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2023 in review

22 Dec 2023

30 Nov 2023


26 Oct 2023

10 Aug 2023

23 Jul 2023

21 Jun 2023

1 Jun 2023

26 Apr 2023

19 Apr 2023

10 Jan 2023

Journal paper accepted in IEEE Access! The study proposes the use of ML methods towards next-day prediction of hypoglycaemic episodes to facilitate diabetes self-management.

Journal paper accepted in BMJ Open! This protocol paper introduces our pilot study towards quantifying Parkinson’s disease severity using our mobile app ParkApp along with the use of wearables.


Journal paper accepted in ACM Transactions on Computing for Healthcare! The study proposes a framework to tackle challenges with limited sample sizes invoking transfer learning and deep learning, applied to mental well-being.

Journal paper accepted in Cell Reports Medicine! The study discusses the use of digital technologies to facilitate symptom tracking and management in endometriosis.

Journal paper accepted in Information Fusion! The study provides an overview of key advances in applied AI summarizing building on the momentum and inter-disciplinary collaborations in IWINAC22'.

New book published by Springer where Thanasis is Lead Editor, summarizing the state of the art in Pervasive Computing in Healthcare, following the organization of the 2022 conference (Thessaloniki, Greece, 12/2022).

Holly Tibble, who had completed her PhD and post-doc with the DARTH group starts on a prestigious Chancellor's Fellowship! Holly will be affiliated with DARTH and progressively setting her own independent research group.


Journal paper accepted in BMC Medical Research Methodology! We provide a framework to infer medication adherence from large-scale electronic health records using asthma as a testbed.

Journal paper accepted in JAMA Network Open! We demonstrate that birth gestational age and socioeconomic status are associated with early brain development in neonates.

Journal paper accepted in Sensors! We demonstrate, for the first time, that mining longitudinal continuous temperature data collected from a smartwatch can provide clinically useful information, using stroke as a testbed.

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