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Predicting falls and injuries in people with multiple sclerosis using machine learning algorithms.
In Multiple sclerosis and related disorders
Piryonesi S Madeh, Rostampour Sorour, Piryonesi S Abdurrahman
2021-Jan-07
Fall prediction, Injury, Machine learning, Model evaluation, Multiple sclerosis

The relevance to social interaction modulates bistable biological-motion perception.
In Cognition
Han Qiu, Wang Ying, Jiang Yi, Bao Min
2021-Jan-12
Biological motion, Bistable perception, Facing bias, Social cognition, Social interaction

ELASPIC2 (EL2): Combining contextualized language models and graph neural networks to predict effects of mutations.
In Journal of molecular biology ; h5-index 65.0
Strokach Alexey, Yu Lu Tian, Kim Philip M
2021-Jan-12
Variant effect prediction, affinity prediction, graph convolutional neural network, machine learning, stability prediction

Brain lipidomics as a rising field in neurodegenerative contexts: Perspectives with Machine Learning approaches.
In Frontiers in neuroendocrinology ; h5-index 44.0
Báez Castellanos Daniel, Martín-Jiménez Cynthia A, Rojas-Rodríguez Felipe, Barreto George, González Santos Janneth
2021-Jan-12
Alzheimer’s Disease(5), Fatty acids(4), Lipidomics(2), Machine Learning(3), Multiple Sclerosis(7), Neurodegeneration(1), Parkinson Disease(6)

Machine Learning Applied to Determine the Molecular Descriptors Responsible for the Viscosity Behavior of Concentrated Therapeutic Antibodies.
In Molecular pharmaceutics ; h5-index 60.0
Lai Pin-Kuang, Fernando Amendra, Cloutier Theresa K, Gokarn Yatin, Zhang Jifeng, Schwenger Walter, Chari Ravi, Calero-Rubio Cesar, Trout Bernhardt L
2021-Jan-15
intermolecular interactions, machine learning, molecular modeling, therapeutic antibodies, viscosity

A systems-level gene regulatory network model for Plasmodium falciparum.
In Nucleic acids research ; h5-index 217.0
Neal Maxwell L, Wei Ling, Peterson Eliza, Arrieta-Ortiz Mario L, Danziger Samuel A, Baliga Nitin S, Kaushansky Alexis, Aitchison John D
2021-Jan-15
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