Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Raman Spectroscopy and Machine Learning-based Optical Sensor for Rapid
  Tuberculosis Diagnosis via Sputum   Tuberculosis (TB) is a contagious disease that causes 1.5 million deaths per
year globally. Early diagnosis of TB patients is critical to control its
spread. However, standard TB diagnostic tests such as sputum culture take days
to weeks to produce results. Here, we demonstrate a quick, portable,
easy-to-use, and non-invasive optical sensor for TB detection based on sputum
samples. The probe uses Raman spectroscopy to detect TB in the supernatant of a
patient's sputum. We deploy a machine learning algorithm, principal component
analysis, on the acquired Raman data to enhance the detection sensitivity and
specificity. On testing 112 potential TB patients, our results show that the
developed sensor's accuracy is 100% for true-positive and 93.4% for
true-negative. Moreover, the probe correctly identifies patients on TB
medication. We anticipate that our work will lead to a viable and rapid TB
diagnostic platform.

14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc