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sophisticated machine learning (Deepmind Technologies Ltd)

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Deepmind Technologies Ltd sophisticated machine learning
Sophisticated Machine Learning, supplied by Deepmind Technologies Ltd, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/learning/learning+machine/pm42247564-216-15-6
Average 86 stars, based on 1 article reviews

sophisticated machine learning - by Bioz Stars, 2026-09

86/100 stars

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Modification:

Article Title: Knowledge bot as a service
Article Snippet: .. In some embodiments, the AI module 206 may include a machine learning model (e.g., a large language model such as ChatGPT, Bard, DALL-E, Midjourney, DeepMind, etc.) that is configured to generate a response for the user query 232 based on the modified query 244, the documents 246 and the context 242. ..

Variant Assay:

Article Title: Functional Screening of NDUFAF6 Variants in Knockout Cells and Complementary Computational Analysis
Article Snippet: .. In addition, we independently retrieved AlphaMissense predictions ( https://alphamissense.deepmind.com/ ) [ ], a recent deep learning‐based tool trained on variant pathogenicity data and considered one of the most accurate predictors currently available. ..

In Silico:

Article Title: Computationally-designed aptamers targeting RAD51-BRCA2 interaction impair homologous recombination and induce synthetic lethality
Article Snippet: .. The AlphaFold 3 deep-learning framework developed by Google DeepMind and Isomorphic Labs (available as a web server at https://alphafoldserver.com/about ) was used to obtain a first in silico validation of the aptamers specificity for RAD51 pockets. ..

Article Title: Computationally-designed aptamers targeting RAD51-BRCA2 interaction impair homologous recombination and induce synthetic lethality.
Article Snippet: .. The AlphaFold 3 deep-learning framework developed by Google DeepMind and Isomorphic Labs (available as a web server at https://alphafoldserver.com/about) was used to obtain a first in silico validation of the aptamers specificity for RAD51 pockets. ..

Biomarker Discovery:

Article Title: Acute kidney injury: Detection, risk stratification, and predictive biomarkers.
Article Snippet: Background: Acute kidney injury (AKI) is a complex multifactorial syndrome characterized by a rapid decline in kidney function, frequently observed in hospitalized and critically ill patients.. Despite its high morbidity and mortality, current diagnostic criteria—based primarily on serum creatinine and urine output—are delayed and non-specific, limiting early detection and timely intervention.. Content: Over the past two decades, extensive research has led to the discovery and validation of a diverse array of AKI biomarkers that reflect distinct pathophysiological mechanisms, including tubular cell injury (e.g., NGAL, KIM-1), inflammation (e.g., IL-18, CCL-2 and CCL14), oxidative stress (e.g., L-FABP), cell cycle arrest (e.g., TIMP2⋅IGFBP7), and endothelial dysfunction (e.g., suPAR).