Abstract: Methods of treating cancer, such as leukemia, via administration of therapeutically effective amounts of artemisinins and second agents are detailed herein. The artemisinins include artesunate, dihydroartemisinin, artemether, arteether, artelinate, and ART-838. The second agents include BCL-2 inhibitors such as ABT-199, ABT-263, and ABT-737; kinase inhibitors such as lestaurtinib, midostaurin, and sorafenib; and anti-neoplastic agents such as cytarabine, doxorubicin, etoposide, cyclophosphamide, triplotide, vinorelbine, cisplatin, and rituximab.

Abstract: Methods of treating cancer, such as leukemia, via administration of therapeutically effective amounts of artemisinins and second agents are detailed herein. The artemisinins include artesunate, dihydroartemisinin, artemether, arteether, artelinate, and ART-838. The second agents include BCL-2 inhibitors such as ABT-199, ABT-263, and ABT-737; kinase inhibitors such as lestaurtinib, midostaurin, and sorafenib; and anti-neoplastic agents such as cytarabine, doxorubicin, etoposide, cyclophosphamide, triplotide, vinorelbine, cisplatin, and rituximab.

Abstract: In accordance with methods and systems consistent with the present invention, an improved fact recognition system is provided that automatically learns from syntactic language examples and semantic language examples, thus facilitating development of the system. The language examples are rather simplistic and can be provided by a lay person with little training, thus relieving the need for knowledge engineers. Furthermore, the learning performed by the improved fact recognition system results in a collection of probabilities that is used by the system to recognize facts in a typically more accurate manner than conventional systems.