 Surface-enhanced Raman spectroscopy slash scattering, SCRS, has become increasingly popular in biological and medical applications due to its ease of use, non-destructive, and label-free nature. Recent advancements in plasmonics and instrumentation have enabled the realization of SIRS's full potential for trace detection of biomolecules, disease diagnoses, and monitoring. This paper provides a brief review of the recent developments in SCRS technology for biosensing applications with a particular focus on machine learning techniques used for the same. First, it discusses the need for plasmonic sensors in biology and the advantages of SCRS over other techniques. Later sections cover applications of SCRS for disease diagnosis, including the recent SARS-CoV-2 detection. It also discusses progress in sensing microorganisms, such as bacteria, with a particular focus on plasmonic sensors for detecting biohazardous materials in view of homeland security. Finally, it focuses on machine learning techniques for, A, identification, B, classification, and, C, quantification in SCRS for biology. This article was authored by Reshma Biram, Kameshwara Rao Vipa, and Vinugopal Rao Soma.