Search results
Results from the WOW.Com Content Network
GAN has been used for generating synthetic medical images, such as MRI and PET images to address this challenge. [74] GAN can be used to detect glaucomatous images helping the early diagnosis which is essential to avoid partial or total loss of vision. [75] GANs have been used to create forensic facial reconstructions of deceased historical ...
As widespread use of AI in healthcare is relatively new, research is ongoing into its application in various subdisciplines of medicine and related industries. AI programs are applied to practices such as diagnostics , [ 4 ] treatment protocol development, [ 5 ] drug development , [ 6 ] personalized medicine , [ 7 ] and patient monitoring and ...
In a 2018 study in mice, the Gan lab demonstrated that haploinsufficiency of TREM2, the strongest immune cell-specific risk factor for AD, impairs microglia motility and increases tau pathology relative to either wildtype or complete knockout mice. [8] Gan is also interested in sex-specific responses of microglia to neurodegeneration. [9]
A study that compares two groups of people: those with the disease or condition under study (cases) and a very similar group of people who do not have the disease or condition (controls). Researchers study the medical and lifestyle histories of the people in each group to learn what factors may be associated with the disease or condition.
Fascinated by the “screaming woman” who died 3,500 years ago, researchers used CT scans other techniques to understand what might have caused her striking expression.
The original GAN method is based on the GAN game, a zero-sum game with 2 players: generator and discriminator. The game is defined over a probability space (,,), The generator's strategy set is the set of all probability measures on (,), and the discriminator's strategy set is the set of measurable functions : [,].
For example, you can use it instead of mayonnaise in a tuna, chicken, or egg salad, Gans suggests. Or, instead of sour cream on a baked potato, you can use Greek yogurt, she adds.
Medical image computing (MIC) is an interdisciplinary field at the intersection of computer science, information engineering, electrical engineering, physics, mathematics and medicine. This field develops computational and mathematical methods for solving problems pertaining to medical images and their use for biomedical research and clinical care.