In this podcast, Nirmish Shah, MD, discusses using machine learning and leveraging data analysis to make patient predictions about pain and readmission, to use interventions to minimize complications. Dr Shah’s team presented research on this topic titled “Use of Machine Learning to Predict 30-Day Reutilization of Care for Patients with Sickle Cell Disease Treated for Vaso-Occlusive Crisis” at the American Society of Hematology’s 2023 annual meeting in San Diego, CA.

Use of Machine Learning to Predict Outcomes in Patients With Sickle Cell Disease Treated

At the recent American Society of Hematology (ASH) Annual Meeting in San Diego, Dr. David Andorsky, MD, a Clinical Hematologist and Medical Oncologist at the Rocky Mountain Cancer Centers in Boulder, Colorado, presented his research and observations regarding patterns of care with Bruton tyrosine kinase (BTK) inhibitors and the distribution of social determinants of health among patients with chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL). In this interview, he further discusses how the treatment landscape of CLL/SLL has changed with the introduction of BTK inhibitors and his next steps for this research.

Patterns of Care With BTK Inhibitors for CLL/SLL in the Community Setting: David Andorsky, MD

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New tracks tagged #ASH 2023