METHOD FOR ANALYZING THE EFFECTS OF VARIOUS SERUM CONCENTRATIONS ON CELLULAR ACTIVITIES

Abstract

ABSTRACT A method (100) for analyzing the effects of various serum concentrations on cellular activities, comprising: identifying a range of serum concentrations; utilizing computational models to predict the impact of serum concentrations on cellular behavior; conducting in vitro assays to evaluate the effects of serum concentrations on cellular activities; analyzing cellular models to assess the impact of serum concentrations on cellular growth, differentiation, and metabolic activity. <>

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of molecular biology and biochemistry, specifically to a method for analyzing the effect of various serum concentrations on cellular activities. The invention aims to establish a comprehensive method for evaluating how different serum concentrations influence cellular behavior, providing valuable insights for optimizing cell culture conditions and therapeutic applications.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Serum, a compone , Claims:WE CLAIM:
1. A method (100) for analyzing the effects of various serum concentrations on cellular activities, comprising:
identifying a range of serum concentrations;
utilizing computational models to predict the impact of serum concentrations on cellular behavior;
conducting in vitro assays to evaluate the effects of serum concentrations on cellular activities;
analyzing cellular models to assess the impact of serum concentrations on cellular growth, differentiation, and metabolic activity.

2. The method (100) as claimed in claim 1, wherein the computational models include systems biology models and machine learning algorithms.

3. The method (100) as claimed in claim 1, wherein the in vitro assays include cell viability assays, differentiation markers, and metabolic profiling.

4. The method (100) as claimed in claim 1, wherein the cellular models include various cell lines and primary cells.

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