BIOGRAPHY
Computer Scientist with keen interests in mHealth, IOoT mobile application development and streaming applications. I am currently working on developing the RADAR-base and working on the ART, AIMS2TRIALS studies.
RESEARCH INTERESTS
mHealth; Machine Learning; Software Engineering; IoT
LATEST PUBLICATIONS
- Physical multimorbidity, depressive symptoms, and social participation in adults over 50 years of age: findings from the English Longitudinal Study of Ageing
- Inpatient COVID-19 mortality has reduced over time: Results from an observational cohort
- Digital health tools for the passive monitoring of depression: a systematic review of methods
- A novel algorithmic approach to generate consensus treatment guidelines in adult acute myeloid leukaemia
- Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic
- Development of a Lexicon for Pain
- The feasibility of a strategy for the remote recruitment, consenting and assessment of recent referrals: A protocol for Phase 1 of the On-Line Parent Training for the Initial Management of ADHD referrals (OPTIMA).
- The feasibility of a strategy for the remote recruitment, consenting and assessment of recent referrals: A protocol for Phase 1 of the On-Line Parent Training for the Initial Management of ADHD referrals (OPTIMA).
- Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)
- Real-time clinician text feeds from electronic health records
- Exploring the Effects of In-App Components on Engagement with a Symptom-Tracking Platform among Participants with Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial
- Meta-analysis of genome-wide DNA methylation identifies shared associations across neurodegenerative disorders
- Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)
- Exploring the Effects of In-App Components on Engagement with a Symptom-Tracking Platform among Participants with Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial
- Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology
- Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)
- Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)
- Proteomic blood profiling in mild, severe and critical COVID-19 patients
- Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)
- Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)
LATEST NEWS
- Physical multimorbidity, depressive symptoms, and social participation in adults over 50 years of age: findings from the English Longitudinal Study of Ageing
- Inpatient COVID-19 mortality has reduced over time: Results from an observational cohort
- Digital health tools for the passive monitoring of depression: a systematic review of methods
- A novel algorithmic approach to generate consensus treatment guidelines in adult acute myeloid leukaemia
- Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic
- Development of a Lexicon for Pain
- The feasibility of a strategy for the remote recruitment, consenting and assessment of recent referrals: A protocol for Phase 1 of the On-Line Parent Training for the Initial Management of ADHD referrals (OPTIMA).
- The feasibility of a strategy for the remote recruitment, consenting and assessment of recent referrals: A protocol for Phase 1 of the On-Line Parent Training for the Initial Management of ADHD referrals (OPTIMA).
- Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)
- Real-time clinician text feeds from electronic health records
- Exploring the Effects of In-App Components on Engagement with a Symptom-Tracking Platform among Participants with Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial
- Meta-analysis of genome-wide DNA methylation identifies shared associations across neurodegenerative disorders
- Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)
- Exploring the Effects of In-App Components on Engagement with a Symptom-Tracking Platform among Participants with Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial
- Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology
- Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)
- Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)
- Proteomic blood profiling in mild, severe and critical COVID-19 patients
- Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)
- Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)