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Transcriptomes of the tumor-adjacent normal tissues are more informative than tumors in predicting recurrence in colorectal cancer patients.
In Journal of translational medicine
BACKGROUND :
RESULTS :
CONCLUSIONS :
Kim Jinho, Kim Hyunjung, Lee Min-Seok, Lee Heetak, Kim Yeon Jeong, Lee Woo Yong, Yun Seong Hyeon, Kim Hee Cheol, Hong Hye Kyung, Hannenhalli Sridhar, Cho Yong Beom, Park Donghyun, Choi Sun Shim
2023-Mar-21
Colorectal cancer, Elastic net-based machine learning, Normal tissues adjacent to tumors, Recurrence, Tumor-infiltrating immune cells

Use of machine learning-based integration to develop a monocyte differentiation-related signature for improving prognosis in patients with sepsis.
In Molecular medicine (Cambridge, Mass.)
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Ning Jingyuan, Sun Keran, Wang Xuan, Fan Xiaoqing, Jia Keqi, Cui Jinlei, Ma Cuiqing
2023-Mar-20
EVL, Machine learning, Prognosis, Sepsis, Single cell

Intensive care photoplethysmogram datasets and machine-learning for blood pressure estimation: Generalization not guarantied.
In Frontiers in physiology
Weber-Boisvert Guillaume, Gosselin Benoit, Sandberg Frida
2023
BP estimation, PPG datasets, PPG-BP, UCI, blood pressure estimation, intensive care datasets, mimic, photoplethysmography

Using machine learning to identify early predictors of adolescent emotion regulation development.
In Journal of research on adolescence : the official journal of the Society for Research on Adolescence
Van Lissa Caspar J, Beinhauer Lukas, Branje Susan, Meeus Wim H J
2023-Mar-20
adolescence, emotion regulation, machine learning, random forests, theory formation

Obstacles to effective model deployment in healthcare.
In Journal of bioinformatics and computational biology
Chan Wei Xin, Wong Limsoon
2023-Mar-18
Clinical prediction models, deployment, machine learning

Asynchrony rescues statistically optimal group decisions from information cascades through emergent leaders.
In Royal Society open science
Reina Andreagiovanni, Bose Thomas, Srivastava Vaibhav, Marshall James A R
2023-Mar
Bayesian brain, collective decision-making, emergent leaders, information cascades
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