Results 41 to 50 of about 6,877,980 (390)
Standardized in-vitro evaluation of CAR-T cells using acellular artificial target particles
Frontiers in Immunology, 2022 The horizon of immunotherapy using CAR-T cells is continuously extending to treat solid tumors beyond the success in the treatment of liquid tumors. Precise in-vitro evaluations of CAR-T cells for their phenotypes, quantity and quality of activation in ...
Rona Harari-Steinfeld +5 more
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Ethics of Artificial Intelligence [PDF]
, 2021 Artificial intelligence (AI) is a digital technology that will be of major importance for the development of humanity in the near future. AI has raised fundamental questions about what we should do with such systems, what the systems themselves should do,
Müller, Vincent C.
core
Biomédica: revista del Instituto Nacional de Salud, 2009 Introducción. En diferentes tipos de afecciones cardiacas, incluida la enfermedad de Chagas, se ha descrito la presencia de anticuerpos que reconocen neurorreceptores cardiacos.
María Clara Echeverry +2 more
doaj +1 more source
Artificial Vision and Artificial Audition
Practica Oto-Rhino-Laryngologica, 2003 Devices to provide substitute for visual or hearing sensation have been developed in recent years. However, compared to a marked improvement in artificial audition such as cochlear implant, devices for artificial vision such as retinal implant, optic nerve implant and cortical implant have not developed to the level of daily use for the blind. The poor
openaire +3 more sources
Ethical and Statistical Considerations in Models of Moral Judgments
Frontiers in Robotics and AI, 2019 This work extends recent advancements in computational models of moral decision making by using mathematical and philosophical theory to suggest adaptations to state of the art.
Torty Sivill
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Examples of Artificial Perceptions in Optical Character Recognition and Iris Recognition
, 2012 This paper assumes the hypothesis that human learning is perception based, and consequently, the learning process and perceptions should not be represented and investigated independently or modeled in different simulation spaces.
A.M. Turing +6 more
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Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing [PDF]
Proceedings of the IEEE, 2019 With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications and services, spanning from personal assistant to recommendation systems to video/audio surveillance.
Zhi Zhou +5 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source
A challenging case of transvenous lead extraction
Türk Kardiyoloji Derneği Arşivi, 2015 A 72-year-old male patient with a 7-year history of cardioverter-defibrillator (ICD) implantation was admitted to our clinic with pocket infection. One year prior to this admission, he had undergone an unsuccessful extraction procedure at another clinic,
Tolga Aksu +3 more
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The potential for artificial intelligence in healthcare
Future healthcare journal, 2019 The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies.
T. Davenport, R. Kalakota
semanticscholar +1 more source