Results 161 to 170 of about 576,260 (294)
Logistic regression and artificial neural network classification models: a methodology review
Stephan Dreiseitl, Lucila Ohno‐Machado
openalex +1 more source
Pischiutta F and coworkers identify prostaglandins and kynurenine as key mediators of the mesenchymal stromal cells‐derived secretome's neuroprotective effects. A synthetic cocktail composed of these factors promotes long‐term functional recovery, reduces brain structural damage, and modulates neuroinflammation after traumatic brain injury, supporting ...
Francesca Pischiutta+24 more
wiley +1 more source
The logistic model for predicting the non-gonoactive Aedes aegypti females [PDF]
Filiberto Reyes-Villanueva+1 more
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Biosecurity Primitive: Polymerase X‐based Genetic Physical Unclonable Functions
What if every cell line can carry an unforgeable genomic fingerprint—one that proves its origin, ensures its authenticity, and thwarts unauthorized duplication? Here, CRISPR‐induced DNA lesions paired with TdT‐mediated repair produce robust, unique, and unclonable genetic signatures—advancing the concept of molecular Physical Unclonable Functions (PUF)
Zikun Zhou+7 more
wiley +1 more source
Tissue Outcome Prediction in Patients with Proximal Vessel Occlusion and Mechanical Thrombectomy Using Logistic Models. [PDF]
Welle F+14 more
europepmc +1 more source
Study on Demand Estimation of Agricultural Machinery by Using Logistic Curve Function and Markov Chain Model [PDF]
Yeongchae Yun
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From Code to Life: The AI‐Driven Revolution in Genome Editing
This review explores AI‐driven advancements in genome editing, focusing on CRISPR optimization, enhanced targeting precision, reduced off‐target effects, and novel tool design. It addresses ethical challenges, data biases, and highlights future prospects in precision medicine, agriculture, and synthetic biology.
Zhidong Li+10 more
wiley +1 more source
Inverse Modeling of Complex Networks Using Embedded Complex Logistic Maps
Sandy Shaw+2 more
openalex +2 more sources
OC020: Prospective evaluation of a logistic model for the prediction of early pregnancy viability [PDF]
D. Ofili‐Yebovi+6 more
openalex +1 more source
The research indicates that dual energy CT scanning can accurately predict the stroke source and clinical outcomes by analyzing thrombus heterogeneity. Based on histopathological analysis of thrombus components, these scans are better able to display thrombus details than standard CT scans, which is helpful for the development of visual navigation ...
Jingxuan Jiang+15 more
wiley +1 more source