Other Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Cost-Effectiveness And Outcomes Of Utilizing Tisagenlecleucel Therapy (Car T-Cell) In Pediatric Acute Lymphoblastic Leukemia In Comparison To Standard Of Care (Soc) Therapies: A Scoping Review, Andrew Atschinow, Evangeline Attota, Warren Chan, Pooja Kasarapu, Priyal Shah, Karina Vizzoni

Rowan-Virtua Research Day

Aims

This review aims to assess the correlations between outcomes and cost of treatment methods for pediatric acute lymphoblastic leukemia patients, specifically comparing CAR T-cell therapy and Standard-of-Care (SoC) therapy. The socioeconomic background of patients will also be taken into consideration to see if there are differences in their outcomes.

Methods

Peer-reviewed publications were collected from PubMed and Web of Science. The keyword strings used were “acute lymphoblastic leukemia,” “pediatric acute lymphoblastic leukemia,” “pediatric,” “CAR T-cell therapy,” and “cost-effectiveness.” 27 citations were obtained. Titles were screened by 6 authors. Articles met the inclusion criteria including potential Quality-Adjusted Life Year (QALY) …

Cardiovascular Disease Prediction Modelling: A Machine Learning Approach, Usmaan Al-Shehab, Maduka Gunasinghe, Yousuf Elkhoga, Nimay Patel, Juliana Yang

Rowan-Virtua Research Day

The objective of this project is to utilize the UCI Heart Disease dataset to identify physiological biomarkers that are highly correlated with heart disease incidence. A predictive model can then be developed using these biomarkers to estimate the likelihood of someone having or developing a heart-related condition. This study compares the efficacy of predicting cardiovascular disease as an outcome using three machine learning algorithms: Support Vector Machine, Gaussian Naive Bayes, and logistic regression. Support Vector Machine works by creating hyperplanes between data points to conduct classification. Gaussian Naive Bayes works by using the conditional probabilities of events to classify the …