📣 Main Publications

Check my Google Scholar for the full list of publications

Su, X., Wang, Y., Gao, S., Liu, X., .Giunchiglia, V.., et al. (2024). Knowledge Graph Based Agent for Complex, Knowledge-Intensive QA in Medicine.[Link]

Gao, S., Fang, A.*, Huang, Y*, Giunchiglia, V.*, Noori, A.*, et al. (2024). Empowering biomedical discovery with ai agents. Cell, 187(22), 6125-6151.[Link]

Del Giovane, M., Giunchiglia, V., et al. (2024). Remote cognitive tests predict neurodegenerative biomarkers in the Insight 46 cohort. medRxiv, 2024-09.[Link]

Cai, Z.*, Giunchiglia, V.*, Street, R.*, et al. (2024). Online46: online cognitive assessments in elderly cohorts-the British 1946 birth cohort case study. medRxiv, 2024-09.[Link]

Giunchiglia, V., et al. Neural correlates of cognitive ability and visuo-motor speed: validation of IDoCT on UK Biobank Data. Imaging Neuroscience, 2: 1-25 (2024) [Link]

Giunchiglia, V., et al. An iterative approach for estimating domain specific cognitive abilities from large scale online cognitive data. npj Nature Digital Health (2024) [Link]

Hampshire, A., Azor, A., Atchison, C., Trender, W., Hellyer, P. J., Giunchiglia, V., et al.(2024). Cognition and memory after Covid-19 in a large community sample. New England Journal of Medicine, 390(9), 806-818. [Link]

Rida, L., Ioannidis, K., Chamberlain, S. R., Grant, J. E., Hellyer, P., Giunchiglia, V., et al. (2024). Validation of the Comprehensive Online Sleep Monitoring Scale (COSMOS) in a Large Population Sample. medRxiv, 2024-10. [Link]

Cheetham, N. J., Penfold, R., Giunchiglia, V., et al. (2023). The effects of COVID-19 on cognitive performance in a community-based cohort: a COVID symptom study biobank prospective cohort study. EClinicalMedicine, 62. [Link]

Kurtin, D. L., Giunchiglia, V., et al. (2023). Moving from phenomenological to predictive modelling: Progress and pitfalls of modelling brain stimulation in-silico. Neuroimage, 272, 120042. [Link]

Giunchiglia, V., Shukla, C.V., Gonzalez, G. and Agarwal, C., “Towards Training GNNs using Explanation Directed Message Passing.” arXiv preprint 2022, arXiv:2211.16731. [Link]

Isberg OG, Giunchiglia V, et al. “Automated Cancer Diagnostics via Analysis of Optical and Chemical Images by Deep and Shallow Learning.” Metabolites. 2022; 12(5):455. [Link]

Lewis-Jackson, S., Iob, E , Giunchiglia, V., et al. “Policies and politics: an analysis of the public policies aimed at the reorganization of healthcare delivery during the COVID-19 pandemic”. In Caring on the Frontline during COVID-19 (pp. 39-64). Palgrave Macmillan, Singapore. [Link]

Iob, E., Lacey, R., Giunchiglia, V., et al. “Adverse childhood experiences and severity levels of inflammation and depression from childhood to young adulthood: a longitudinal cohort study.” Mol Psychiatry 27, 2255– 2263 (2022). [Link]

Delacher, M., Imbusch, C.D., Hotz-Wagenblatt, A., Mallm, J.P., Bauer, K., Simon, M., Riegel, D., Rendeiro, A.F., Bittner, S., Sanderink, L., Pant, A., Schmidleithner, L., Braband, K.L., Echtenachter, B., Fischer, A., Giunchiglia, V., et al. “Precursors for nonlymphoid-tissue Treg cells reside in secondary lymphoid organs and are programmed by the transcriptor factor BATF.” Cell Immunity, 2020, 52(2), 295-312. Cit. 82. [Link]