Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.
Clinical validation of a machine-learning derived signature predictive of outcomes from first-line oxaliplatin-based chemotherapy in advanced colorectal cancer.
In Clinical cancer research : an official journal of the American Association for Cancer Research
PURPOSE :
EXPERIMENTAL DESIGN :
RESULTS :
CONCLUSIONS :
Abraham Jim P, Magee Daniel, Cremolini Chiara, Antoniotti Carlotta, Halbert David D, Xiu Joanne, Stafford Phillip, Berry Donald A, Oberley Matthew J, Shields Anthony F, Marshall John L, Salem Mohamed E, Falcone Alfredo, Grothey Axel, Hall Michael J, Venook Alan P, Lenz Heinz-Josef, Helmstetter Anthony, Korn W Michael, Spetzler David B
2020-Dec-08

Identifying Patients at Risk for Diaphragm Atrophy During Mechanical Ventilation Using Routinely Available Clinical Data.
In Respiratory care ; h5-index 37.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Urner Martin, Mitsakakis Nicholas, Vorona Stefannie, Chen Lu, Sklar Michael C, Dres Martin, Rubenfeld Gordon D, Brochard Laurent J, Ferguson Niall D, Fan Eddy, Goligher Ewan C
2020-Dec-08
diaphragm atrophy, diaphragm thickening, diaphragm thickening fraction, machine learning, random forest, spontaneous breathing

Neuronal differentiation strategies: insights from single-cell sequencing and machine learning.
In Development (Cambridge, England)
Konstantinides Nikolaos, Desplan Claude
2020-Dec-08
In vitro differentiation, Machine learning, Neuronal development, Neuronal differentiation protocols, Neuronal replacement therapy, Single-cell sequencing
An 8-layer residual U-Net with deep supervision for segmentation of the left ventricle in cardiac CT angiography.
In Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
Li Changling, Song Xiangfen, Zhao Hang, Feng Li, Hu Tao, Zhang Yuchen, Jiang Jun, Wang Jianan, Xiang Jianping, Sun Yong
2020-Nov-26
Cardiac CT angiography, Deep learning, Deep supervision, Left ventricle segmentation, Residual U-Net
Cardiac magnetic resonance image diagnosis of hypertrophic obstructive cardiomyopathy based on a double-branch neural network.
In Computer methods and programs in biomedicine
OBJECTIVE :
METHOD :
RESULT :
CONCLUSION :
You Yuanbing, Viktorovich Lysenko Andrey, Qiu Jiawei, Nikolaevich Kosenkov Alexander, Vladimirovich Belov Yuri
2020-Nov-28
Cardiac magnetic resonance imaging, Cardiomyopathy recognition, Deep learning, Double-branch Network, Hypertrophic obstructive cardiomyopathy
Radiomics-based machine-learning method for prediction of distant metastasis from soft-tissue sarcomas.
In Clinical radiology
AIM :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Tian L, Zhang D, Bao S, Nie P, Hao D, Liu Y, Zhang J, Wang H
2020-Dec-05
Weekly Summary
Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.