Sailahari Mullapudi, a student at Eastlake High School in the USA, has demonstrated a keen interest in the field of medicine and research. She has completed a CRISPR Foundations Certificate at the CRISPR Classroom and participated in a Coding in Medicine Course in Python. Additionally, she serves as an Ambassador Co-chair for the LLS Seattle Student Leadership Committee at the Leukemia & Lymphoma Society: Pacific Northwest Region, and has interned as a Junior Health Scholar at Swedish Medical Center.
Sailahari’s research paper, titled “A Machine Learning Approach in Predicting Antimicrobial Resistance (AMR) in Escherichia Coli (E. coli),” was accepted at the MIT Undergraduate Research Technology Conference (MIT URTC 2023) in Massachusetts. This conference, organised by MIT students in collaboration with the IEEE, offers various activities, including student-led presentations and talks by industry experts, providing valuable networking opportunities.
Sailahari’s research paper introduces a machine learning approach to predict Antimicrobial Resistance (AMR) in E. coli bacteria. It aims to overcome the limitations of traditional culture-based methods by utilising whole genome sequencing (WGS) data. Four machine learning models are trained to predict resistance to four antibiotics commonly used against E. coli infections. Results indicate high accuracy in predicting AMR, suggesting the potential of this approach to aid healthcare professionals in selecting effective antibiotic treatments swiftly and accurately.
Congratulations to Sailahari on this remarkable achievement!
