Research output per year
Research output per year
Personal profile
Research interests
I have a broad range of research interests across the field of AI. My research interests lie in the applications of AI and bioinformatics in medical, biological science and healthcare robotics, especially neurological and mental health disorders, including:
- Applications: personalised treatment, early diagnose, risk assessment, disease progression monitoring, treatment response prediction, prognostic and diagnostic modelling, drug discovery, information retrieval, etc.
- Algorithms: generative AI, machine learning, statistical modelling, MCDA, etc.
- Data types: EHR, neuroimaging and cellular imaging, omics data, biomedical signals, data from smart/wearable sensors, longitudinal and cross-sectional data, etc.
I am currently open to PhD applications.
External positions
Honorary research scientist, University of Oxford
Apr 2023 → …
Research Groups and Themes
- Intelligent Systems Laboratory
Keywords
- deep learning
- machine learning
- mental health
- personalised treatment
- risk prediction
- drug discovery
- image processing
- wearable sensors
- Engineering Biology
- digital health
- neurological disorders
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Collaborations and top research areas from the last five years
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Research output
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Predicting outcomes at the individual patient level: what is the best method?
Liu, Q., Ostinelli, E., Crescenzo, F., Li, Z., Tomlinson, A., Salanti, G., Cipriani, A. & Efthimiou, O., 14 Jun 2023, In: BMJ Mental Health. 26, 1, bmjment-2023-300701.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access2 Citations (Scopus) -
Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression
Liu, Q., Salanti, G., Crescenzo, F. D., Ostinelli, E., Li, Z., Tomlinson, A., Cipriani, A. & Efthimiou, O., 12 May 2022, In: BMC Psychiatry.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access10 Citations (Scopus) -
Personalised treatment for cognitive impairment in dementia: development and validation of an artificial intelligence model
Liu, Q., Vaci, N., Koychev, I., Kormilitzin, A., Li, Z., Cipriani, A. & Nevado-Holgado , A., 1 Feb 2022, In: BMC Medicine.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access16 Citations (Scopus)
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Feasibility of Artificial Intelligence (AI) for Patient Registries
Hodge, J. J. L. (Principal Investigator), Amin, S. (Co-Investigator), Liu, Q. (Co-Investigator), Ratnaike, T. (Co-Investigator) & Vaughan, B. (Co-Investigator)
1/12/24 → 31/07/25
Project: Research
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Cryptic Chatter: Decoding Multicellular Interactions with AI Microscopy
Boussahel, A. (Principal Investigator) & Liu, Q. (Co-Investigator)
1/12/24 → 31/07/25
Project: Research
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Using artificial intelligence to decode morphological signatures for Alzheimer's disease
Liu, Q. (Principal Investigator)
1/04/24 → 31/07/24
Project: Research