Joseph Lehar
Overview
Explore the profile of Joseph Lehar including associated specialties, affiliations and a list of published articles.
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Articles
34
Citations
14382
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Recent Articles
1.
Avey S, Chatterjee M, Manyakov N, Cooper P, Sabins N, Mosca K, et al.
Clin Transl Sci
. 2024 Feb;
17(2):e13734.
PMID: 38380580
Remote inflammation monitoring with digital health technologies (DHTs) would provide valuable information for both clinical research and care. Controlled perturbations of the immune system may reveal physiological signatures which could...
2.
Naik K, Goyal R, Foschini L, Chak C, Thielscher C, Zhu H, et al.
Clin Pharmacol Ther
. 2023 Dec;
115(4):673-686.
PMID: 38103204
Technological innovations, such as artificial intelligence (AI) and machine learning (ML), have the potential to expedite the goal of precision medicine, especially when combined with increased capacity for voluminous data...
3.
Chitnis T, Glanz B, Gonzalez C, Healy B, Saraceno T, Sattarnezhad N, et al.
NPJ Digit Med
. 2019 Dec;
2:123.
PMID: 31840094
Technological advances in passive digital phenotyping present the opportunity to quantify neurological diseases using new approaches that may complement clinical assessments. Here, we studied multiple sclerosis (MS) as a model...
4.
Ghandi M, Huang F, Jane-Valbuena J, Kryukov G, Lo C, McDonald 3rd E, et al.
Nature
. 2019 May;
569(7757):503-508.
PMID: 31068700
Large panels of comprehensively characterized human cancer models, including the Cancer Cell Line Encyclopedia (CCLE), have provided a rigorous framework with which to study genetic variants, candidate targets, and small-molecule...
5.
Barretina J, Caponigro G, Stransky N, Venkatesan K, Margolin A, Kim S, et al.
Nature
. 2018 Dec;
565(7738):E5-E6.
PMID: 30559381
No abstract available.
6.
CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis
Badgeley M, Liu M, Glicksberg B, Shervey M, Zech J, Shameer K, et al.
Bioinformatics
. 2018 Oct;
35(9):1610-1612.
PMID: 30304439
Motivation: Radiologists have used algorithms for Computer-Aided Diagnosis (CAD) for decades. These algorithms use machine learning with engineered features, and there have been mixed findings on whether they improve radiologists'...
7.
Titano J, Badgeley M, Schefflein J, Pain M, Su A, Cai M, et al.
Nat Med
. 2018 Aug;
24(9):1337-1341.
PMID: 30104767
Rapid diagnosis and treatment of acute neurological illnesses such as stroke, hemorrhage, and hydrocephalus are critical to achieving positive outcomes and preserving neurologic function-'time is brain'. Although these disorders are...
8.
Zech J, Pain M, Titano J, Badgeley M, Schefflein J, Su A, et al.
Radiology
. 2018 Jan;
287(2):570-580.
PMID: 29381109
Purpose To compare different methods for generating features from radiology reports and to develop a method to automatically identify findings in these reports. Materials and Methods In this study, 96...
9.
Chapeau E, Gembarska A, Durand E, Mandon E, Estadieu C, Romanet V, et al.
Proc Natl Acad Sci U S A
. 2017 Mar;
114(12):3151-3156.
PMID: 28265066
Inhibitors of double minute 2 protein (MDM2)-tumor protein 53 (TP53) interaction are predicted to be effective in tumors in which the gene is wild type, by preventing TP53 protein degradation....
10.
Horn T, Ferretti S, Ebel N, Tam A, Ho S, Harbinski F, et al.
Cancer Res
. 2016 Sep;
76(23):6950-6963.
PMID: 27659046
Like classical chemotherapy regimens used to treat cancer, targeted therapies will also rely upon polypharmacology, but tools are still lacking to predict which combinations of molecularly targeted drugs may be...