Abstract: The present invention relates to useful methods of treating Acute Myeloid Leukemia (AML) in a human. in the presence of gene mutations.

Abstract: Methods of treating acute myeloid leukemia, chronic lymphocytic leukemia and myeloproliferative neoplasms that involve the administration of combinations of small molecule compounds are disclosed.

Abstract: The present invention concerns novel methods of treatment for venetoclax-resistant acute myeloid leukemia, particularly in subjects with a low expression of TP53 protein or expression of TP53 protein associated with a mutation of the TP53 gene, the methods comprising administering to the subject in need thereof a therapeutically effective amount of a NTRK/ALK/ROS1 inhibitor, or a pharmaceutically acceptable salt thereof.

Abstract: A user equipment (UE) registers on a first Public Land Mobile Network (PLMN) and, while in an idle mode, receives a Multimedia Broadcast Multicast Services (MBMS) service. The UE determines whether to perform a periodic network reselection search for a higher priority PLMN while in the idle mode, wherein the UE determines whether to perform the periodic network reselection search based on reception of the MBMS service. The UE may postpone the periodic network reselection search for a period of time while the UE receives the MBMS service in the idle mode. The UE may postpone the periodic network reselection search for a period of time while the UE receives the MBMS service in the idle mode. The UE may interleave the periodic network reselection search with the reception of transmission bursts of the MBMS service, the search being performed on frequencies other than that of the MBMS transmission.

Abstract: Methods of treating acute myeloid leukemia, chronic lymphocytic leukemia and myeloproliferative neoplasms that involve the administration of combinations of small molecule compounds are disclosed.

Abstract: A method of obtaining and processing patient data and patient treatment data to provide a prognosis parameter related to a patient's disease state is provided. The method identifies and calculates coefficients related to appropriate predictor variables which are then used by the prediction model to calculate the prognosis parameter. The prediction model may be a logistic regression model. The method may also be used to assess the level of care being provided to patients, as well as providing a way of assessing the outcome of the patient's condition as a function of treatment. A method of calculating a harm index reflective of the risk of treatment is also provided.