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Rang Technologies Inc. will be attending the WBENC National Conference 2026, taking place June 15–18 in Salt Lake City, Utah.

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Featured Event

Rang Technologies Inc. will be attending the WBENC National Conference 2026, taking place June 15–18 in Salt Lake City, Utah.

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Featured Event

Rang Technologies Inc. will be attending the WBENC National Conference 2026, taking place June 15–18 in Salt Lake City, Utah.

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Featured Event

Rang Technologies Inc. will be attending the WBENC National Conference 2026, taking place June 15–18 in Salt Lake City, Utah.

Case Studies

Categories

All Case Studies

Phase III Trial Analytics Using R

Diabetes Study Statistical Reporting

Clinical Safety Reporting Optimization

Automated SAS Reporting

Predicting Migraine Episodes Using Neural Networks

Using R Programming to Enhance Phase III Clinical Trial Analytics

SAS in HEOR for RWE

Unix in Clinical Research Infrastructure

Improving Market Access for a Behavioural Health Treatment

Predictive Analytics in ICU Patient Care

Predictive Maintenance for Medical Equipment

Effectiveness and cost-efficiency of a new treatment using real-world data (RWD) from electronic health records and claims databases.

Diabetes Prediction / HbA1c / Drug Trials

Diabetes Drug Effectiveness (12-week Blood Glucose Study)

Predicting Patient Readmission

FDA-Compliant Hypertension Trial Datasets

Hospital Readmission Risk Prediction

Oncology Trial Data Standardization

Adverse Drug Reaction Signal Detection

ICU Capacity Forecasting

Mobile Health App for Medication Adherence

Wearable Device Based Real-Time Monitoring for Cardiac Patients

Stroke Risk Prediction for Clinical Trials

Cancer Drug Survival Analysis Using R

Influenza Outbreak Surveillance Using R

Modeling Healthcare Expenditures in Cardiovascular Patients

Predicting 30 Day Readmissions in Diabetic Patients

Survival Analysis in Breast Cancer Patients

COVID-19 Epidemiology Analysis in Python

Monitoring Influenza Trends Using SAS

Predicting Sepsis Using Clinical Data

Using Wearable Health Data to Improve Patient Outcomes

Oncology Outcomes Analysis

Cardiovascular Outcomes in Real-World Data

AI Tool for Sleep Quality Evaluation

Clinical Decision Support & Workflow Optimization

Real-Time Safety Oversight in Vaccine Trial

Pharmacovigilance in Rare Disease Trials using AI & NLP

Predicting Sleep State Using ML

ML-driven Recruitment Optimization (Cardiovascular Study)

Cardiovascular Trial Safety Detection

Medication Compliance Monitoring System in Healthcare Using Java

Managing Oncology Trial Data Across Sites

Clinical Decision Support for Diabetes Risk using Python + EHR

AI-based Patient Eligibility Screening

Patient Narrative Automation

Multi-site Trial Data Analysis

Oncology Portfolio Market Access Optimization

Clinical Dataset Processing Using R

Drug Effectiveness on Blood Pressure Reduction

Cost-effectiveness of Drug (Heart Failure)

AI-powered Medication Parameter Analysis in Healthcare EHRs

Standardized Efficiency

ADAM Transformation

Team Establishment

Matches Need Not Be Made in Heaven (Pricing Analytics)

SAS Clinical

Strategic Real-World Evidence Generation

Aggregating Genomic Data from Multiple Sources

Deep Learning in Clinical Trials – Analyzing Medical Imaging Data for Lung Cancer

Diabetes Prediction in Clinical Trials Using R Programming