L
Laura Smith
Researcher at University of Toronto
Publications - 47
Citations - 1778
Laura Smith is an academic researcher from University of Toronto. The author has contributed to research in topics: Reinforcement learning & Social media. The author has an hindex of 19, co-authored 45 publications receiving 1278 citations. Previous affiliations of Laura Smith include University of California & California State University.
Papers
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Journal ArticleDOI
Ordering of mutations in preinvasive disease stages of esophageal carcinogenesis
Jamie M J Weaver,Caryn S. Ross-Innes,Nicholas B. Shannon,Andy G. Lynch,Tim Forshew,Mariagnese Barbera,Muhammed Murtaza,Chin-Ann Johnny Ong,Pierre Lao-Sirieix,Mark J Dunning,Laura Smith,Mike L. Smith,Charlotte Anderson,Benilton S. Carvalho,Maria O'Donovan,Timothy J. Underwood,Andrew May,Nicola Grehan,Richard H. Hardwick,Jim Davies,Arusha Oloumi,Samuel Aparicio,Carlos Caldas,Matthew D. Eldridge,Paul A.W. Edwards,Nitzan Rosenfeld,Simon Tavaré,Rebecca C. Fitzgerald +27 more
TL;DR: In conclusion, mutations in EAC driver genes generally occur exceptionally early in disease development with profound implications for diagnostic and therapeutic strategies.
Journal ArticleDOI
Ambroxol for the Treatment of Patients With Parkinson Disease With and Without Glucocerebrosidase Gene Mutations: A Nonrandomized, Noncontrolled Trial.
Stephen Mullin,Stephen Mullin,Laura Smith,Katherine Lee,Gayle D’Souza,Philip Woodgate,Josh Elflein,Jenny Hällqvist,Marco Toffoli,Adam Streeter,Joanne Hosking,Wendy E. Heywood,Rajeshree Khengar,Philip Campbell,Jason Hehir,Sarah Cable,Kevin Mills,Henrik Zetterberg,Patricia Limousin,Vincenzo Libri,Thomas Foltynie,Anthony H.V. Schapira +21 more
TL;DR: Ambroxol therapy has potential for study as a neuroprotective compound for the treatment of patients with Parkinson disease both with and without glucocerebrosidase gene mutations.
Journal ArticleDOI
Engineering Cellular Microenvironments with Photo- and Enzymatically Responsive Hydrogels: Toward Biomimetic 3D Cell Culture Models.
TL;DR: Progress is described in designing stimuli-responsive, optically transparent hydrogels that can be used as biomimetic extracellular matrices (ECMs) to study cell differentiation and migration in the context of modeling the nervous system and cancer.
Proceedings Article
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
TL;DR: In this article, a model-based RL method based on the linear-quadratic regulator (LQR) is used for learning representations that are suitable for iterative model-base policy improvement.
Journal ArticleDOI
Diels–Alder Click-Cross-Linked Hydrogels with Increased Reactivity Enable 3D Cell Encapsulation
Laura Smith,S. Maryamdokht Taimoory,Roger Y. Tam,Alexander E. G. Baker,Niema Binth Mohammad,John F. Trant,Molly S. Shoichet +6 more
TL;DR: Insight is gained into the mechanism of the increased Diels-Alder reactivity and an unexpected hydrogen-bonding interaction are important contributors to the observed rate enhancement, and this cross-linking strategy serves as a platform for bioconjugation and hydrogel synthesis for use in 3D cell culture and tissue engineering.