INCLIVA Philips Research youtu.be/-KMzJvsocN8/

BigMedilytics (@bigmedilytics) 's Twitter Profile Photo

The #Assetmanagement pilot has used Real-Time Location data to reduce search time and improve utilization rates of mobile hospital assets. Find out more in this session by Alexander Furnica from Philips Research and Job Gutteling from @olvg. youtu.be/ceYVBDJ38LI/

BigMedilytics (@bigmedilytics) 's Twitter Profile Photo

The #Radiology workflows pilot has optimized radiology workflows by introducing an image search tool for use by radiologists to speed up the interpretation of images. Learn more 👇 contextflow MedUni Wien Atos España Inv Puerta de Hierro #H2020 #Healthcare youtu.be/i80R-mt4gNc/