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An interesting event at the #royalsociety to learn more about the scientific research model in Barcelona #barcelonaglobal. barcelonaglobal.org/downloads/bcng…

Excited to present our preliminary clinical results on our modular safety system for an insulin dose recommender PepperH2020 Diabetes Technology #DiabetesTech journals.sagepub.com/doi/abs/10.117…

Dr Pau Herrero-Vinas talking about developing machine learning tools to detect infections using routine clinical markers #CAMOTech19

EPIC-IMPOC platform now CE marked - Dr Pau Herrero -Vinas. #CAMOTech19

Pleased to see that the collaboration with our colleagues from Università di Padova Università di Padova is generating some promising results in the AI in diabetes care arena. Check our latest paper! Pantelis Georgiou mdpi.com/1424-8220/19/1…

BBC News - 'Drug-resistant superbug spreading in Europe's hospitals, study shows' #StopSuperbugs bbc.co.uk/news/health-49…

Want to know what glucose will do overnight? Look at glucose, insulin and meals during the day. Overnight glucose prediction using AI from Imperial Medicine and ImperialCBIT by Amparo Guemes Pau Herrero Viñas Monika Reddy Pantelis Georgiou ieeexplore.ieee.org/document/88366…

Want to know how we forecast blood glucose levels for type 1 diabetes management in the H2020 PEPPER project? Check out our latest paper! PepperH2020 Imperial Medicine ImperialCBIT Monika Reddy Pantelis Georgiou Nick Oliver Parizad Avari @JosepVehi mdpi.com/1424-8220/19/1…

Do you want to know about the latest development of our Bio-inspired Artificial Pancreas System? Check our latest paper! Imperial Medicine ImperialCBIT Bioinspired Pancreas Monika Reddy Pantelis Georgiou Nick Oliver journals.sagepub.com/eprint/IEG3WQ2…

I am delighted to announce that our Special Issue "Sensor Technologies: Artificial Intelligence for Diabetes Management" is now open for manuscript submissions. Deadline: 31 March 2020. @JosepVehi Sensors MDPI mdpi.com/journal/sensor…

Excited to be part of the Program Committee of the 2nd Blood Glucose Level Prediction Challenge held in conjunction with the 5th Knowledge Discovery in Healthcare Data workshop (June 8-12, 2020). If you want to know more, please visit sites.google.com/view/kdh-2020/… #ECAI2020

In London on Thu 27 Feb? Doing a lunchtime seminar on #HCAI and #AMR with ⁦Imperial IMSE⁩ & ⁦Pau Herrero Viñas⁩ eventbrite.co.uk/e/healthcare-a…

In print today! Not all times in ranges are equal. Standardisation and harmonisation are required for TIR to be widely used, both clinically and in research liebertpub.com/doi/pdf/10.108… by Parizad Avari Monika Reddy Metabolism, Digestion & Reproduction

Also…. the clinical research leadership of Monika Reddy, the engineering brilliance of Pau Herrero Viñas, and our friends and collaborators IDIBGI Institut d'Investigació Biomèdica de Girona, @Oxford_brookes, Universitat de Girona; at Cellnovo, and Romsoft

How much CGM data is needed to report outcomes, including TIR? It depends.......... new data from Pau Herrero Viñas and Pantelis Georgiou from ImperialCBIT, and Monika Reddy from Metabolism, Digestion & Reproduction liebertpub.com/doi/10.1089/di…

Honoured to be a Guest Editor of the Sensors MDPI special issue on Glucose Sensors and Artificial Intelligence. Looking forward to receiving your submission! (Deadline: 30 April 2021) Martina Vettoretti #cgm #medicaldevices #aihealthcare mdpi.com/journal/sensor…

Un placer participar como ponente en las VIII Jornadas de Tecnologías Aplicadas a la Diabetes organizadas por la SED Diabetes presentando los últimos avances en páncreas artificial bihormonal.

Game changer for #AntibioticResistance? Supervised machine learning to support the diagnosis of bacterial infection in the context of COVID-19. Super exciting study by @tmrawson, Mark Gilchrist, aholmes et al. academic.oup.com/jacamr/article… #IDTwitter

Optimising antimicrobial use: challenges, advances, and opportunities rdcu.be/cmZYL In Nature Reviews Microbiology aholmes William Hope Pantelis Georgiou Pau Herrero Viñas Rich Wilson Infectious Diseases Institute, Makerere University @CAMO_Imperial HPRU AMR

Announcing guidelines on best practices & pitfalls in #MachineLearning in #diabetes. Available in IEEE Engineering Medicine and Biology Society Reviews in Biomed Engr. Honored to work with esteemed coauthors to establish consensus on guidelines. Great for students/postdocs/data scientists ieeexplore.ieee.org/document/10313…