AIMC Topic: Big Data

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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...

Machine learning on small size samples: A synthetic knowledge synthesis.

Science progress
Machine Learning is an increasingly important technology dealing with the growing complexity of the digitalised world. Despite the fact, that we live in a 'Big data' world where, almost 'everything' is digitally stored, there are many real-world situ...

Application of Artificial Intelligence and Machine Learning in Drug Discovery.

Methods in molecular biology (Clifton, N.J.)
Machine Learning (ML) and Deep Learning (DL) are two subclasses of Artificial Intelligence (AI), that, in this day and age of big data provides significant opportunities to pharmaceutical discovery research and development by translating data to info...

[Artificial intelligence and big data in healthcare: Cineca's experience.].

Recenti progressi in medicina
Big data and artificial intelligence are extremely useful tools for improving care pathways and for designing and evaluating preventive medicine and health promotion strategies. The paper describes Cineca's projects that use artificial intelligence t...