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Genomics Quotes

Browse 13 quotes about Genomics.

Genomics Quotes

“Pilots used to fly planes manually, but now they operate a dashboard with the help of computers. This has made flying safer and improved the industry. Healthcare can benefit from the same type of approach, with physicians practicing medicine with the help of data, dashboards, and AI. This will improve the quality of care they provide and make their jobs easier and more efficient”

MedicalSurgeryCognitive BiasesPharmaceuticalsGenomicsAi SolutionsAi ApplicationsCognitive RoboticsMedical InsightsMedical Techniques
Book:AI Doctor: The Rise of Artificial Intelligence in Healthcare - A Guide for Users, Buyers, Builders, and Investors
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“When scientists underestimate complexity, they fall prey to the perils of unintended consequences. The parables of such scientific overreach are well-known: foreign animals, introduced to control pests, become pests in their own right; the raising of smokestacks, meant to alleviate urban pollution, releases particulate effluents higher in the air and exacerbates pollution; stimulating blood formation, meant to prevent heart attacks, thickens the blood and results in an increased risk of blood clots in the heart. But when nonscientists overestimate [italicized, sic] complexity- 'No one can possibly crack this [italicized, sic] code" - they fall into the trap of unanticipated consequences. In the early 1950s , a common trope among some biologists was that the genetic code would be so context dependent- so utterly determined by a particular cell in a particular organism and so horribly convoluted- that deciphering it would be impossible. The truth turned out to be quite the opposite: just one molecule carries the code, and just one code pervades the biological world. If we know the code, we can intentionally alter it in organisms, and ultimately in humans. Similarly, in the 1960s, many doubted that gene-cloning technologies could so easily shuttle genes between species. by 1980, making a mammalian protein in a bacterial cell, or a bacterial protein in a mammalian cell, was not just feasible, it was in Berg's words, rather "ridiculously simple." Species were specious. "Being natural" was often "just a pose.”

InspirationalTechnologyBalanceGeneticsGenomicsDouble Edged SwordModern Genetics
Book:The Gene: An Intimate History
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“In nature, ecosystems consist of fauna and flora, climatic characteristics, soil conditions, geologic features, and a host of other interacting influences. Similarly, the precision medicine ecosystem is made of many interacting components, including patients, clinicians, researchers, laboratory services, CDS software, genomic databases, smartphones, servers, claims data, mobile apps, biobanks to store clinical specimens, and EHRs. EHRs need to serve as gateways to this ecosystem. And for the EHR to become an effective conduit, it needs a way to organize these diverse sources in a way that lets clinicians and patients make more effective diagnostic and treatment decisions.”

TechnologyMedicalHealthcareInterconnectedNetworkEcosystemGenomicsPrecision MedicineEhrClinical
Book:Realizing the Promise of Precision Medicine: The Role of Patient Data, Mobile Technology, and Consumer Engagement
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“The issue of reimbursement by payers is an important factor that should be discussed. Is it possible that if radiologists use AI to read scans, they’ll receive less reimbursement? Or to approach this from the other angle, if payers are reimbursing for the use of AI, will they pay radiologists less as a result? My discussions with insurance executives have shown that they don’t think this is likely. If the use of these technologies will improve patient outcomes and lead to fewer errors, there are benefits to them that will motivate executives to pay for them in addition to radiologists’ reading fees.”

SuccessEducationTechnologyFutureDiseaseMental HealthPandemicsGenomicsHealthcare Investments
Book:AI Doctor: The Rise of Artificial Intelligence in Healthcare - A Guide for Users, Buyers, Builders, and Investors
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“There has to be some more regulation. But our kids have this incredible buffet of they can work in genomics, they can work in pre-omics, or they can work in robotics, or they can work in this, or they can work in that. And within the next five years there will be entirely new industries that come out of nowhere that kids are working in that would have been inconceivable when they started college. Not when we started college.”

YearsHas BeensKidsNextFiveCollegeIndustryIncrediblesFive YearsRegulationRoboticsBuffetsGenomics
Author:Juan Enriquez
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“If we were able to put every single solitary cancer cell that has a genomic - had their genome done in one place, we have the computing capacity to go in and look at what are the similarities and dissimilarities that make them work and don't work. And every expert will tell you, it is probably gonna exponentially increase the capacity to be able to find, A, cures, B, vaccines, and C, turn some cancers into chronic diseases, rather than it cost you your life.”

IfsLooksDoneAbleTurnsCostDiseaseCapacityIncreaseCancerCuresCellsExpertsSolitarySimilarityVaccinesComputingGenomeGenomics
Author:Joe Biden
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“I...asked why purebloods despised me so. He replied, 'What if the difference between social strata stem not from genomics or inherent xcellence or even dollars, but merely differences in knowledge? Would this not mean the whole Pyramid is built on shifting sands?... fabricants are mirrors held up to purebloods' consciences; what purebloods see reflected there sickens them. So they blame you for holding up the mirror”

IfsMeanWholeSocialDifferencesConscienceBuiltMirrorsBlameDollarsSandWhat IfInherentStemShiftingPyramidsDespisedShifting SandGenomics
Author:David Mitchell
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“A Machine to Make a Future is an insightful and creative contribution to the literature--both scholarly and journalistic--on contemporary genomics. By 'experimenting' with narrative genre, the authors hope to generate different insights into the world of genomics and biotechnology than ones generally presented in existing accounts. They succeed at that goal, providing an account that is ethnographically rich and analytically open to a world whose structure, implications, and outcomes are very much in the making.”

WorldDifferentLiteratureGoalCreativeRichSucceedMachinesAccountsStructureInsightContemporaryNarrativeGenreOutcomesContributionInsightfulProvidingImplicationsScholarlyJournalisticBiotechnologyGenomics
Author:Nadia Abu El Haj
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