Harnessing Big Data in Treating Hematologic Malignancies
نویسندگان
چکیده
منابع مشابه
Fungal Infections in Pediatric Patients with Hematologic Malignancies
As the data on the epidemiology and outcome of fungal infections in children with hematologic cancer are limited especially in Iran, this study was aimed to delineate the epidemiologic features and outcome of fungal infections in this population. The medical records of all children with hematologic malignancies diagnosed with a fungal infection from 2005 to 2010 at a tertiary pediatric hospita...
متن کاملHematologic Malignancies
Touch MEdical MEdia 43 Multiple myeloma (MM) is an incurable plasma cell disease that comprises 1 % of all cancers and 10 % of hematologic malignancies. It primarily affects older individuals—the median age at the moment of diagnosis is 70 years—and two-thirds of multiple myeloma patients are over 65 years of age when they are first diagnosed. The outcome of MM patients has significantly improv...
متن کاملHarnessing Big Data for Systems Pharmacology.
Systems pharmacology aims to holistically understand mechanisms of drug actions to support drug discovery and clinical practice. Systems pharmacology modeling (SPM) is data driven. It integrates an exponentially growing amount of data at multiple scales (genetic, molecular, cellular, organismal, and environmental). The goal of SPM is to develop mechanistic or predictive multiscale models that a...
متن کاملHematologic Malignancies in Pregnancy
Cancer and especially hematological cancer during pregnancy is infrequent and its management is difficult for patients and their families, but also for their physicians since two lives with different priorities have to be considered. Treatment should adhere the standard treatment for the specific type and stage of cancer. Small adaptations can be considered in order to avoid adverse effects on ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Oncology Times
سال: 2020
ISSN: 0276-2234
DOI: 10.1097/01.cot.0000668176.71146.93