124. Cervical deformity score: a composite alignment tool to optimize outcomes while mitigating complications

Abstract BioCyc.org is a microbial genome Web portal that combines thousands of genomes with additional information inferred by computer programs, imported from other databases and curated from the biomedical literature by biologist curators. BioCyc also provides an extensive range of query tools, visualization services and analysis software. Recent advances in BioCyc include an expansion in the content of BioCyc in terms of both the number of genomes and the types of information available for each genome; an expansion in the amount of curated content within BioCyc; and new developments in the BioCyc software tools including redesigned gene/protein pages and metabolite pages; new search tools; a new sequence-alignment tool; a new tool for visualizing groups of related metabolic pathways; and a facility called SmartTables, which enables biologists to perform analyses that previously would have required a programmer’s assistance.

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Predicting the occurrence of complications following corrective cervical deformity surgery: Analysis of a prospective multicenter database using predictive analytics

Journal of Clinical Neuroscience ◽

10.1016/j.jocn.2018.10.111 ◽

2019 ◽

Vol 59 ◽

pp. 155-161 ◽

Cited By ~ 3

Author(s):

Peter G. Passias ◽

Cheongeun Oh ◽

Samantha R. Horn ◽

Han Jo Kim ◽

D. Kojo Hamilton ◽

...

Keyword(s):

Predictive Analytics ◽

Cervical Deformity

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Commentary: Recovery Kinetics: Comparison of Patients Undergoing Primary or Revision Procedures for Adult Cervical Deformity Using a Novel Area Under the Curve Methodology

Neurosurgery ◽

10.1093/neuros/nyy448 ◽

2018 ◽

Vol 85 (5) ◽

pp. E955-E956

Author(s):

Jetan H Badhiwala ◽

Michael G Fehlings

Keyword(s):

Area Under The Curve ◽

Cervical Deformity

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Enabling Technology for Remote Prosthetic Alignment Tuning

Military Medicine ◽

10.1093/milmed/usaa453 ◽

2021 ◽

Vol 186 (Supplement_1) ◽

pp. 659-664

Author(s):

David A Boone ◽

Sarah R Chang

Keyword(s):

Machine Learning ◽

Learning Algorithm ◽

Three Dimensional ◽

Coordinate Measuring Machine ◽

Software Application ◽

Prosthetic Socket ◽

Prosthetic Alignment ◽

Prosthesis Alignment ◽

Alignment Tool ◽

Measuring Machine

ABSTRACT Introduction This research has resulted in a system of sensors and software for effectively adjusting prosthetic alignment with digital numeric control. We called this suite of technologies the Prosthesis Smart Alignment Tool (ProSAT) system. Materials and Methods The ProSAT system has three components: a prosthesis-embedded sensor, an alignment tool, and an Internet-connected alignment expert system application that utilizes machine learning to analyze prosthetic alignment. All components communicate via Bluetooth. Together, they provide for numerically controlled prosthesis alignment adjustment. The ProSAT components help diagnose and guide the correction of very subtle, difficult-to-see imbalances in dynamic gait. The sensor has been cross-validated against kinetic measurement in a gait laboratory, and bench testing was performed to validate the performance of the tool while adjusting a prosthetic socket based on machine learning analyses from the software application. Results The three-dimensional alignment of the prosthetic socket was measured pre- and postadjustment from two fiducial points marked on the anterior surface of the prosthetic socket. A coordinate measuring machine was used to derive an alignment angular offset from vertical for both conditions: pre- and postalignment conditions. Of interest is the difference in the angles between conditions. The ProSAT tool is only controlling the relative change made to the alignment, not an absolute position or orientation. Target alignments were calculated by the machine learning algorithm in the ProSAT software, based on input of kinetic data samples representing the precondition and where a real prosthetic misalignment condition was known a priori. Detected misalignments were converted by the software to a corrective adjustment in the prosthesis alignment being tested. We demonstrated that a user could successfully and quickly achieve target postalignment change within an average of 0.1°. Conclusions The accuracy of a prototype ProSAT system has been validated for controlled alignment changes by a prosthetist. Refinement of the ergonomic form and technical function of the hardware and clinical usability of the mobile software application are currently being completed with benchtop experiments in advance of further human subject testing of alignment efficiency, accuracy, and user experience.

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VirusDIP: Virus Data Integration Platform

10.1101/2020.06.08.139451 ◽

2020 ◽

Cited By ~ 1

Author(s):

Lina Wang ◽

Fengzhen Chen ◽

Xueqin Guo ◽

Lijin You ◽

Xiaoxia Yang ◽

...

Keyword(s):

Sequence Alignment ◽

Sequence Data ◽

Data Retrieval ◽

Viral Sequence ◽

Origin And Evolution ◽

Alignment Tool ◽

Public Data ◽

Virus Research ◽

Global Initiative ◽

Tree Building

AbstractMotivationThe Coronavirus Disease 2019 (COVID-19) pandemic poses a huge threat to human public health. Viral sequence data plays an important role in the scientific prevention and control of epidemics. A comprehensive virus database will be vital useful for virus data retrieval and deep analysis. To promote sharing of virus data, several virus databases and related analyzing tools have been created.ResultsTo facilitate virus research and promote the global sharing of virus data, we present here VirusDIP, a one-stop service platform for archive, integration, access, analysis of virus data. It accepts the submission of viral sequence data from all over the world and currently integrates data resources from the National GeneBank Database (CNGBdb), Global initiative on sharing all influenza data (GISAID), and National Center for Biotechnology Information (NCBI). Moreover, based on the comprehensive data resources, BLAST sequence alignment tool and multi-party security computing tools are deployed for multi-sequence alignment, phylogenetic tree building and global trusted sharing. VirusDIP is gradually establishing cooperation with more databases, and paving the way for the analysis of virus origin and evolution. All public data in VirusDIP are freely available for all researchers worldwide.Availabilityhttps://db.cngb.org/virus/[email protected]

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