Claims:
We claim:
1. The calculation may be performed to generate a second set of values, including discrete values associated with each of multiple cognitive metrics at a given time. The method may further include presenting a discrete value of each cognitive metric on the display at a given time, thereby predicting the progression of the subject's cognitive state.
2. This method may include determining at a given time whether a subject is at risk for mild cognitive impairment or Alzheimer's disease, based on the presentation of discrete values for each cognitive metric. In certain embodiments, the method may further comprise determining the course of treatment for the subject based on the prognosis of the risk of mild cognitive impairment or Alzheimer's disease.
3. Cells containing the activator. One of ordinary skill in the art can select appropriate indicator proteins and activator compounds by determining whether such differential phosphorylation occurs.
4. Calculating the ratios described herein is useful in providing useful comparative values, but the absolute difference between activated and basal phosphorylation levels and between the subject and the control.

, Description:
The method for predicting the progression of a cognitive state in a subject is provided. This method obtains a neural image of the subject, obtains a data pattern from the neural image of the subject containing the initial set of values associated with multiple physiological characteristics, and selects a predetermined time for cognitive progression. Perform at least one calculation on the first set of values using the predicted target state, which can include that, and the transformation function. The calculation may be performed to generate a second set of values, including discrete values associated with each of multiple cognitive metrics at a given time. The method may further include presenting a discrete value of each cognitive metric on the display at a given time, thereby predicting the progression of the subject's cognitive state. This invention provides a method of diagnosing Alzheimer's disease using deeplearning in a subject, the method of which includes: (A) To measure the baseline phosphorylation level of the indicator protein in the target cells. (B) The cells of interest are brought into contact with the activator compound. Here, the activator is selected to elicit a different response of activated phosphorylation of the indicator protein in the cells of interest as compared to the activated phosphorylation reaction. Non-Alzheimer's control cells at a given time after the start of contact; (c) At a given time after the start of contact, the activated phosphorylation level of the indicator protein in the cells of interest is measured. (D) Calculate the ratio of the activated phosphorylation level determined in step (c) to the basal phosphorylation level in step (a). (E) The calculated ratio of step (d) is compared to a previously determined activated phosphorylation ratio measured at a given time point from known Alzheimer's disease cells and known non-Alzheimer's disease cells. Here, if the calculated ratio is not statistically different from the previously determined ratio for known Alzheimer's disease cells, the diagnosis is positive and / or previously for non-Alzheimer's disease cells for which the calculated ratio is known. Different if not statistically different from the ratio determined to, the diagnosis is negative. One embodiment comprises selecting a potential therapeutic compound, administering the potential therapeutic compound to the patient, and then detecting the presence or absence of abnormally elevated levels of kinase phosphorylation indicator protein in the patient's cells. Provided are methods of selecting drugs for Alzheimer's disease patients, including. After activating cells with a compound that stimulates kinase phosphorylation of the indicator protein, the possible therapeutic compounds show high levels of presence that are not effective for the patient, and the lack of such levels is due to the possible therapeutic compounds. Treatment for the patient. This method may further comprise treating or preventing Alzheimer's disease in a patient by administering to the patient a compound that has been shown to be therapeutic to the patient. For any active compound, the number of suitable indicator proteins and vice versa. According to the invention, the combination of activator compound and indicator protein allows the activator to phosphorylate the indicator protein in cells of patients with Alzheimer's disease compared to the level of healthy control cells at a given time after contact. Selected to provoke different reactions. Cells containing the activator. One of ordinary skill in the art can select appropriate indicator proteins and activator compounds by determining whether such differential phosphorylation occurs. After a set of indicator proteins and activator compounds have been selected, assay parameters should be optimized for the time of identification, the appropriate concentration of protein and activator, the appropriate antibody against phosphoprotein or non-phosphorylated protein or other means. Can be done. Detection etc. Of course, the calculation of the ratio of activated phosphorylation level to substrate phosphorylation level can be reversed. That is, for the sake of simplicity, it is mentioned that the activation / basal ratio is higher than the known value, so the reversal of the numerator-denominator relationship is that the prospect of deactivated phosphorylation is higher than the known value. It is considered low. Therefore, it should be understood that if the calculation of the ratio is described in any way herein, it involves the calculation of the reciprocal, as will be apparent to those of skill in the art. Calculating the ratios described herein is useful in providing useful comparative values, but the absolute difference between activated and basal phosphorylation levels and between the subject and the control. Calculations can also be used and are valid according to the present invention.