Adaptive regulation of food consumption involves both identifying food as well as evaluating whether it should be eaten, a process that requires assessing relevant properties such as healthfulness and hedonic value. In order to identify how these fine-grained food properties are represented in the brain, we analyzed functional Magnetic Resonance Imaging data from 43 participants who viewed images of 36 different foods. A data-driven clustering approach based on Representational Similarity...

CONCLUSION: Primary study aims of increasing parental comfortability and physician diagnostic use of PE were met with statistical significance. Secondary aims of parental knowledge about the PE were clinically increased but not statistically. Physicians believed the parents who received the education video were more prepared and comfortable and had better image quality.

CONCLUSIONS: Despite progress in MG management with the availability of more disease modifiers, there was a significant increase in MG mortality and in MG exacerbation rate in P2 compared to P1. Notably, this was greater in SHT than SLT. Work is in progress to adjust to socioeconomic and demographic factors, comorbid conditions, other climate factors, and MG disease modifiers. Disclosure: Mr. Jaffry has nothing to disclose. Mr. Karpenos has nothing to disclose. Mr. Lin has nothing to disclose....

Clinical diagnosis typically incorporates physical examination, patient history, various laboratory tests, and imaging studies but makes limited use of the human immune system's own record of antigen exposures encoded by receptors on B cells and T cells. We analyzed immune receptor datasets from 593 individuals to develop MAchine Learning for Immunological Diagnosis, an interpretive framework to screen for multiple illnesses simultaneously or precisely test for one condition. This approach...

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