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Using deep learning to identify translational research in genomic medicine beyond bench to bedside

2019 Database: The Journal of Biological Databases and Curation  
In this work, we utilize state-of-the-art machine learning approaches to identify translational research in genomics beyond bench to bedside from the biomedical literature.  ...  Our approaches provide direct insight into the automated curation of genomic translational research beyond bench to bedside.  ...  Funding Intramural Research Programs of the National Institutes of Health, National Library of Medicine. Conflict of interest. None declared.  ... 
doi:10.1093/database/baz010 pmid:30753477 pmcid:PMC6367517 fatcat:zuclgwqbv5h6xkatiqocwano6a

Challenges in Translational Research: The Views of Addiction Scientists

Jenny E. Ostergren, Rachel R. Hammer, Molly J. Dingel, Barbara A. Koenig, Jennifer B. McCormick, Kent E. Vrana
2014 PLoS ONE  
However, scientists also pointed to the inherent pressures they feel to quickly translate their research findings into actual clinical or public health use.  ...  Results: Most scientists described a direct translational route for their research, positing that their research will have significant societal benefits, leading to advances in treatment and novel prevention  ...  Acknowledgments The authors wish to thank Yichen Chiu, Leona Han, Katie James, Marguerite Robinson, and the anonymous peer-reviewers for their helpful feedback on an early version of this paper.  ... 
doi:10.1371/journal.pone.0093482 pmid:24705385 pmcid:PMC3976268 fatcat:zdnaodwgrrgxloch5xi6vefliq

Genomics in precision medicine

S. Shivani
2022 International Journal of Health Sciences  
PM is a long-term endeavour, including the National Institute of Health (NIH) and multiple other research centres were pioneers in funding and conducting cutting edge research related to PM.  ...  The term Precision Medicine (PM) gained significant attention in the field of drug discovery.  ...  Expanding beyond the traditional "Bench to Bedside" model would play an inevitable role in bridging the gaps in designing customized medications and narrow down not only the adverse effects on heath resources  ... 
doi:10.53730/ijhs.v6ns3.7234 fatcat:6byyknjqkbcyfhg6kapj4xn524

Opportunities for artificial intelligence in advancing precision medicine [article]

Fabian V. Filipp
2019 arXiv   pre-print
The goal of this work is to show progress in ML in digital health, to exemplify future needs and trends, and to identify any essential prerequisites of AI and ML for precision health.  ...  Machine learning (ML), deep learning (DL), and artificial intelligence (AI) are of increasing importance in biomedicine.  ...  Such bench-to-bedside models can provide real-time drug response predictions and often create of massive knowledge banks accessible to ML workup.  ... 
arXiv:1911.07125v1 fatcat:6qtnyy5prvewlpqp3wuiv45cji

Global genomic knowledge sharing — A call for affirmative action

Barash Carol Isaacson
2014 Applied and Translational Genomics  
The authors demonstrate why translational genomic research needs to go beyond the traditional "bench to bedside" model to include improvements in healthcare and disease prevention.  ...  We begin with Scully and Khoury's 'What is Translational Genomics? Going Beyond the Bedside to Improving Individual and Population Health'.  ... 
doi:10.1016/j.atg.2014.09.014 fatcat:jgpvct7qxvau5ckaqosagecwkq

Translational precision medicine: an industry perspective

Dominik Hartl, Valeria de Luca, Anna Kostikova, Jason Laramie, Scott Kennedy, Enrico Ferrero, Richard Siegel, Martin Fink, Sohail Ahmed, John Millholland, Alexander Schuhmacher, Markus Hinder (+2 others)
2021 Journal of Translational Medicine  
This paradigm shift comes with a need for both translation and precision, leading to a modern Translational Precision Medicine approach to drug discovery and development.  ...  Critical to this transformation is the adoption of new technologies in the drug development process, catalyzing the transition from serendipity-driven to data-driven medicine.  ...  Critical success factors for Translational Precision Medicine are (i) the translation of mechanisms from research to early clinical development (forward translation/bench-to-bedside), (ii) the back-translation  ... 
doi:10.1186/s12967-021-02910-6 pmid:34090480 fatcat:76rpj3jyybhvvavsas6rx5z6oa

Re-examining physician-scientist training through the prism of the discovery-invention cycle

Gopal P. Sarma, Allan Levey, Victor Faundez
2019 F1000Research  
We argue that the linear model of "bench-to-bedside" research, which is also reflected in the present training of MD/PhDs, merits continual re-evaluation to capitalize on the richness of opportunities  ...  arising in clinical medicine.  ...  Acknowledgements We would like to thank Venkatesh Narayanamurti, Erik Reinersten, and several anonymous referees for insightful conversations and feedback prior to submission to F1000Research.  ... 
doi:10.12688/f1000research.21448.1 pmid:32089830 pmcid:PMC7014578 fatcat:hlemeidkcvgijczhq6ag23gxdu

Mapping the Ethics of Translational Genomics: Situating Return of Results and Navigating the Research-Clinical Divide

Susan M Wolf, Wylie Burke, Barbara A Koenig
2015 Journal of Law, Medicine & Ethics  
This paper pioneers a new approach to the ethics of translational genomics.  ...  return of results can play in advancing translation.  ...  of translational science and particularly the rapid progress of translational genomics, has led to a deeper understanding of the multistage pathway from bench to bedside, to clinical integration and implementation  ... 
doi:10.1111/jlme.12291 pmid:26479558 pmcid:PMC4620583 fatcat:aof5c5wf55e55iedjkvbw5ne7y

Opportunities for Artificial Intelligence in Advancing Precision Medicine

Fabian V. Filipp
2019 Current Genetic Medicine Reports  
We critically evaluate the future potential of machine learning (ML), deep learning (DL), and artificial intelligence (AI) in precision medicine.  ...  The goal of this work is to show progress in ML in digital health, to exemplify future needs and trends, and to identify any essential prerequisites of AI and ML for precision health.  ...  Such bench-to-bedside models can provide real-time drug response predictions and often create massive knowledge banks accessible to ML workup.  ... 
doi:10.1007/s40142-019-00177-4 pmid:31871830 pmcid:PMC6927552 fatcat:yd5aqpfisbfzlf2o2dvhh7uq2i

1000 Genomes: on the road to personalized medicine

Amy L McGuire
2008 Personalized Medicine  
Personal genome companies like 23andMe, Navigenics and deCODEme are significantly speeding the translation in genome research from bench to bedside.  ...  Current state of genomic research The Human Genome Project took 13 years and US$2.7 billion to complete [104] .  ... 
doi:10.2217/17410541.5.3.195 pmid:20041040 pmcid:PMC2798741 fatcat:33tkky2z2nh37h7dlaxxavegcm

Looking beyond the hype: Applied AI and machine learning in translational medicine

Tzen S. Toh, Frank Dondelinger, Dennis Wang
2019 EBioMedicine  
Both new and old techniques of artificial intelligence (AI) and machine learning (ML) can now help increase the success of translational studies in three areas: drug discovery, imaging, and genomic medicine  ...  Overcoming these limitations will enable ML methods to be more powerful for discovery and reduce ambiguity within translational medicine, allowing data-informed decision-making to deliver the next generation  ...  We confirm that the funders had no role in paper design, data collection, data analysis, interpretation, and writing of the paper.  ... 
doi:10.1016/j.ebiom.2019.08.027 pmid:31466916 pmcid:PMC6796516 fatcat:zn5cdabaabfafnyom7csumj5y4

Translational Bioinformatics: Past, Present, and Future

Jessica D. Tenenbaum
2016 Genomics, Proteomics & Bioinformatics  
Though a relatively young discipline, translational bioinformatics (TBI) has become a key component of biomedical research in the era of precision medicine.  ...  Development of high-throughput technologies and electronic health records has caused a paradigm shift in both healthcare and biomedical research.  ...  Acknowledgments This work was supported in part by the Clinical and Translational Science Award (Grant No. UL1TR001117) to Duke University from the National Institutes of Health (NIH), United States.  ... 
doi:10.1016/j.gpb.2016.01.003 pmid:26876718 pmcid:PMC4792852 fatcat:he67bcd2xzh5hnj7t3qp65koi4

Position Paper Computational Cardiology

Lambros Athanasiou, Farhad Rikhtegar Nezami, Elazer R. Edelman
2019 IEEE journal of biomedical and health informatics  
We focus on the means by which to leverage and coalesce these multiple disciplines to advance translational science and computational cardiology.  ...  This article highlights existing methods, practices, and computational models and proposes new strategies to support a multidisciplinary effort in this space.  ...  Acknowledgments This work was funded in part an R01 from the US National Institutes of Health (GM 49039) awarded to ERE and an award to LA from the George & Marie Vergottis Foundation through Harvard Medical  ... 
doi:10.1109/jbhi.2018.2877044 fatcat:vswnlwmpk5esvlp6wrs5hwybuy

Integration of imaging biomarkers into systems biomedicine: a renaissance for medical imaging

Giovanni Lucignani, Emanuele Neri
2019 Clinical and translational imaging  
The terms "Systems biomedicine", "Systems medicine" were used for bibliographic search in Pubmed and Web of sciences.  ...  Systems biomedicine consists in the integration of biosciences, medicine and computer sciences.  ...  The future of systems biology and medicine hinges on the circular process "bedside-bench-bedside" determined by a clinical demand and followed by investigation and data elaboration by biologists, biostatisticians  ... 
doi:10.1007/s40336-019-00320-9 fatcat:sqd7xiiiwbfofk4zfnhx7blwpi

A road map to Translational Medicine in Qatar and a model for the world

Francesco M Marincola, Javaid I Sheikh
2012 Journal of Translational Medicine  
care to Qatari residents while participating in the worldwide quest to bridge the gap between bench-to-bedside-to-community.  ...  Translational Medicine (TM) in Qatar is part of a concerted effort of the Qatari medical and scientific leadership supported by a strong political will by Qatari authorities to deliver world-class health  ...  address the specific needs of Qatar and the region", translational research "bridges the gap between bench-to-bedside-and-back to better understand disease epidemiology and specific characteristics in  ... 
doi:10.1186/1479-5876-10-177 pmid:22929646 pmcid:PMC3436734 fatcat:yxfnk44rsndqnezbw6h4s5azrq
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