PB1767: CHALLENGES IN MACHINE LEARNING-BASED DETECTION OF MEASURABLE RESIDUAL DISEASE IN PATIENTS WITH ACUTE MYELOID LEUKEMIA

• Lars Thielecke,
• Friedemann Uschner,
• Jonas Schadt,
• Maximilian Roehnert,
• Uta Oelschlaegel,
• Ingo Roeder,
• Martin Bornhauser,
• Malte von Bonin,
• Ingmar Glauche

Affiliations

Lars Thielecke

1 Institute for Medical Informatics and Biometry, TU Dresden, Dresden, Germany

Friedemann Uschner

1 Institute for Medical Informatics and Biometry, TU Dresden, Dresden, Germany

Jonas Schadt

2 University Hospital Carl Gustav Carus, TU Dresden, Department of Medicine I, Dresden, Germany

Maximilian Roehnert

2 University Hospital Carl Gustav Carus, TU Dresden, Department of Medicine I, Dresden, Germany

Uta Oelschlaegel

2 University Hospital Carl Gustav Carus, TU Dresden, Department of Medicine I, Dresden, Germany

Ingo Roeder

1 Institute for Medical Informatics and Biometry, TU Dresden, Dresden, Germany

Martin Bornhauser

2 University Hospital Carl Gustav Carus, TU Dresden, Department of Medicine I, Dresden, Germany

Malte von Bonin

2 University Hospital Carl Gustav Carus, TU Dresden, Department of Medicine I, Dresden, Germany

Ingmar Glauche

1 Institute for Medical Informatics and Biometry, TU Dresden, Dresden, Germany