62nd ASH Annual Meeting and Exposition: 803. Emerging Diagnostic Tools and Techniques II

Oral and Poster Abstracts
Oral

CRS, Anemias, sickle cell disease, Biological, Diseases, bioengineering, Lymphoma (any), sickle cell trait, platelets, CAR-Ts, Therapies, red blood cells, Pediatric, Adverse Events, white blood cells, Hemoglobinopathies, B-Cell Lymphoma, Biological Processes, Technology and Procedures, immune cells, Immune Disorders, T-Cell Lymphoma, cytogenetics, Cell Lineage, Study Population, Lymphoid Malignancies, Myeloid Malignancies, Clinically relevant, imaging, Quality Improvement , flow cytometry, immune mechanism, white blood cell disorders, molecular testing, newborn screening, NGS

Moderators:

Aziz Nazha, MD, and Manja Meggendorfer, PhD, MLL Munich Leukemia Laboratory

Disclosures:

Nazha: incyte: Speakers Bureau; novartis: Speakers Bureau; abbvie: Consultancy; Daiichi Sankyo: Consultancy.

12:00 PM

195

Machine Learning (ML) Can Successfully Support Microscopic Differential Counts of Peripheral Blood Smears in a High Throughput Hematology Laboratory

Christian Pohlkamp, MD¹^*, Kapil Jhalani¹^*, Niroshan Nadarajah¹^*, Inseok Heo, PhD²^*, William Wetton²^*, Rudolf Drescher, PhD³^*, Siegfried Hänselmann, PhD³^*, Thomas Lörch, PhD³^*, Claudia Haferlach, MD¹, Wolfgang Kern, MD¹ and Torsten Haferlach, MD¹

¹MLL Munich Leukemia Laboratory, Munich, Germany
²Amazon Web Services, Envision Engineering, Herndon
³MetaSystems, Altlussheim, Germany

12:15 PM

196

Computer Vision and Deep Learning Assisted Microchip Electrophoresis for Integrated Anemia and Sickle Cell Disease Screening

Ran An, PhD¹, Yuncheng Man¹^*, Shamreen Iram¹^*, Erdem Kucukal, PhD¹^*, Muhammad Noman Hasan, PhD¹^*, Ambar Solis-Fuentes¹^*, Allison Bode¹^*, Ailis Hill¹^*, Kevin Cheng¹^*, Yuning Huang¹^*, Sanjay Ahuja, MD^1,2, Jane A. Little, MD³, Michael Hinczewski, PhD¹^* and Umut A. Gurkan, PhD¹

¹Case Western Reserve University, Cleveland, OH
²University Hospitals Rainbow Babies & Children’s Hospital, Cleveland, OH
³University of North Carolina at Chapel Hill, Chapel Hill, NC

12:30 PM

197

Artificial Intelligence Substantially Supports Chromosome Banding Analysis Maintaining Its Strengths in Hematologic Diagnostics Even in the Era of Newer Technologies

Claudia Haferlach, MD¹, Siegfried Hänselmann, PhD²^*, Wencke Walter, PhD¹^*, Sarah Volkert¹^*, Melanie Zenger¹^*, Wolfgang Kern, MD¹, Anna Stengel, PhD¹, Thomas Lörch, PhD²^* and Torsten Haferlach, MD¹

¹MLL Munich Leukemia Laboratory, Munich, Germany
²MetaSystems, Altlussheim, Germany

12:45 PM

198

A Novel Method for Molecular Enumeration of Circulating Tisa-Cel and Axi-Cel in Lymphoma Patients

Chiara Monfrini¹^*, Vanessa Aragona¹^*, Martina Magni²^*, Riccardo Betta³^*, Cristina Vella²^*, Chiara Paolizzi²^*, Anna Dodero⁴^*, Annalisa Chiappella⁴, Anna Guidetti⁵, Paolo Corradini⁶ and Cristiana Carniti¹^*

¹Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
²Fondazione IRCCS Istituto Nazionale Tumori, Milano, Italy
³Fondazione IRCCS Istituto Nazionale Tumori and Università degli Studi di Milano, Milano, Italy
⁴Division of Hematology and Stem Cell Transplantation, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
⁵Division of Hematology and Stem Cell Transplantation, Fondazione IRCCS Istituto Nazionale dei Tumori and Università degli Studi di Milano, Milano, Italy
⁶Fondazione IRCCS Istituto Nazionale dei Tumori and Università degli Studi di Milano, Milano, Italy

1:00 PM

199

Profiling T-Cell Receptor Diversity and Dynamics during Lymphoma Immunotherapy Using Cell-Free DNA (cfDNA)

Navika D Shukla¹^*, Alexander F. M. Craig, MPhil², Brian Sworder, MD, PhD¹, David M. Kurtz, MD, PhD¹, Charles Macaulay, MSc, BA³^*, Andrea Garofalo, BS, BA¹^*, Matthew J. Frank, MD, PhD⁴, Stefan Alig, MD¹^*, George Duran, BA⁵^*, Youn H. Kim, MD⁶, James Zehnder, MD⁷, Crystal L. Mackall, MD⁸, David B. Miklos, MD, PhD⁴, Maximilian Diehn, MD, PhD⁹^*, Michael S. Khodadoust, MD, PhD¹⁰ and Ash A. Alizadeh, MD, PhD¹¹

¹Department of Medicine, Divisions of Hematology & Oncology, Stanford University, Stanford, CA
²Department of Medicine, Division of Oncology, Stanford University Medical Center, Stanford, CA
³Department of Medicine, Divisions of Hematology & Oncology, Stanford University Medical Center, Palo Alto, CA
⁴Division of Blood and Marrow Transplantation, Stanford University, Stanford, CA
⁵Department of Medicine, Stanford University, Stanford
⁶Department of Dermatology, Stanford University School of Medicine, Stanford, CA
⁷Pathology and Medicine/Hematology, Stanford Univ. Med. Ctr., Stanford, CA
⁸Department of Pediatrics, Division of Hematology and Oncology, Stanford University, Stanford, CA
⁹Department of Radiation Oncology, Stanford University Medical Center, Stanford, CA
¹⁰Department of Medicine, Division of Oncology & Department of Dermatology, Stanford University School of Medicine, Stanford, CA
¹¹Department of Medicine, Divisions of Hematology & Oncology, Stanford University Medical Center, Stanford, CA

1:15 PM

200

Detecting 24 Kinds of Cytokines Via Flow Cytometry Aimplex Kit Is an Effective Way to Monitor CRS after CAR-T Cells Infusion

Dongchu Wang¹^*, Xiang Li¹^*, Liyuan Qiu²^*, Shizhe Fu¹^*, Lingyun Cui¹^*, Hui Wang, MD³^* and Peihua Lu, MD⁴

¹hebei yanda ludaopei hospital, Langfang, China
²Hebei Yanda Lu Daopei Hospital, langfang, China
³Pathology & Laboratory Medicine Division, Hebei Yanda Lu Daopei Hospital, langfang, China
⁴Hebei Yanda Lu Daopei Hospital, Langfang, China

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^*signifies non-member of ASH

803.O2.6 803. Emerging Diagnostic Tools and Techniques II