AI Medical Compendium Topic:
Big Data

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[Research progress of micronucleus visualization analysis and artificial intelligence detection strategy].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]
The micronucleomics test can comprehensively display a variety of harmful endpoints, such as DNA damage and repair, chromosome breakage or loss and cell growth inhibition, with fast, simple and economical feature. Micronucleomics is not only widely u...

Zero Sales Resistance: The Dark Side of Big Data and Artificial Intelligence.

Cyberpsychology, behavior and social networking
Big data (BD) is the hue and cry of modern science and society. The impact of such data deluge is huge and far reaching for both science and society. Moreover, given the effort required for collecting and analyzing these data, artificial intelligence...

Editorial Commentary: Big Data and Machine Learning in Medicine.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Recent research using machine learning and data mining to determine predictors of prolonged opioid use after arthroscopic surgery showed that Artificial Neural Networks showed superior discrimination and calibration. Other machine learning algorithms...

Big data and artificial intelligence (AI) methodologies for computer-aided drug design (CADD).

Biochemical Society transactions
There have been numerous advances in the development of computational and statistical methods and applications of big data and artificial intelligence (AI) techniques for computer-aided drug design (CADD). Drug design is a costly and laborious proces...

Harnessing of real-world data and real-world evidence using digital tools: utility and potential models in rheumatology practice.

Rheumatology (Oxford, England)
The diversity of diseases in rheumatology and variability in disease prevalence necessitates greater data parity in disease presentation, treatment responses including adverse events to drugs and various comorbidities. Randomized controlled trials ar...

The risk assessment on the security of industrial internet infrastructure under intelligent convergence with the case of G.E.'s intellectual transformation.

Mathematical biosciences and engineering : MBE
The industrial internet depends on the development of cloud computing, artificial intelligence, and big data analysis. Intelligent fusion is dependent on the architecture and security features of the industrial internet. Firstly, the paper studies th...

Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery.

Current topics in medicinal chemistry
BACKGROUND: The lengthy and expensive process of developing a novel medicine often takes many years and entails a significant financial burden due to its poor success rate. Furthermore, the processing and analysis of quickly expanding massive data ne...

Application of Artificial Intelligence in Drug Discovery.

Current pharmaceutical design
Due to the heap of data sets available for drug discovery, modern drug discovery has taken the shape of big data. Usage of Artificial intelligence (AI) can help to modify drug discovery based on big data to precised, knowledgeable data. The pharmaceu...