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Integrated knowledge mining, genome-scale modeling, and machine learning for predicting Yarrowia lipolytica bioproduction.
In Metabolic engineering
Czajka Jeffrey J, Oyetunde Tolutola, Tang Yinjie J
Computational strain design, FBA, Machine learning, Pathway bottlenecks, Yarrowia lipolytica
ncRDense: A novel computational approach for classification of non-coding RNA family by deep learning.
Chantsalnyam Tuvshinbayar, Siraj Arslan, Tayara Hilal, Chong Kil To
Classification, Deep learning, Densenet, Feature encoding, Non-coding RNA
The effect of cardiac rhythm on artificial intelligence-enabled ECG evaluation of left ventricular ejection fraction prediction in cardiac intensive care unit patients.
In International journal of cardiology ; h5-index 68.0
Kashou Anthony H, Noseworthy Peter A, Lopez-Jimenez Francisco, Attia Zachi I, Kapa Suraj, Friedman Paul A, Jentzer Jacob C
Artificial intelligence, Atrial fibrillation, Cardiac intensive care unit, Echocardiography, Electrocardiogram, Left ventricular systolic dysfunction
In Current protocols
Salama Ola E, Gerstein Aleeza C
Candida, R, drug response, image analysis, orbit
Do AI models recognise rare, aggressive skin cancers? An assessment of a direct-to-consumer app in the diagnosis of Merkel cell carcinoma and amelanotic melanoma.
In Journal of the European Academy of Dermatology and Venereology : JEADV
Steele L, Velazquez-Pimentel D, Thomas B R
Amelanotic, Artificial Intelligence, Machine Learning, Melanoma, Mobile Applications, Reproducibility of Results, Skin Neoplasms
BERM: a Belowground Ecosystem Resiliency Model for estimating Spartina alterniflora belowground biomass.
In The New phytologist
O’Connell Jessica L, Mishra Deepak R, Alber Merryl, Byrd Kristin B
\nSporobolus alterniflorus, Georgia Coastal Ecosystems LTER, PhenoCam, machine learning, phenology, productivity, tidal salt marsh, wetland