Ali Oskooei
Overview
Explore the profile of Ali Oskooei including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
12
Citations
186
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Born J, Manica M, Oskooei A, Cadow J, Markert G, Rodriguez Martinez M
iScience
. 2021 Apr;
24(4):102269.
PMID: 33851095
With the advent of deep generative models in computational chemistry, drug design is undergoing an unprecedented transformation. Although deep learning approaches have shown potential in generating compounds with desired chemical...
2.
Cadow J, Born J, Manica M, Oskooei A, Rodriguez Martinez M
Nucleic Acids Res
. 2020 May;
48(W1):W502-W508.
PMID: 32402082
The identification of new targeted and personalized therapies for cancer requires the fast and accurate assessment of the drug efficacy of potential compounds against a particular biomolecular sample. It has...
3.
Oskooei A, Manica M, Mathis R, Rodriguez Martinez M
Sci Rep
. 2019 Nov;
9(1):15918.
PMID: 31685861
We present the Network-based Biased Tree Ensembles (NetBiTE) method for drug sensitivity prediction and drug sensitivity biomarker identification in cancer using a combination of prior knowledge and gene expression data....
4.
Manica M, Oskooei A, Born J, Subramanian V, Saez-Rodriguez J, Rodriguez Martinez M
Mol Pharm
. 2019 Oct;
16(12):4797-4806.
PMID: 31618586
In line with recent advances in neural drug design and sensitivity prediction, we propose a novel architecture for interpretable prediction of anticancer compound sensitivity using a multimodal attention-based convolutional encoder....
5.
Huber D, Oskooei A, Casadevall I Solvas X, DeMello A, Kaigala G
Chem Rev
. 2018 Feb;
118(4):2042-2079.
PMID: 29420889
Hydrodynamic phenomena are ubiquitous in living organisms and can be used to manipulate cells or emulate physiological microenvironments experienced in vivo. Hydrodynamic effects influence multiple cellular properties and processes, including...
6.
Oskooei A, Kaigala G
IEEE Trans Biomed Eng
. 2017 May;
64(6):1261-1269.
PMID: 28541189
We present a method for nonintrusive localization and reagent delivery on immersed biological samples with topographical variation on the order of hundreds of micrometers. Our technique, which we refer to...
7.
Oskooei A, Gunther A
Lab Chip
. 2015 May;
15(13):2842-53.
PMID: 26016773
We present an on-chip liquid routing technique intended for application in well-based microfluidic systems that require long-term active pumping at low to medium flowrates. Our technique requires only one fluidic...
8.
Abolhasani M, Oskooei A, Klinkova A, Kumacheva E, Gunther A
Lab Chip
. 2014 May;
14(13):2309-18.
PMID: 24828153
We introduce oscillatory segmented flow as a compact microfluidic format that accommodates slow chemical reactions for the solution-phase processing of colloidal nanomaterials. The strategy allows the reaction progress to be...
9.
Oskooei A, Abolhasani M, Gunther A
Lab Chip
. 2013 May;
13(13):2519-27.
PMID: 23670058
We introduce a miniature gate valve as a readily implementable strategy for actively controlling the flow of liquids on-chip, within a footprint of less than one square millimetre. Bubble gates...
10.
Moledina F, Clarke G, Oskooei A, Onishi K, Gunther A, Zandstra P
Proc Natl Acad Sci U S A
. 2012 Feb;
109(9):3264-9.
PMID: 22334649
Local (cell-level) signaling environments, regulated by autocrine and paracrine signaling, and modulated by cell organization, are hypothesized to be fundamental stem cell fate control mechanisms used during development. It has,...