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Journal of Quantitative Criminology|June 18, 2026
Mobility Network-based Measurement of Local Collective Efficacy and its Consequences for the Spatial Patterning of Violent CrimeCatherine A Calder, Nicolo P Pinchak, Christopher R Browning, et al.
International Journal of Molecular Sciences|December 17, 2024
Calaspargase-Pegol-Mknl Combined with BCL-2 and MCL-1 Inhibition for Acute Myeloid LeukemiaDominique Bollino, Xinrong Ma, Kayla M Tighe, et al.
Bioinformatics (Oxford, England)|November 29, 2019
Antibody complementarity determining region design using high-capacity machine learningGe Liu, Haoyang Zeng, Jonas Mueller, et al.
Leukemia Research|May 19, 2015
Perturbation of cellular oxidative state induced by dichloroacetate and arsenic trioxide for treatment of acute myeloid leukemiaAshkan Emadi, Mariola Sadowska, Brandon Carter-Cooper, et al.
Nature Biotechnology|February 22, 2022
Using deep learning to annotate the protein universeMaxwell L Bileschi, David Belanger, Drew H Bryant, et al.
Frontiers in Oncology|December 29, 2022
Erwinia asparaginase (crisantaspase) increases plasma levels of serine and glycineDominique Bollino, J Preston Claiborne, Kanwal Hameed, et al.
Oral Oncology|June 6, 2022
Simultaneously targeting ErbB family kinases and PI3K in HPV-positive head and neck squamous cell carcinomaZejia Yang, Jipei Liao, Lisa Schumaker, et al.
American Journal of Hematology|February 5, 2015
Presence of isocitrate dehydrogenase mutations may predict clinical response to hypomethylating agents in patients with acute myeloid leukemiaAshkan Emadi, Rawan Faramand, Brandon Carter-Cooper, et al.
ACS Medicinal Chemistry Letters|May 20, 2017
Identification of New FLT3 Inhibitors That Potently Inhibit AML Cell Lines via an Azo Click-It/Staple-It ApproachXiaochu Ma, Jie Zhou, Changhao Wang, et al.
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