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Artificial intelligence in early drug discovery enabling precision medicine
Introduction: Precision medicine is the concept of treating diseases based on environmental
factors, lifestyles, and molecular profiles of patients. This approach has been found to …
factors, lifestyles, and molecular profiles of patients. This approach has been found to …
Machine learning and feature selection for drug response prediction in precision oncology applications
In-depth modeling of the complex interplay among multiple omics data measured from
cancer cell lines or patient tumors is providing new opportunities toward identification of …
cancer cell lines or patient tumors is providing new opportunities toward identification of …
Treatment of multiple myeloma with high-risk cytogenetics: a consensus of the International Myeloma Working Group
P Sonneveld, H Avet-Loiseau, S Lonial… - Blood, The Journal …, 2016 - ashpublications.org
Abstract The International Myeloma Working Group consensus updates the definition for
high-risk (HR) multiple myeloma based on cytogenetics Several cytogenetic abnormalities …
high-risk (HR) multiple myeloma based on cytogenetics Several cytogenetic abnormalities …
Variational autoencoders for cancer data integration: design principles and computational practice
International initiatives such as the Molecular Taxonomy of Breast Cancer International
Consortium are collecting multiple data sets at different genome-scales with the aim to …
Consortium are collecting multiple data sets at different genome-scales with the aim to …
Computational models for predicting drug responses in cancer research
F Azuaje - Briefings in bioinformatics, 2017 - academic.oup.com
The computational prediction of drug responses based on the analysis of multiple types of
genome-wide molecular data is vital for accomplishing the promise of precision medicine in …
genome-wide molecular data is vital for accomplishing the promise of precision medicine in …
Rethinking drug repositioning and development with artificial intelligence, machine learning, and omics
Pharmaceutical industry and the art and science of drug development are sorely in need of
novel transformative technologies in the current age of digital health and artificial …
novel transformative technologies in the current age of digital health and artificial …
Genetics of multiple myeloma: another heterogeneity level?
J Corre, N Munshi… - Blood, The Journal of the …, 2015 - ashpublications.org
Our knowledge of myeloma genetics remained limited and lagged behind many other
hematologic malignancies because of the inherent difficulties in generating metaphases …
hematologic malignancies because of the inherent difficulties in generating metaphases …
An overview of machine learning methods for monotherapy drug response prediction
For an increasing number of preclinical samples, both detailed molecular profiles and their
responses to various drugs are becoming available. Efforts to understand, and predict, drug …
responses to various drugs are becoming available. Efforts to understand, and predict, drug …
Myeloid-derived suppressor cells: The green light for myeloma immune escape
Myeloid-derived suppressor cells (MDSCs) are a heterogeneous, immature myeloid cell
population with the ability to suppress innate and adaptive immune responses that promote …
population with the ability to suppress innate and adaptive immune responses that promote …
[HTML][HTML] Treatment options for patients with heavily pretreated relapsed and refractory multiple myeloma
Despite the increasing number of treatment options available for multiple myeloma, relapse
is still inevitable and there remains a critical unmet need for treatments for patients with late …
is still inevitable and there remains a critical unmet need for treatments for patients with late …