Identification of sepsis-associated encephalopathy biomarkers through machine learning and bioinformatics approaches by Jingchao Lei, Jia Zhai, Jing Qi, Chuanzheng Sun

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Eight quick tips for biologically and medically informed machine learning. by Luca Oneto, Davide Chicco

“…While the application of informed machine learning to bioinformatics and health informatics datasets has become more seamless, the likelihood of errors has also increased. …”
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Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods by Qingde Zhou, Lan Lan, Wei Wang, Xinchang Xu

“…The study also highlights the potential of machine learning and bioinformatics analysis in identifying new biomarkers for autoimmune diseases. …”
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Differential expression of plasma proteins and pathway enrichments in pediatric diabetic ketoacidosis by Paolo Spagnolo, Enis Cela, Maitray A. Patel, David Tweddell, Mark Daley, Cheril Clarson, Saverio Stranges, Gediminas Cepinskas, Douglas D. Fraser

“…Data analysis was performed using multivariate statistics, machine learning, and bioinformatics. Results This study identified 214 differentially expressed proteins (162 upregulated, 52 downregulated; adj P < 0.05 and a fold change > 2), reflecting cellular dysfunction and metabolic stress in severe DKA. …”
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