VJHemOnc Podcast

A focus on the use of artificial intelligence to personalize blood cancer care

Sep 30, 2024

Join Carsten Niemann, a leading hematological oncologist from Copenhagen University Hospital, as he delves into the transformative power of artificial intelligence in personalizing blood cancer care. Discover how AI enhances treatment for Chronic Lymphocytic Leukemia by predicting individual risks and improving decision-making. Niemann discusses a novel treatment infection model his team developed, while Gareth Morgan from NYU Langone highlights AI's role in classifying multiple myeloma patients and its potential to predict transplantation needs.

28:55

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Episode guests

Carsten Niemann

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Episode notes

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Quick takeaways

Artificial intelligence is revolutionizing blood cancer treatment by personalizing care through models like the CLL treatment infection model using 80 key variables.

The integration of AI with electronic health records enhances clinical decision-making by providing real-time support and optimizing patient management for myeloma and CLL.

Deep dives

The Role of Artificial Intelligence in Personalized Treatment

Artificial intelligence (AI) is transforming the management of blood cancer by personalizing treatment based on individual patient data. One notable application is a treatment infection model for chronic lymphocytic leukemia (CLL) developed at Copenhagen University Hospital, which uses machine learning to analyze various data points to predict patients' risk of severe infections. The model incorporates 80 key variables, simplifying decision-making for healthcare providers. By identifying specific risk factors tied to individual patients, this approach fosters tailored treatment plans rather than relying solely on generalized risk assessments.

Intro

3min

Personalizing Blood Cancer Care with AI

5min

AI and Blood Cancer Care

6min

Navigating Challenges in AI-Driven Clinical Trials

3min

AI-Driven Innovations in Blood Cancer Care

13min

Welcome to the final episode of VJHemOnc’s Blood Cancer Awareness Month special series!

This episode focuses on the role of artificial intelligence (AI) in personalizing blood cancer care. Carsten Niemann, MD, PhD, Copenhagen University Hospital, Copenhagen, Denmark, discusses the value of AI in hematological oncology and how it is currently used in the clinic. He then shares details of a treatment infection model for chronic lymphocytic leukemia (CLL) that has been deployed in his institution. Gareth Morgan, MD, PhD, FRCP, FRCPath, NYU Langone, New York City, NY, delves into the role of AI in the classification of multiple myeloma and the prediction of patients who will need transplantation. He also touches on the use of AI to better understand genomic data.

References
Agius R, Riis-Jensen A. C, Wimmer B, et al. Deployment and validation of the CLL treatment infection model adjoined to an EHR system. NPJ Digit Med. 2024;7(1):147.

Niemann C, Levin M-D, Österborg A, et al. The CLL Treatment Infection Model – Clinical Prospective Validation as Part of the Prevent-Acall Trial. Hemasphere. 2023;7(Suppl):e1432517.

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