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Abstract A051: Multi-omic explainable machine learning improves cancer treatment outcome prediction2025 Clinical Cancer Research conference-abstract Biochemistry, Genetics and Molecular Biology Breast Cancer Treatment Studies
Khoa Anh Tran, Venkateswar Addala, Lambros T. Koufariotis, Jia Zhang, Scott Wood, Conrad Leonard, +10 more
2citations -
Prediction of Severe Gastrointestinal Bleeding Events in Hemodialysis: Collaborative Development of Machine Learning Model Within INSPIRE2021 Journal of the American Society of Nephrology conference-abstract Medicine Dialysis and Renal Disease Management
Suman Kumar Lama, Sheetal Chaudhuri, Joanna L. Willetts, John W. Larkin, Anke C. Winter, Manuela Stauss‐Grabo, +6 more
0citations -
POS0570 UNSUPERVISED DEEP-LEARNING IDENTIFIES SIX CLINICAL SUBTYPES OF RHEUMATOID ARTHRITIS AT BASELINE THAT ASSOCIATE WITH METHOTREXATE FAILURE DURING FOLLOW-UP2022 Annals of the Rheumatic Diseases conference-abstract Medicine Rheumatoid Arthritis Research and Therapies Open access
Tjardo Daniël Maarseveen, Marc P. Maurits, Tom W. J. Huizinga, Marcel J. T. Reinders, Erik B. van den Akker, Rachel Knevel
3citations -
ABS0413 LET'S ASK THE PATIENT: DISEASE PREDICTION BASED ON FREE-TEXT SYMPTOM DESCRIPTIONS2025 Annals of the Rheumatic Diseases conference-abstract Health Professions Artificial Intelligence in Healthcare Open access
I. Pérez - Sancristóbal, Nils Steinz, Tjardo Daniël Maarseveen, Floor Dijkstra Zegers, B. Axnäs, Luis Rodríguez‐Rodríguez, +1 more
0citations
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