Probabilistic modeling of personalized drug combinations from integrated chemical screen and molecular data in sarcoma.

Noah E BerlowRishi RikhiMathew GeltzeilerJinu AbrahamMatthew N SvalinaLara E DavisErin WiseMaria ManciniJonathan NoujaimAtiya MansoorMichael J QuistKevin L MatlockMartin W GorosBrian S HernandezYee C DoungKhin ThwayTomohide TsukaharaJun NishioElaine T HuangSusan AirhartCarol J BultRegina Gandour-EdwardsRobert G MakiRobin L JonesJoel E MichalekMilan MilovancevSouparno GhoshRanadip PalCharles Keller

Published in: BMC cancer (2019)

These proof-of-concept studies support the use of an integrative functional approach to personalized combination therapy prediction for the population of high-risk cancer patients lacking viable clinical options and without actionable DNA sequencing-based therapy.

Keyphrases

combination therapy
single molecule
circulating tumor
electronic health record
high throughput
single cell
cell free
big data
case control
emergency department
nucleic acid
adverse drug
machine learning
bone marrow
artificial intelligence
smoking cessation
circulating tumor cells