biostudies-literatureCanas LSEPSRCWellcome EPSRC Centre for Medical EngineeringWellcome Trust17581https://www.ebi.ac.uk/biostudies/studies/S-EPMC11289120biostudies-literatureUnknown14(1)Tuberculous meningitis (TBM) is the most lethal form of tuberculosis. Clinical features, such as coma, can predict death, but they are insufficient for the accurate prognosis of other outcomes, especially when impacted by co-morbidities such as HIV infection. Brain magnetic resonance imaging (MRI) characterises the extent and severity of disease and may enable more accurate prediction of complications and poor outcomes. We analysed clinical and brain MRI data from a prospective longitudinal study of 216 adults with TBM; 73 (34%) were HIV-positive, a factor highly correlated with mortality. We implemented an end-to-end framework to model clinical and imaging features to predict disease progression. Our model used state-of-the-art machine learning models for automatic imaging feature encodinScientific reportsComputer-aided prognosis of tuberculous meningitis combining imaging and non-imaging data.PMC11289120215010/Z/18/Z203148/Z/16/ZEP/T022205/1Thwaites GEThuong NTTChanh HQKarlen WGomez ADenehy LVan Hien HPhong NTDuc TMMoser NThao DPDung NTPNguyen HTPhu NHMcKnight JDuc DHPerez BHCleary JOMing DChau LBVan Hao NYen LMHoang VTVan Nuil JIVan NTTPaton CThu LNMHill-Cawthorne KThwaites GTurner HNguyen PHPisani LGeorgiou PPhuong LTEnglish MHagenah JVan Khoa LDNguyen NTDuong HTHNgoc NTThwaites LThao TTPKhanh PNQDung NTThao LTMZhu TXochicale MManzano JRTrinh NTDGeskus RVan Thanh Duoc NQui PTOanh PKNTrinh DHKTrieu HTCanas LVuong NLAnh NTKHolmes AHung TMBeasley DQuyen NTHLam PKRollinson TViet NQTho PVKhanh LTTNhat PTHNghia HDTDonovan JVietnam ICU Translational Applications Laboratory (VITAL) InvestigatorsKestelyn ELu PRazavi RKarolcik SDong THKKien DTThuy DBHai HBMcbride AKieu PTYacoub SOurselin SSchultz MModat MVan PTHThy DBXHuyen VNTToan LMAli NClifton DGiang NTCanas LSKing AThao NTPAn LPTam CTHuy NQTai LTHTran LHBLe Thanh NTBrown RKerdegari HfalseComputer-aided prognosis of tuberculous meningitis combining imaging and non-imaging data.Tuberculous meningitis (TBM) is the most lethal form of tuberculosis. Clinical features, such as coma, can predict death, but they are insufficient for the accurate prognosis of other outcomes, especially when impacted by co-morbidities such as HIV infection. Brain magnetic resonance imaging (MRI) characterises the extent and severity of disease and may enable more accurate prediction of complications and poor outcomes. We analysed clinical and brain MRI data from a prospective longitudinal study of 216 adults with TBM; 73 (34%) were HIV-positive, a factor highly correlated with mortality. We implemented an end-to-end framework to model clinical and imaging features to predict disease progression. Our model used state-of-the-art machine learning models for automatic imaging feature encodin2024-01-01T00:00:00Z2024 Jul2026-06-03T00:34:29.649Z2025-04-19T20:46:53.641ZS-EPMC112891203908038110.1038/s41598-024-68308-8