Abstract Submission

CAROL BRIGGS TOP SCORING ABSTRACT AWARD

Armin Piehler, MLL Munich Leukemia Laboratory, Munich, Germany. Fürst Medical Laboratory, Oslo, Norway.
"Machine Learning-Based Thalassemia Prediction: Model Development and Over One Year Experience from Routine Diagnostics"

BEREND HOUWEN AWARD

Zi-jun Xu, Affiliated Peoplea, Zhenjiang, China
"Comprehensive Molecular Characterization of Methionine Metabolism Across Hematological Malignancies Reveals Association With Stemness and Anti-Tumor Immunity"

Paridhi, Department of Pathology, ICMR - Centre for Cancer Pathology, New Delhi, India
"Revolutionizing Acute Leukemia Prognostication: Standardizing Liquid Biopsy for Serial Monitoring and Precision Medicine in Acute Leukemia"

Huayang Zhang, Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai China.
"Expanding the Molecular Diagnostic Landscape of Hemophilia B through Noncanonical Splicing Variants in F9"

Yueying Huang, Department of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen China
"Evaluation of a New HbA1c Analyzer for Accurate HbA1c Measurement in Samples Containing Hemoglobin Variants"

Endeme Elobo Rosine, School of Health Sciences, Catholic University of Central Africa, Yaoundé Cameroon
"Neonatal Screening for Sickle Cell Disease at the ESSOS Hospital Center of Yaoundé, Cameroon."

TRAINEE TRAVEL AWARD

Deirdre Finnigan, Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
"Investigating the Relationship Between Red Blood Cell Biomechanical Properties and Anemia in Cancer Patients Undergoing Chemotherapy"

Sila Usta, Biological Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada. Division of Hematological Pathology, Department Laboratory Medicine and Molecular Diagnostics, Precision Diagnostics and Therapeutics Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
"Real World Experience of Optimal Genomic Mapping in Acute and Chronic Myeloid Leukemias: Findings from a Tertiary Canadian Acute Leukemia Referral Center"

Baran Dastaran, Queen's University, Kingston, ON, Canada
"Using Machine Learning to Examine Correlations Between Syllectometry Parameters: Insights into Red Blood Cell Biomechanics"