| CPC G16H 20/00 (2018.01) | 18 Claims |

|
1. An apparatus for extending longevity, wherein the apparatus comprises:
at least a processor; and
a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to:
receive a longevity measurement pertaining to a user wherein the longevity measurement further comprises at least a biomarker;
select a target longevity factor as a function of the longevity measurement, wherein selecting the target longevity factor comprises:
training a first machine-learning model using longevity factor training data; and
generating, using the trained first machine-learning model, the target longevity factor;
identify a longevity treatment as a function of the target longevity factor; and
generate a longevity treatment protocol pertaining to the user as a function of the longevity treatment and the longevity measurement, wherein generating the longevity treatment protocol comprises:
receiving longevity treatment protocol training data, wherein the longevity treatment protocol training data comprises mutually correlated longevity treatment examples, longevity measurement examples, and longevity treatment protocol examples;
training a second machine learning model using the longevity treatment protocol training data;
generating the longevity treatment protocol using the second machine-learning model;
receiving updated longevity treatment protocol training data;
retraining the second machine-learning model using the updated longevity treatment protocol training data;
receiving one or more post longevity measurements, wherein the one or more post longevity measurements is received at a time interval after the longevity measurement; and
updating the longevity treatment protocol as a function of the one or more post longevity measurements and the retrained second machine-learning model.
|