Researchers with Memorial Sloan Kettering and City of Hope have created a tool that uses machine learning to assess a non-Hodgkin lymphoma patient’s likely response to chimeric antigen receptor T-cell therapy before starting the treatment, according to study results published on April 1 in Nature Medicine.
A novel cell therapy approach using cord blood-derived natural killer cells pre-complexed with AFM13, or acimtamig, a CD30/CD16A bispecific antibody, was safe and generated strong response rates for patients with refractory CD30-positive lymphomas, according to a new study from the University of Texas MD Anderson Cancer Center.
