Journal: Nature Communications

Article Title: Phosphate-binding pocket on cyclin B governs CDK substrate phosphorylation and mitotic timing

doi: 10.1038/s41467-025-59700-7

Figure Lengend Snippet: a Aligned amino acid sequences of B-type cyclins, with cyan indicating the three basic residues that constitute the phosphate-binding pocket. These residues are not conserved in A-type cyclins. b (left) Growth curves of indicated yeast strains, with OD 600 recorded every 15 min. Data represent mean ± standard deviation (SD) of four independent biological replicates. (right) Growth rates calculated by fitting OD 600 /min to a logistic growth model. Data represent mean ± SD of four independent biological replicates. Statistical significance was determined using one-way analysis of variance (ANOVA) (**** p < 0.0001). c Representative differential interference contrast (DIC) microscopy images of the indicated yeast strains at mid-log phase in rich (YPD) media at 30 °C. Scale bar is 10 μm. Source data are provided as a Source Data file.

Article Snippet: Growth rate was quantified by fitting absorbance data to a Logistic Growth Model on Prism (Graphpad).

Techniques: Binding Assay, Standard Deviation, Microscopy

Journal: Journal of Alzheimer's disease : JAD

Article Title: Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer’s Disease: A Literature Review from a Machine Learning Perspective

doi: 10.3233/JAD-221261

Figure Lengend Snippet: Characteristics of reviewed literature on machine learning with NPS and AD biomarkers in context of brain aging

Article Snippet: Author/s Year Dataset Machine Learning Model Participant Information Key findings Gill et al. [ 23 ] 2020 ADNI Logistic Model Tree Age: 55–90 y Cognitive status: NC and MCI at baseline Study predicted future cognitive status using baseline clinical, neuropsychiatric, and structural MRI data.

Techniques: Diagnostic Assay

Journal: Journal of Alzheimer's disease : JAD

Article Title: Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer’s Disease: A Literature Review from a Machine Learning Perspective

doi: 10.3233/JAD-221261

Figure Lengend Snippet: Characteristics of reviewed literature on machine learning with NPS in context of brain aging

Article Snippet: Author/s Year Dataset Machine Learning Model Participant Information Key findings Gill et al. [ 23 ] 2020 ADNI Logistic Model Tree Age: 55–90 y Cognitive status: NC and MCI at baseline Study predicted future cognitive status using baseline clinical, neuropsychiatric, and structural MRI data.

Techniques:

Journal: Journal of Alzheimer's disease : JAD

Article Title: Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer’s Disease: A Literature Review from a Machine Learning Perspective

doi: 10.3233/JAD-221261

Figure Lengend Snippet: Characteristics of reviewed literature on machine learning and MRI biomarkers

Article Snippet: Author/s Year Dataset Machine Learning Model Participant Information Key findings Gill et al. [ 23 ] 2020 ADNI Logistic Model Tree Age: 55–90 y Cognitive status: NC and MCI at baseline Study predicted future cognitive status using baseline clinical, neuropsychiatric, and structural MRI data.

Techniques: Diagnostic Assay, Sampling, Biomarker Discovery, Comparison, Imaging, Transformation Assay

Journal: Journal of Alzheimer's disease : JAD

Article Title: Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer’s Disease: A Literature Review from a Machine Learning Perspective

doi: 10.3233/JAD-221261

Figure Lengend Snippet: Characteristics of reviewed literature on machine learning and PET biomarkers

Article Snippet: Author/s Year Dataset Machine Learning Model Participant Information Key findings Gill et al. [ 23 ] 2020 ADNI Logistic Model Tree Age: 55–90 y Cognitive status: NC and MCI at baseline Study predicted future cognitive status using baseline clinical, neuropsychiatric, and structural MRI data.

Techniques: Imaging, Diagnostic Assay

Journal: Journal of Alzheimer's disease : JAD

Article Title: Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer’s Disease: A Literature Review from a Machine Learning Perspective

doi: 10.3233/JAD-221261

Figure Lengend Snippet: Characteristics of reviewed literature on machine learning and fMRI biomarkers

Article Snippet: Author/s Year Dataset Machine Learning Model Participant Information Key findings Gill et al. [ 23 ] 2020 ADNI Logistic Model Tree Age: 55–90 y Cognitive status: NC and MCI at baseline Study predicted future cognitive status using baseline clinical, neuropsychiatric, and structural MRI data.

Techniques: Extraction, Biomarker Discovery, Functional Assay, Activity Assay, Diagnostic Assay

Journal: Journal of Alzheimer's disease : JAD

Article Title: Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer’s Disease: A Literature Review from a Machine Learning Perspective

doi: 10.3233/JAD-221261

Figure Lengend Snippet: Characteristics of reviewed literature on machine learning and multiple biomarkers

Article Snippet: Author/s Year Dataset Machine Learning Model Participant Information Key findings Gill et al. [ 23 ] 2020 ADNI Logistic Model Tree Age: 55–90 y Cognitive status: NC and MCI at baseline Study predicted future cognitive status using baseline clinical, neuropsychiatric, and structural MRI data.

Techniques: Comparison