Survey of Hematology/Oncology Program Leaders on Equity and Global Health Opportunities for Fellows.

PURPOSE: The study assesses the current state of global oncology (GO)/hematology training opportunities in US fellowship programs. METHODS: We developed a comprehensive survey of 64-Likert multiple-choice and open-ended questions. The survey was electronically distributed to fellowship program leaders at Accreditation Council for Graduate Medical Education-accredited adult hematology/oncology fellowships. Program directors received three reminders after which survey was sent to assistant program directors or division heads for programs not represented. RESULTS: A total of 171 programs were eligible for the survey. We received 42 (24.6%) responses; 40 were included in the analysis, and two were excluded for declined consent and incomplete responses. The programs include large academic (81.6%) and community hospitals (10.5%). Of the respondents, 18 (48.6%) reported offering some opportunities for global health training, and half reported interest among current fellows. Most programs (29, 82.9%) had three or fewer faculty engaged in GO research. Institutional training grants were available in 15 (39.5%) programs, of which six (40%) allowed for global health research. Of the 18 programs offering global health training activities, most (15, 83.3%) report less than a quarter of their trainees currently participate in GO experiences. The most commonly perceived barriers to GO opportunities include competing priorities (85.3%) and lack of faculty mentors with GO-related experience (82.4%). Conversely, the most commonly perceived facilitators include established partnerships outside the United States (97.0%) and dedicated institutional funding (93.9%). CONCLUSION: Our survey demonstrates that although there is significant interest among fellowship trainees, a minority of the fellowship programs offer GO opportunities. Providing GO opportunities would require programs to establish partnerships with institutions outside the United States and to have systematic approaches of addressing other barriers, including enhancing funding and mentorship.

Synthetic Data Generation in Hematology - Paving the Way for OMOP and FHIR Integration.

This study advances the utility of synthetic study data in hematology, particularly for Acute Myeloid Leukemia (AML), by facilitating its integration into healthcare systems and research platforms through standardization into the Observational Medical Outcomes Partnership (OMOP) and Fast Healthcare Interoperability Resources (FHIR) formats. In our previous work, we addressed the need for high-quality patient data and used CTAB-GAN+ and Normalizing Flow (NFlow) to synthesize data from 1606 patients across four multicenter AML clinical trials. We published the generated synthetic cohorts, that accurately replicate the distributions of key demographic, laboratory, molecular, and cytogenetic variables, alongside patient outcomes, demonstrating high fidelity and usability. The conversion to the OMOP format opens avenues for comparative observational multi-center research by enabling seamless combination with related OMOP datasets, thereby broadening the scope of AML research. Similarly, standardization into FHIR facilitates further developments of applications, e.g. via the SMART-on-FHIR platform, offering realistic test data. This effort aims to foster a more collaborative research environment and facilitate the development of innovative tools and applications in AML care and research.

[To construct Chinese hematology community].

The development of hematology in China has gradually begun since the 1950s. After several generations of hard work, it has grown into a young but vibrant discipline. The development of Chinese hematology has experienced rapid rise and steady growth, but there is still a gap with the international level of hematology development. Only by constructing a Chinese community of hematology and forming a joint force to promote the development of hematology can we better realize the Chinese Dream in the field of hematology.

Digital Imaging and AI Pre-classification in Hematology.

A leukocyte differential of peripheral blood can be performed using digital imaging coupled with cellular pre-classification by artificial neural networks. Platelet and erythrocyte morphology can be assessed and counts estimated. Systems from a single vendor have been used in clinical practice for several years, with other vendors' systems, in a development. These systems perform comparably to traditional manual optical microscopy, however, it is important to note that they are designed and intended to be operated by a trained morphologist. These systems have several benefits including increased standardization, efficiency, and remote-review capability.

Advances in Hematology Analyzers Technology.

The evolution of complete blood count (CBC) methodology from manual calculations to sophisticated high throughput hematology analyzers is the focus of this article. In recent years, hematology testing has greatly benefitted from the combination of various technologies with automated neural networks. In addition to an increasing complexity of the laboratory instrumentation, there is a demand on point of care CBC testing with its benefits and drawbacks. This article highlights exciting advancements of hematology testing from the past to the present and into the future.

Trainees' perspectives on sickle cell education: a qualitative needs assessment.

BACKGROUND: Sickle cell disease (SCD) exemplifies many of the social, racial, and healthcare equity issues in the United States. Despite its high morbidity, mortality, and cost of care, SCD has not been prioritized in research and clinical teaching, resulting in under-trained clinicians and a poor evidence base for managing complications of the disease. This study aimed to perform a needs assessment, examining the perspectives of medical trainees pursuing hematology/oncology subspecialty training regarding SCD-focused education and clinical care. METHOD: Inductive, iterative thematic analysis was used to explore qualitative interviews of subspecialty hematology-oncology trainees' attitudes and preferences for education on the management of patients with SCD. Fifteen trainees from six programs in the United States participated in 4 focus groups between April and May 2023. RESULTS: Thematic analysis resulted in 3 themes: 1. Discomfort caring for patients with SCD. 2. Challenges managing complications of SCD, and 3. Desire for SCD specific education. Patient care challenges included the complexity of managing SCD complications, limited evidence to guide practice, and healthcare bias. Skill-building challenges included lack of longitudinal exposure, access to expert clinicians, and didactics. CONCLUSIONS: Variations in exposure, limited formal didactics, and a lack of national standardization for SCD education during training contributes to trainees' discomfort and challenges in managing SCD, which in turn, contribute to decreased interest in entering the SCD workforce. The findings underscore the need for ACGME competency amendments, dedicated SCD rotations, and standardized didactics to address the gaps in SCD education.

Application of RhD Blood Group to Simulate Antibody Identification Test in Immunohematology Education.

BACKGROUND: Immunohematology skill education is an important part of the transfusion medicine professional training. We tried to solve the difficulty of obtaining suitable and sufficient positive samples in the immunohematology education. METHODS: Different identification panels and panel cells were created by RhD-positive red blood cells (RBCs) and RhD-negative RBCs, according to the underlying antibodies. Diluted anti-D reagent was used as simulated plasma for identification. RESULTS: The antibody identification of single antibody with dose-effect and two antibodies present at the same time were successfully simulated. CONCLUSIONS: It is a practical and cheap method for antibody identification training to use RhD blood group, especially when positive samples are short.

Reform of teaching and practice of the integrated teaching method BOPPPS-PBL in the course "clinical haematological test technique".

BACKGROUND: In order to meet the demand for laboratory talents in the clinical laboratory industry and address the current curriculum characteristics and shortcomings of the teaching mode of "Clinical Hematology Laboratory Technology", we investigated the effectiveness of the bridge-in, objective, pre-assessment, participatory learning, post-assessment, and summary model combined with problem-based learning (BOPPPS-PBL) in undergraduate teaching of this course. METHOD: Seventy students majoring in Medical Laboratory Technology from the Army Medical University in the past 5 years have been selected and divided into two groups with the same teaching content and time. The control group (2015 and 2016 grades) used traditional teaching methods, while the experimental group (2017, 2018 and 2019 grades) used the BOPPPS-PBL model. After class, diverse evaluation methods were used to analyze the formative and summative exam scores of the two groups of students. RESULTS: After the reform, students performed significantly better in exams than before. In addition, the new teaching methods have had a positive impact, with students demonstrating high motivation for self-directed learning and problem-solving abilities. CONCLUSION: Compared to traditional teaching methods. The BOPPPS-PBL integrated case study education model is a relatively effective teaching method to improve students' problem-solving ability and comprehensive practical ability.

Nanoscale insights into hematology: super-resolved imaging on blood cell structure, function, and pathology.

Fluorescence nanoscopy, also known as super-resolution microscopy, has transcended the conventional resolution barriers and enabled visualization of biological samples at nanometric resolutions. A series of super-resolution techniques have been developed and applied to investigate the molecular distribution, organization, and interactions in blood cells, as well as the underlying mechanisms of blood-cell-associated diseases. In this review, we provide an overview of various fluorescence nanoscopy technologies, outlining their current development stage and the challenges they are facing in terms of functionality and practicality. We specifically explore how these innovations have propelled forward the analysis of thrombocytes (platelets), erythrocytes (red blood cells) and leukocytes (white blood cells), shedding light on the nanoscale arrangement of subcellular components and molecular interactions. We spotlight novel biomarkers uncovered by fluorescence nanoscopy for disease diagnosis, such as thrombocytopathies, malignancies, and infectious diseases. Furthermore, we discuss the technological hurdles and chart out prospective avenues for future research directions. This review aims to underscore the significant contributions of fluorescence nanoscopy to the field of blood cell analysis and disease diagnosis, poised to revolutionize our approach to exploring, understanding, and managing disease at the molecular level.

Impact of a Regional Pediatric Hematology/Oncology Fellowship Program in Guatemala.

PURPOSE: This study aimed to describe and assess the regional experience of a pediatric hematology/oncology fellowship program based in Guatemala. METHODS: The Unidad Nacional de Oncología Pediátrica (UNOP) in Guatemala City, Guatemala, is the only hospital in Central America dedicated exclusively to childhood and adolescent cancer. To address the regional need for specialists, a fellowship program in pediatric hematology/oncology was launched in 2003. The UNOP fellowship program comprises 3 years of training. Although the program is based at UNOP, it also includes rotations locally and internationally to enhance clinical exposure. The curriculum is based on international standards to cover clinical expertise, research, professionalism, communication, and health advocacy. Trainees are selected according to country or facility-level need for pediatric hematologists/oncologists, with a plan for them to be hired immediately after completing their training. RESULTS: Forty physicians from 10 countries in Latin America have completed training. In addition, there are currently 13 fellows from five countries in training. Of the graduates, 39 (98%) are now practicing in pediatric hematology/oncology in Latin America. Moreover, many of them have leadership positions within their institutions and participate in research, advocacy, and policy making. Graduates from the UNOP program contribute to institutions by providing care for an increasing number of patients with pediatric cancer. The UNOP program is the first pediatric hematology/oncology fellowship program in the world to be accredited by Accreditation Council for Graduate Medical Education-International, an international body accrediting clinical training programs. CONCLUSION: The UNOP program has trained specialists to increase the available care for children with cancer in Latin America. This regional approach to specialist training can maximize resources and serve as a model for other programs and regions.

Making sense of artificial intelligence and large language models-including ChatGPT-in pediatric hematology/oncology.

ChatGPT and other artificial intelligence (AI) systems have captivated the attention of healthcare providers and researchers for their potential to improve care processes and outcomes. While these technologies hold promise to automate processes, increase efficiency, and reduce cognitive burden, their use also carries risks. In this commentary, we review basic concepts of AI, outline some of the capabilities and limitations of currently available tools, discuss current and future applications in pediatric hematology/oncology, and provide an evaluation and implementation framework that can be used by pediatric hematologist/oncologists considering the use of AI in clinical practice.

Enhancing diagnostic accuracy of multiple myeloma through ML-driven analysis of hematological slides: new dataset and identification model to support hematologists.

Multiple Myeloma (MM) is a hematological malignancy characterized by the clonal proliferation of plasma cells within the bone marrow. Diagnosing MM presents considerable challenges, involving the identification of plasma cells in cytology examinations on hematological slides. At present, this is still a time-consuming manual task and has high labor costs. These challenges have adverse implications, which rely heavily on medical professionals' expertise and experience. To tackle these challenges, we present an investigation using Artificial Intelligence, specifically a Machine Learning analysis of hematological slides with a Deep Neural Network (DNN), to support specialists during the process of diagnosing MM. In this sense, the contribution of this study is twofold: in addition to the trained model to diagnose MM, we also make available to the community a fully-curated hematological slide dataset with thousands of images of plasma cells. Taken together, the setup we established here is a framework that researchers and hospitals with limited resources can promptly use. Our contributions provide practical results that have been directly applied in the public health system in Brazil. Given the open-source nature of the project, we anticipate it will be used and extended to diagnose other malignancies.

Launching an International Community of Practice in Hematology/Oncology Medical Education.

A community of practice (CoP) is a group of people who share a concern or a passion for something they do and learn how to do it better as they interact regularly. While the field of hematology/oncology has historically prioritized clinical care and biomedical research, medical education has received increasing attention within hematology/oncology in recent years. In 2018, ASCO launched the Education Scholars Program to train hematology/oncology clinicians in the science of teaching and learning. However, the number of hematology/oncology educators nationally and internationally far exceeds the capacity of the Education Scholars Program to train them. In addition, hematology/oncology educators often lack sufficient mentorship and guidance at their own institutions to pursue their chosen career path effectively. To ensure high-quality clinical care and research for generations to come, attention must be paid to improving support for hematology/oncology educators. Therefore, supported by ASCO, we developed an international medical education (Med Ed) CoP for hematology/oncology educators with the purpose of providing them with support, community, mentorship, resources, and scholarly opportunities in medical education. In this article, we describe the development of the Med Ed CoP using a three-stage framework (Establish-Grow-Sustain) including successes, challenges, and reflections. By supporting the needs of hematology/oncology educators, the Med Ed CoP will serve as a home for all who contribute to the field of hematology/oncology.