Literature DB >> 29651188

Integrated Artificial Intelligence Approaches for Disease Diagnostics.

Rajat Vashistha1, Deepak Chhabra1, Pratyoosh Shukla2.   

Abstract

Mechanocomputational techniques in conjunction with artificial intelligence (AI) are revolutionizing the interpretations of the crucial information from the medical data and converting it into optimized and organized information for diagnostics. It is possible due to valuable perfection in artificial intelligence, computer aided diagnostics, virtual assistant, robotic surgery, augmented reality and genome editing (based on AI) technologies. Such techniques are serving as the products for diagnosing emerging microbial or non microbial diseases. This article represents a combinatory approach of using such approaches and providing therapeutic solutions towards utilizing these techniques in disease diagnostics.

Keywords:  Artificial intelligence; Computer aided diagnostics; Mechanobiology; Robotic surgery

Year:  2018        PMID: 29651188      PMCID: PMC5891472          DOI: 10.1007/s12088-018-0708-2

Source DB:  PubMed          Journal:  Indian J Microbiol        ISSN: 0046-8991            Impact factor:   2.461


  11 in total

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2.  A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery.

Authors:  Michele Tonutti; Gauthier Gras; Guang-Zhong Yang
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Review 3.  Delivery strategies of the CRISPR-Cas9 gene-editing system for therapeutic applications.

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4.  Predictable response: Finding optimal drugs and doses using artificial intelligence.

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Journal:  Nat Med       Date:  2017-11-07       Impact factor: 53.440

5.  Xylanase production from Thermomyces lanuginosus VAPS-24 using low cost agro-industrial residues via hybrid optimization tools and its potential use for saccharification.

Authors:  Vishal Kumar; Deepak Chhabra; Pratyoosh Shukla
Journal:  Bioresour Technol       Date:  2017-07-19       Impact factor: 9.642

Review 6.  Point-of-care (POC) devices by means of advanced MEMS.

Authors:  Stanislav L Karsten; Mehmet C Tarhan; Lili C Kudo; Dominique Collard; Hiroyuki Fujita
Journal:  Talanta       Date:  2015-04-23       Impact factor: 6.057

7.  Searching Biomarkers in the Sequenced Genomes of Staphylococcus for their Rapid Identification.

Authors:  Ravi Kumar; Shikha Koul; Prasun Kumar; Vipin Chandra Kalia
Journal:  Indian J Microbiol       Date:  2016-01-20       Impact factor: 2.461

8.  Proteomics analysis for finding serum markers of ovarian cancer.

Authors:  Yushan Cheng; Chongdong Liu; Nawei Zhang; Shengdian Wang; Zhenyu Zhang
Journal:  Biomed Res Int       Date:  2014-08-31       Impact factor: 3.411

9.  Click chemistry, 3D-printing, and omics: the future of drug development.

Authors:  Razelle Kurzrock; David J Stewart
Journal:  Oncotarget       Date:  2016-01-19

10.  Artificial neural network models for early diagnosis of hepatocellular carcinoma using serum levels of α-fetoprotein, α-fetoprotein-L3, des-γ-carboxy prothrombin, and Golgi protein 73.

Authors:  Bo Li; Boan Li; Tongsheng Guo; Zhiqiang Sun; Xiaohan Li; Xiaoxi Li; Lin Chen; Jing Zhao; Yuanli Mao
Journal:  Oncotarget       Date:  2017-07-17
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  3 in total

Review 1.  Smart diagnostics devices through artificial intelligence and mechanobiological approaches.

Authors:  Dinesh Yadav; Ramesh Kumar Garg; Deepak Chhabra; Rajkumar Yadav; Ashwani Kumar; Pratyoosh Shukla
Journal:  3 Biotech       Date:  2020-07-22       Impact factor: 2.406

Review 2.  Futuristic biosensors for cardiac health care: an artificial intelligence approach.

Authors:  Rajat Vashistha; Arun Kumar Dangi; Ashwani Kumar; Deepak Chhabra; Pratyoosh Shukla
Journal:  3 Biotech       Date:  2018-08-03       Impact factor: 2.406

Review 3.  Systems Biology Approaches for Therapeutics Development Against COVID-19.

Authors:  Shweta Jaiswal; Mohit Kumar; Yogendra Singh; Pratyoosh Shukla
Journal:  Front Cell Infect Microbiol       Date:  2020-10-28       Impact factor: 5.293

  3 in total

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