Abstract Submission

Present your work at ISLH 2026

Travel Award Winners

Congratulations to the 2026 travel award recipients!



CAROL BRIGGS TOP SCORING ABSTRACT AWARD

Joana Silva, ULS Coimbra, Coimbra, Portugal
"Diagnostic value of Clauss/Antigen Fibrinogen ratio in patients with congenital fibrinogen disorders"

BEREND HOUWEN AWARD

Amit Nisal, Bharati Hospital & Research Centre, Pune, India
"Automated Reticulocyte Enumeration Using Machine Learning on Smartphone Microscopic Images for Low-Resource Settings"

Macarena Ottobre, Hospital de Niños Dr. Ricardo Gutierrez, Ciudad Autonoma de Buenos Aires, Argentina
"Different methods, same results? A comparison between point-of-care testing and hematology analyzers for hemoglobin and hematocrit measurements"

TRAINEE TRAVEL AWARD

Ella Derkzen, London Health Sciences Centre, London, ON, Canada
"Early Prediction of Thrombotic Thrombocytopenic Purpura from Routine Laboratory Data Using Machine Learning"

Zeeshan Ansar, Aga Khan University Hospital, Karachi, Pakistan
"Impact of Consanguinity on the Genetic Landscape of Beta-Thalassemia:Insights from a Five-Year Hospital-Based Cohort in Pakistan"

Alaa Ramadan, Faculty of Medicine, South Valley University, Qena, Egypt
"Early Detection of Pre-Cytopenic Bone Marrow Failure Using Machine-Learned Complete Blood Count Ratios: A Multi-Institutional TriNetX Analysis"

Angeliki Kotsiafti, Alexandra General University Hospital, Athens, Greece
"Emergency Ηematopoiesis: distinguishing the normal from the abnormal through proposed criteria using flow cytometry"

YOUNG INVESTIGATOR AWARD

Henning Nilius, Inselspital, Bern University Hospital, Bern, Switzerland
"An accurate and pragmatic diagnostic algorithm for heparin-induced thrombocytopenia (HIT) in critically ill patients: an analysis of the TORADI-HIT study"

Guoqing Zhu, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
"Machine Learning-Based Early Screening of Myelodysplastic Syndromes Using Complete Blood Count"

Ashley Cartwright, UK NEQAS for Leucocyte Immunophenotyping, Sheffield, United Kingdom
"Benchmarking Large Language Models Against Interpretive External Quality Assessment in Haematological Oncology"