Biotechnology for curing hypothyroidism

Abstract

A method and apparatus for thyroid hormone control using a synthetic module containing thyroid hormone and an intelligent valve control device. In embodiments, the invention consists of an iterative process with three steps. First, blood is measured to detect thyroid hormone concentration. Second, the measured concentration is compared to a target thyroid hormone concentration. Third, the intelligent valve control device optimizes thyroid hormone delivery, correcting for differences between the measured concentration and the target concentration.

Claims

1. A method for human metabolic control, the method comprising a synthetic module containing one valve delivery system, the valve opening and closing according to thyroid hormone concentration in the bloodstream, a reinforcement learning agent controlling the valve with an embedded intelligence for optimal thyroid hormone dosing delivery, and one measurement device collecting and processing data, optimizing thyroid hormone dosing delivery according to defined parameters.

2. The method of claim 1, wherein the reinforcement learning agent is a trained proximal policy optimization algorithm, using a trained neural network to ensure the patient's bloodstream maintains homeostasis in thyroid hormone, delivering thyroid hormone to the patient according to a defined set point.

3. The method of claim 1, wherein the defined parameters include a set point, defining the optimal concentration for thyroid hormone in the bloodstream, wherein the difference between a measured concentration is compared to the set point concentration, and an artificial intelligence program manipulates the drug delivery system, minimizing the difference between the measured concentration and set point concentration in the blood.

4. The method of claim 1, wherein the thyroid hormone is purified Thyroxine (T.sub.4).

5. The method of claim 1, wherein the thyroid hormone is a composition containing Thyroxine (T.sub.4) and Triiodothyronine (T.sub.3).

6. The method of claim 1, wherein the thyroid hormone is a composition containing Thyroxine (T.sub.4), Triiodothyronine (T.sub.3), and Free Thyroxine (FT.sub.4).

7. The method of claim 1, wherein the reinforcement learning agent is a proximal policy optimization algorithm, using a deep gradient optimizer, further comprising one convolutional neural network, iteratively improving the difference between a measured concentration of thyroid hormone and set point concentration of thyroid hormone.

8. The method of claim 1, where in the valve is controlled with classical computing system, optimizing drug delivery according to logical principles, performing computations without reference to the current thyroid hormone in the bloodstream.

9. A method for curing hypothyroidism, the method comprising a synthetic thyroid, measuring thyroid hormone in the blood, using an artificial intelligence program, predicting needed delivery dosage, delivering thyroid hormone, according to the dosage defined by the artificial intelligence program, maintaining metabolic homeostasis, controlling thyroid human in the bloodstream.

10. The method of claim 9, wherein the artificial intelligence program is a convolutional neural network, further comprising an input layer, two hidden layers, and output layer, predicting needed dosage.

11. The method of claim 9, wherein the artificial intelligence program is an embedded intelligence, calculating the needed dosage using statistical analysis, using intelligence from a human expert.

12. The method of claim 9, wherein the thyroid hormone is purified Thyroxine (T.sub.4).

13. The method of claim 9, wherein the thyroid hormone is a composition containing Thyroxine (T.sub.4) and Triiodothyronine (T.sub.3).

14. The method of claim 9, wherein the thyroid hormone is a composition containing Thyroxine (T.sub.4), Triiodothyronine (T.sub.3), and Free Thyroxine (FT.sub.4).

15. The method of claim 9, wherein the synthetic thyroid further compromises a carbon nanotube, concealing a thyroid hormone supply, delivering to the blood through a timed-release drug delivery system, according to commands from a micro computing chip, signaling delivery time according to programmed commands.

16. An apparatus for intelligent thyroid hormone delivery, the apparatus comprising a cylindrical tube, further comprising a thyroid hormone supply, a mechanism for measuring thyroid hormone concentration in blood, a device for delivering the hormone supply to the bloodstream, artificial intelligence program which is embedded on a microprocessor in the cylindrical tube.

17. The apparatus of claim 16, wherein the cylindrical tube comprises a carbon nanotube, with a lattice support structure.

18. The apparatus of claim 16, wherein the thyroid hormone supply is purified Thyroxine (T.sub.4).

19. The apparatus of claim 16, wherein the thyroid hormone is a composition containing Thyroxine (T.sub.4) and Triiodothyronine (T.sub.3).

20. The apparatus of claim 16, wherein the thyroid hormone is a composition containing Thyroxine (T.sub.4), Triiodothyronine (T.sub.3), and Free Thyroxine (FT.sub.4).

Description

BRIEF DESCRIPTION OF DRAWINGS

[0013] FIG. 1 illustrates embodiments of the invention where a patient with hypothyroidism (100), uses a synthetic thyroid (101), to supplement thyroid hormonal deficiencies (102), effectively curing the patient for as long as the synthetic thyroid is able to provide the patient's needed hormone.

[0014] FIG. 2 illustrates methods for human metabolic control as an information flow model, where a data sensor (200), measures blood for hormonal concentration, and transfers a signal (201), to a processor with memory storage wherein the hormonal measurement concentration is stored and processed (202), to subsequently deliver an open command (205), which is linked to a control valve (206) via a computational coupling (203), triggering thyroid hormone delivery (207), from a thyroid hormone store chamber containing thyroid hormone (204), to the bloodstream (208).

[0015] FIG. 3 illustrates embodiments of the invention where a synthetic thyroid draws a blood sample (300), which is collected (301), using a measurement device (302), passing (303), the measurement to a computer processor (304), using a convolutional neural network and reinforcement learning algorithm (305), to command drug delivery from a Thyroxine (T.sub.4) supply (306), which is loaded (307), to a release chamber (308), and delivered (309), to the bloodstream as a liquid drop (310).

DETAILED DESCRIPTION OF THE INVENTION

[0016] FIG. 1 illustrates embodiments of the invention where a patient with hypothyroidism (100), uses a synthetic thyroid (101), to supplement thyroid hormonal deficiencies (102), effectively curing the patient for as long as the synthetic thyroid is able to provide the patient's needed hormone.

[0017] In certain embodiments, the invention is a process by which a patient with hypothyroidism uses a synthetic thyroid to supplement thyroid hormonal deficiencies, effectively curing the patient for as long as the synthetic thyroid is able to provide the patient's needed hormone. The disclosed invention provides a sustainable cure to hypothyroidism. In turn, the invention allows patients suffering from hypothyroidism to live without stresses associated medication management including daily reminders, neurochemical imbalances, and prescriptions. Thus, in certain patient's hypothyroid symptoms are effectively cured without the need for further treatment.

[0018] FIG. 2 illustrates methods for human metabolic control as an information flow model, where a data sensor (200), measures blood for hormonal concentration, and transfers a signal (201), to a processor with memory storage wherein the hormonal measurement concentration is stored and processed (202), to subsequently deliver an open command (205), which is linked to a control valve (206) via a computational coupling (203), triggering thyroid hormone delivery (207), from a thyroid hormone store chamber containing thyroid hormone (204), to the bloodstream (208).

[0019] In certain embodiments, the invention is a process where a synthetic thyroid draws a blood sample, which is collected, using a measurement device, passing the measurement to a computer processor using a convolutional neural network and reinforcement learning algorithm to command drug delivery from a Thyroxine (T.sub.4) supply, which is loaded, to a release chamber and delivered to the bloodstream as a liquid drop. The delivery stabilizes hormonal homeostasis.

[0020] FIG. 3 illustrates embodiments of the invention where a synthetic thyroid draws a blood sample (300), which is collected (301), using a measurement device (302), passing (303), the measurement to a computer processor (304), using a convolutional neural network and reinforcement learning algorithm (305), to command drug delivery from a Thyroxine (T.sub.4) supply (306), which is loaded (307), to a release chamber (308), and delivered (309), to the bloodstream as a liquid drop (310).

[0021] In certain embodiments, the present invention is a system for optimizing the hormone level of a patient wherein a data sensor measures blood for hormonal concentration, and transfers a signal, to a processor with memory storage. Then, the hormonal measurement concentration is stored and processed, to subsequently deliver an open command, which is linked to a control valve via a computational coupling. This triggers thyroid hormone release, from a thyroid hormone store chamber containing thyroid hormone, to the bloodstream, by opening the control valve and subsequently commanding the control valve closed.

[0022] In certain embodiments, the synthetic thyroid uses a deep learning algorithm to control drug delivery according to commands from a convolutional neural network. The information collected by blood measurements relating to thyroid hormone in the bloodstream may be processed with a convolutional neural network to predict the needed dosing release. According to the prediction, the drug delivery system delivers a specified amount of purified Thyroxine (T.sub.4) to the blood. In turn, the prediction promotes the stabilizing of hormonal homeostasis for the patient over time by effectively linking the measurement and delivery mechanism in the synthetic thyroid via a single neural network.

[0023] In certain embodiments, the drug delivery methods use a proximal policy optimization (PPO) algorithm, which is a type of reinforcement learning algorithm, to optimize drug delivery and homeostasis. In general, PPO works by computing an estimator of the policy gradient and iterating with a gradient optimization algorithm. In other words, the algorithm continuously updates the agent's policy based on the old policy's performance. The PPO update algorithm may be defined:

[00001]$\begin{array}{cc}{\theta }_{k+1}=\arg \underset{\theta }{\max }{\mathrm{��}}_{s,a\sim {\pi }_{{\theta }_k}}\left[L\left(s,a,{\theta }_k,\theta \right)\right].& \left(1\right)\end{array}$

In equation (1), L(s, α, θ.sub.k, θ) is the objective function, θ are the policy parameters, θ.sub.k are the policy parameters for k experiment. Generally, the PPO update is a method of incremental improvement. Essentially, the algorithm takes multiple steps via gradient descent to maximize the objective.

[0024] In certain embodiments, the PPO algorithm's key to the success in controlling drug delivery is obtaining good estimates of an advantage function. The advantage function describes the advantage of a particular policy relative to another policy. For example, if the advantage for the state-action pair is positive, the objective reduces to:

[00002]$\begin{array}{cc}L\left(s,a,{\theta }_k,\theta \right)=\min \left(\frac{{\pi }_{\theta }\left(a|s\right)}{{\pi }_{{\theta }_k}\left(a|s\right)},\left(1+ϵ\right)\right)A^{{\pi }_{{\theta }_k}}\left(s,a\right).& \left(2\right)\end{array}$

In equation (2),

[00003]$A^{{\pi }_{{\theta }_k}}$

is the advantage estimate tor the policy given parameters π.sub.θ(α|s), and the hyperparameter ∈ corresponds to how far away the new policy can step from the old while still profiting the objective. Where the advantage is positive the objective increases and the min function puts a limit to how much the objective can increase.

[0025] In certain embodiments, the proximal policy optimization algorithm is trained in a simulation environment to develop a reinforcement learning agent. Then, the reinforcement learning agent is embedded to a processor inside the synthetic thyroid. In turn, the reinforcement learning agent sends commands to the drug delivery system according to an optimal decision-making algorithm, which promotes delivery so as to maintain metabolic homeostasis in the patient.

[0026] In certain embodiments, an artificial intelligence algorithm processes information relating to the patient's current thyroid hormone level. Then, the artificial intelligence program makes a prediction regarding the patient's needed thyroid hormone for maintaining homeostasis. Next, the prediction informs the amount of thyroid hormone pumped to a drug delivery chamber. Finally, the needed supply necessary for maintaining homeostasis is delivered to the patient's bloodstream.

[0027] In certain embodiments, the synthetic thyroid is constructed with nanotechnologies including nanosensors, microprocessors, and carbon nanotubes. The synthetic thyroid may be constructed with multiple carbon nanotubes for performing two essential functions. The first function is measuring the blood for concentrations of Thyroxine (T.sub.4) and Triiodothyronine (T.sub.3). The second function is using the measured information to delivery Thyroxine (T.sub.4) to the bloodstream. Once delivered, the blood will perform deiodinases generating more Triiodothyronine (T.sub.3). The various functions may be performed using commands from a processor within the synthetic thyroid, communicating with nanotubes via nanowiring.

[0028] In certain embodiments, the invention is a process and system for curing hypothyroidism using artificial intelligence. First, blood sensors measure thyroid hormone concentration in the blood of the patient. The sensors detect and commit hormone levels of memory, including: Thyroxine (T.sub.4), Triiodothyronine (T.sub.3), Free Thyroxine (FT.sub.4), and other thyroid hormones. Second, the measurements are processed and compared to target hormonal levels, subsequently producing an automatic command for a valve control and delivery mechanism. The commands control the valve control and delivery mechanism such that the open command delivers thyroid hormone to the patient's bloodstream and the close command terminates the delivery process. Third, the valve control and drug delivery system command purified Thyroxine (T.sub.4) delivery from a supply of reserved hormone in a module to the patient's bloodstream optimizing hormonal homeostasis.

[0029] It is to be understood that while certain embodiments and examples of the invention are illustrated herein, the invention is not limited to the specific embodiments or forms described and set forth herein. It will be apparent to those skilled in the art that various changes and substitutions may be made without departing from the scope or spirit of the invention and the invention is not considered to be limited to what is shown and described in the specification and the embodiments and examples that are set forth therein. Moreover, several details describing structures and processes that are well-known to those skilled in the art and often associated with biotechnologies are not set forth in the following description to better focus on the various embodiments and novel features of the disclosure of the present invention. One skilled in the art would readily appreciate that such structures and processes are at least inherently in the invention and in the specific embodiments and examples set forth herein.

[0030] One skilled in the art will readily appreciate that the present invention is well adapted to carry out the objectives and obtain the ends and advantages mentioned herein as well as those that are inherent in the invention and in the specific embodiments and examples set forth herein. The embodiments, examples, methods, and compositions described or set forth herein are representative of certain preferred embodiments and are intended to be exemplary and not limitations on the scope of the invention. Those skilled in the art will understand that changes to the embodiments, examples, methods and uses set forth herein may be made that will still be encompassed within the scope and spirit of the invention. Indeed, various embodiments and modifications of the described compositions and methods herein which are obvious to those skilled in the art, are intended to be within the scope of the invention disclosed herein. Moreover, although the embodiments of the present invention are described in reference to use in connection with artificial intelligence, ones of ordinary skill in the art will understand that the principles of the present inventions could be applied to other types of biotechnology for a wide variety of applications.