Below are the most recent publications written about "Machine Learning" by people in Profiles.
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Wenzl FA, Schweiger V, Smolle MA, Zech D, Akhmedov A, Wang P, Lapikova-Bryhinska T, Wang Y, Liberale L, Santos K, Ilina Y, Kraler S, Bergmann A, Kaufmann P, Kahles F, von Eckardstein A, Roffi M, Räber L, Cammann VL, Ghadri JR, Di Vece D, Lüscher TF, Templin C. Takotsubo syndrome diagnosis: the biomarker-based BioTAK score. Eur Heart J. 2026 Nov 06; 47(41):6166-6179.
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Yang Z, Oliveira DC, Kerkelä L, Palombo M, Powell E, Parker CS, Cromb D, Story L, Counsell SJ, Payette K, Hajnal JV, Hutter J, Shipley RJ, Alexander DC, Slator PJ. Placental Blood-Flow Velocity Quantification From Diffusion MRI. Magn Reson Med. 2026 Dec; 96(6):2967-2977.
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Hocao?lu M, Das J, Sawalha AH. Identifying Systemic Lupus Erythematosus From Serum Proteomic Profiles Using Machine Learning and Genetic Risk Stratification. Arthritis Rheumatol. 2026 Nov; 78(11):2280-2291.
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Ye Z, Zai A, Wang B, Bennett A, Guilarte-Walker YG, Wong K, Zai AH, Erban S, Lin H. Leveraging routine clinical data for dementia risk prediction using machine learning. J Alzheimers Dis. 2026 06; 111(4):1516-1526.
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Frank B, Gurnani A, Hurley L, Guan C, Andersen SL, Devine SA, O'Connor MK, Budson A, Liu C, Lin H, Auerbach S, Liu Y, Libon DJ, Price CC, Farrer L, Mez J, Ang A, Au R. Psychometric modeling of Boston process approach data for dementia prediction in the Framingham Heart Study. J Int Neuropsychol Soc. 2026 Mar; 32(3):243-254.
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Bao R, Foster AN, Song Y, Vyas R, Kesri A, Eddine Toubal I, Soltani Kazemi E, Rahmon G, Kucukpinar T, Almansour M, Ho ML, Palaniappan K, Ninalga D, Prasad Koirala C, Mohapatra S, Schlaug G, Wodzinski M, Muller H, Ellis DG, Aizenberg MR, Arda Aydin M, Abdinli E, Unal G, Tahmasebi N, Punithakumar K, Song T, Peng Y, Bates SV, Hirschtick R, Ellen Grant P, Ou Y. BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy. IEEE Trans Med Imaging. 2026 Apr; 45(4):1711-1725.
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Tsurumi A, Cahill CM, Liu AJ, Chatterjee P, Das S, Kobayashi A. Development of Plasma Protein Classification Models for Alzheimer's Disease Using Multiple Machine Learning Approaches. Int J Mol Sci. 2025 Dec 02; 26(23).
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Intravaia LE, Shaqra AM, Pirhadi S, Popko N, Kurt Yilmaz N, Schiffer CA. Predicting the Impact of Drug Resistance Mutations on Inhibitor Potency with Molecular Dynamics and Machine Learning. J Phys Chem B. 2025 10 30; 129(43):11128-11140.
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Celik U, Liu F, Kobayashi K, Ellison Iii RT, Guilarte-Walker Y, Mack DA, Shi Q, Zai A. Machine Learning-Enhanced Surveillance for Surgical Site Infections in Patients Undergoing Colon Surgery: Model Development and Evaluation Study. JMIR Form Res. 2025 10 01; 9:e75121.
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Veledar E, Veledar O, Gardener H, Rundek T, Garelnabi M. Harnessing Statistical and Machine Learning Approaches to Analyze Oxidized LDL in Clinical Research. Cell Biochem Biophys. 2025 Dec; 83(4):4201-4215.