scholarly journals Development of a standardized histopathology scoring system using machine learning algorithms for intervertebral disc degeneration in the mouse model—An ORS spine section initiative

JOR Spine ◽  
2021 ◽  
Author(s):  
Itzel Paola Melgoza ◽  
Srish S. Chenna ◽  
Steven Tessier ◽  
Yejia Zhang ◽  
Simon Y. Tang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Mouse Model ◽  
Intervertebral Disc ◽  
Disc Degeneration ◽  
Scoring System ◽  
Intervertebral Disc Degeneration ◽  
Learning Algorithms ◽  
Machine Learning Algorithms

scholarly journals Ligustrazine Prevents Intervertebral Disc Degeneration via Suppression of Aberrant TGFβ Activation in Nucleus Pulposus Cells

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Shufen Liu ◽  
Yuhao Cheng ◽  
Yuqi Tan ◽  
Jingcheng Dong ◽  
Qin Bian
Keyword(s):  
Growth Factor ◽  
Mouse Model ◽  
Intervertebral Disc ◽  
Nucleus Pulposus ◽  
Disc Degeneration ◽  
Intervertebral Disc Degeneration ◽  
Ex Vivo ◽  
Tissue Growth ◽  
Nucleus Pulposus Cells

Objectives. Aberrant transforming growth factor β (TGFβ) activation is detrimental to both nucleus pulposus (NP) cells and cartilage endplates (CEPs), which can lead to intervertebral disc degeneration (IDD). Ligustrazine (LIG) reduces the expression of inflammatory factors and TGFβ1 in hypertrophic CEP to prevent IDD. In this study, we investigate the effects of LIG on NP cells and the TGFβ signaling. Design. LIG was injected to the lumbar spinal instability (LSI) mouse model. The effect of LIG was evaluated by intervertebral disc (IVD) score in the LSI mouse model. The expression of activated TGFβ was examined using immunostaining with pSmad2/3 antibody. The upright posture (UP) rat model was also treated and evaluated in the same manner to assess the effect of LIG. In ex vivo study, IVDs from four-week old mice were isolated and treated with 10−5, 10−6, and 10−7 M of LIG. We used western blot to detect activated TGFβ expression. TGFβ-treated human nucleus pulposus cells (HNPCs) were cotreated with optimized dose of LIG in vitro. Immunofluorescence staining was performed to determine pSmad2/3, connective tissue growth factor (CCN2), and aggrecan (ACAN) expression levels. Results. IVD score and the percentage of pSmad2/3+ NP cells were low in LIG-treated LSI mice in comparison with LSI mice, but close to the levels in the Sham group. Similarly, LIG reduced the overexpression of TGFβ1 in NP cells. The inhibitory effect of LIG was dose dependent. A dose of 10−5 M LIG not only strongly attenuated Smad2/3 phosphorylation in TGFβ-treated IVD ex vivo but also suppressed pSmad2/3, CCN2, and ACAN expression in TGFβ-treated NP cells in vitro. Conclusions. LIG prevents IDD via suppression of TGFβ overactivation in NP cells.

scholarly journals Cricket Prediction using Machine Learning Algorithms

2020 ◽  
pp. 1128-1131
Author(s):  
Sudhanshu Akarshe ◽  
Rohit Khade ◽  
Nikhil Bankar ◽  
Prashant Khedkar ◽  
Prashant Ahire
Keyword(s):  
Machine Learning ◽  
Scoring System ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Accurate Prediction ◽  
Prediction System ◽  
Winning Team ◽  
Quantitative Results ◽  
The Masses ◽  
Player Performance

Cricket is most popular sport played in India. It has huge spectator support and the masses show great interest in predicting the outcome of games in their Test, One-day international as well as in T-20 matches. The game is having number of rules and scoring system. Numerous parameters are present such as, cricketing skills and performances, match venues which has significant effect on the outcome of a game. Such parameters, along with their interdependence create a challenge to create an accurate prediction of a game. In this project, we are going to build a rigid prediction system that takes in historical match data, player performance and predicts future match events such as final results in a victory or loss. Our system will perform this prediction using various machine learning algorithms. We describe our system and algorithms and finally present quantitative results displayed by best suited algorithm having highest accuracy. Also, representing the winning team even before the match starts and provide best suited squad of both teams.

Mechanics and Biology Interact in Intervertebral Disc Degeneration: A Novel Composite Mouse Model

2020 ◽  
Vol 106 (4) ◽  
pp. 401-414 ◽  
Author(s):  
Zhi-feng Xiao ◽  
Guo-yi Su ◽  
Yu Hou ◽  
Shu-dong Chen ◽  
Bing-de Zhao ◽  
...  
Keyword(s):  
Mouse Model ◽  
Intervertebral Disc ◽  
Disc Degeneration ◽  
Intervertebral Disc Degeneration

scholarly journals Development of a standardized histopathology scoring system for intervertebral disc degeneration in rat models: An initiative of the ORS spine section

JOR Spine ◽  
2021 ◽  
Author(s):  
Alon Lai ◽  
Jennifer Gansau ◽  
Sarah E. Gullbrand ◽  
James Crowley ◽  
Carla Cunha ◽  
...  
Keyword(s):  
Intervertebral Disc ◽  
Disc Degeneration ◽  
Scoring System ◽  
Intervertebral Disc Degeneration ◽  
Rat Models
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