Translation of "ordinateur organique " (French → English) :

biocomputer | bio-computer

bio-computer

Definition: A disorder characterized by involuntary voiding of urine, by day and by night, which is abnormal in relation to the individual's mental age, and which is not a consequence of a lack of bladder control due to any neurological disorder, to epileptic attacks, or to any structural abnormality of the urinary tract. The enuresis may have been present from birth or it may have arisen following a period of acquired bladder control. The enuresis may or may not be associated with a more widespread emotional or behavioural disorder. | Enuresis (primary)(secondary) of nonorganic origin Functional enuresis Psychogenic enuresis Urinary inc ...[+++]ontinence of nonorganic origin

Definition: An etiologically nonspecific organic cerebral syndrome characterized by concurrent disturbances of consciousness and attention, perception, thinking, memory, psychomotor behaviour, emotion, and the sleep-wake schedule. The duration is variable and the degree of severity ranges from mild to very severe. | acute or subacute:brain syndrome | confusional state (nonalcoholic) | infective psychosis | organic reaction | psycho-organic syndrome

micro-computer [ desk-top | lap-top | microcomputer | personal computer | portable computer | Personal computer(STW) ]

Organic:brain syndrome NOS | mental disorder NOS

organic light-emitting diode | OLED | organic LED | organic light-emitting device | organic electroluminescent diode | OEL diode

fluorescent organic nanoparticle | FON | organic fluorescent nanoparticle

dual cartridge organic vapour respirator [ twin cartridge organic vapour respirator ]

the substitution of indium in transparent conductive layers, such as those used in touch screen devices, flexible electronics, solar energy and OLED lighting (organic light-emitting diode used to create digital displays in devices such as television screens, computer monitors, portable systems such as mobile phones, handheld games consoles and PDAs)

- for health: personal non-obtrusive systems that enable citizens to manage their well-being such as wearable or implantable monitoring devices with communication capabilities and autonomous systems for supporting a healthy state; emerging techniques such as molecular imaging for improved prevention and individualised medicine; health knowledge discovery and application in clinical practice; modelling and simulation of organ functions; micro- and nano-robotic devices for minimally invasive surgical and therapeutic applications; remote assistance and remote monitoring technologies for the chronically ill and for elderly people; comp ...[+++]uter aided detection and clinical decision support systems that lead to more reliable diagnosis and an improved workflow, eventually leading to disease specific expert systems taking an integral carecycle approach, and exploiting accumulated patient data, and model based disease knowledge through data mining, bioinformatics, and systems biology; enterprise IT systems leading to increased efficiency and reduced medical error in the hospital and in secondary care facilities;

- for health: personal non-obtrusive systems that enable citizens to manage their well-being such as wearable or implantable monitoring devices with communication capabilities and autonomous systems for supporting a healthy state; emerging techniques such as molecular imaging for improved prevention and individualised medicine; health knowledge discovery and application in clinical practice; modelling and simulation of organ functions; micro- and nano-robotic devices for minimally invasive surgical and therapeutic applications; remote assistance and remote monitoring technologies for the chronically ill and for elderly people; comp ...[+++]uter aided detection and clinical decision support systems that lead to more reliable diagnosis and an improved workflow, eventually leading to disease specific expert systems taking an integral carecycle approach, and exploiting accumulated patient data, and model based disease knowledge through data mining, bioinformatics, and systems biology; enterprise IT systems leading to increased efficiency and reduced medical error in the hospital and in secondary care facilities;