| 摘要 |
A technique is described for determining the effectiveness of medical therapy and dosage formulations by analysing dot spectrograms representative of quantized hybridization activity in biological samples, such as DNA, RNA or other protein biomolecular array samples, taken at different sampling times from a patient undergoing the treatment. The technique directly lends itself to disease progression analysis based on markers such as viral load. In accordance with the technique, a viral diffusion curve associated with a therapy of interest is generated and each dot spectrogram is then mapped to the viral diffusion curve using fractal filtering to yield a filtered viral diffusion curve for each sample. A degree of convergence between the filtered viral diffusion curves is determined. Then, a determination is made as to whether the therapy of interest has been effective by determining whether the degree of convergence increases from one sample to another, with an increase in the degree of convergence being representative of a lack of effectiveness of the therapy of interest.
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