J
James J. Collins
Researcher at Massachusetts Institute of Technology
Publications - 700
Citations - 105255
James J. Collins is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Synthetic biology & Population. The author has an hindex of 151, co-authored 669 publications receiving 89476 citations. Previous affiliations of James J. Collins include Baylor College of Medicine & University at Albany, SUNY.
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Journal ArticleDOI
Predictive biology: modelling, understanding and harnessing microbial complexity.
TL;DR: This Review discusses key areas of predictive biology that are of growing interest to microbiology, the challenges associated with the innate complexity of microorganisms and the value of quantitative methods in making microbiology more predictable.
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Natural history of pulmonary function in collagen VI-related myopathies
R. Foley,Susana Quijano-Roy,James J. Collins,Volker Straub,M. McCallum,Nicolas Deconinck,Nicolas Deconinck,Eugenio Mercuri,Marika Pane,Adele D'Amico,Enrico Bertini,Kathryn N. North,Monique M. Ryan,Pascale Richard,Valérie Allamand,Valérie Allamand,Valérie Allamand,Debbie Hicks,Shireen R. Lamandé,Ying Hu,Francesca Gualandi,Sungyoung Auh,Francesco Muntoni,Carsten G. Bönnemann +23 more
TL;DR: This study demonstrates that pulmonary function profiles can be used in combination with motor function profiles to stratify collagen VI-related myopathy patients phenotypically, enabling proactive optimization of care and preparing this patient population for clinical trials.
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A CRISPR-based assay for the detection of opportunistic infections post-transplantation and for the monitoring of transplant rejection
Michael M. Kaminski,Michael M. Kaminski,Michael M. Kaminski,Miguel A. Alcantar,Isadora T. Lape,Robert Greensmith,Robert Greensmith,Allison C. Huske,Jacqueline A. Valeri,Jacqueline A. Valeri,Francisco M. Marty,Verena Klämbt,Jamil Azzi,Enver Akalin,Leonardo V. Riella,James J. Collins,James J. Collins,James J. Collins +17 more
TL;DR: A fast and inexpensive assay based on CRISPR–Cas13 accurately detects the DNA of opportunistic viruses in blood and urine samples as well as an mRNA marker of renal transplant rejection in urine samples and should facilitate point-of-care post-transplantation monitoring.
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Hegemonic Practice: Literacy and Standard Language in Public Education.
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Using deep learning for dermatologist-level detection of suspicious pigmented skin lesions from wide-field images.
Luis R. Soenksen,Timothy Kassis,Susan T. Conover,Berta Marti-Fuster,Judith S. Birkenfeld,Jason M. Tucker-Schwartz,Asif Naseem,Robert Stavert,Robert Stavert,Robert Stavert,Caroline C. Kim,Caroline C. Kim,Maryanne M. Senna,José A. Avilés-Izquierdo,James J. Collins,Regina Barzilay,Martha L. Gray +16 more
TL;DR: An SPL analysis system for wide-field images using deep convolutional neural networks (DCNNs) and a new method to extract intrapatient lesion saliency (ugly duckling criteria) on the basis of DCNN features from detected lesions are presented.