Featured Publications
Histopathologic and Machine Deep Learning Criteria to Predict Lymphoma Transformation in Bone Marrow Biopsies.
Irshaid L, Bleiberg J, Weinberger E, Garritano J, Shallis RM, Patsenker J, Lindenbaum O, Kluger Y, Katz SG, Xu ML. Histopathologic and Machine Deep Learning Criteria to Predict Lymphoma Transformation in Bone Marrow Biopsies. Archives Of Pathology & Laboratory Medicine 2021, 146: 182-193. PMID: 34086849, DOI: 10.5858/arpa.2020-0510-oa.Peer-Reviewed Original ResearchConceptsLarge cell transformationChronic lymphocytic leukemiaBone marrow biopsyMarrow biopsyFollicular lymphomaIndolent B-cell lymphomaLarge lymphoma cellsClinical disease progressionDiagnosis of FLFinal outcome dataB-cell lymphomaLarge tumor cellsEase of procedureAggressive chemotherapyLow morbidityLymph nodesWorse prognosisWhole slide scansHistologic findingsPatient's probabilityDisease progressionLymphocytic leukemiaLymphoma transformationClinical questionsOutcome data
2019
Allogeneic stem cell transplantation and combination antiretroviral therapy: cautions, complications, and considerations
Shallis RM, Gleeson S, Azar M, Malinis M, Xu ML, Seropian SE, Gowda L, Zeidan AM. Allogeneic stem cell transplantation and combination antiretroviral therapy: cautions, complications, and considerations. Leukemia & Lymphoma 2019, 60: 2584-2587. PMID: 30943051, DOI: 10.1080/10428194.2019.1594221.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements