Clinical Trial : ACCELERATING MULTI-SITE CLINICAL TRIAL DATA ANALYSIS USING R
ACCELERATING MULTI-SITE CLINICAL TRIAL DATA ANALYSIS USING R
Clinical Trial
Oncology : IMPROVING MARKET ACCESS FOR AN ONCOLOGY PORTFOLIO USING SAS AND R
IMPROVING MARKET ACCESS FOR AN ONCOLOGY PORTFOLIO USING SAS AND R
Oncology
AI : LEVERAGING AI TO DEFINE AND IMPROVE PATIENT MEDICATION METRICS
LEVERAGING AI TO DEFINE AND IMPROVE PATIENT MEDICATION METRICS
AI
hypertension : TO EVALUATE THE EFFECTIVENESS OF A NEW MEDICATION ON REDUCING BLOOD PRESSURE IN PATIENTS WITH HYPERTENSION
TO EVALUATE THE EFFECTIVENESS OF A NEW MEDICATION ON REDUCING BLOOD PRESSURE IN PATIENTS WITH HYPERTENSION
hypertension
AI : AI-POWERED IMAGE ANALYSIS SYSTEM TO AUTOMATICALLY DETECT SUBTLE SIGNS OF CANCER IN MEDICAL IMAGES
AI-POWERED IMAGE ANALYSIS SYSTEM TO AUTOMATICALLY DETECT SUBTLE SIGNS OF CANCER IN MEDICAL IMAGES
AI
R Programming : IMPLEMENTING PROCESSES IN LARGE AND COMPLEX CLINICAL DATASETS USING R PROGRAMMING
IMPLEMENTING PROCESSES IN LARGE AND COMPLEX CLINICAL DATASETS USING R PROGRAMMING
R Programming
R Programming : USING R PROGRAMMING IN FOR EVALUATING THE COST-EFFECTIVENESS OF A NEW DRUG FOR TREATING CHRONIC HEART FAILURE
USING R PROGRAMMING IN FOR EVALUATING THE COST-EFFECTIVENESS OF A NEW DRUG FOR TREATING CHRONIC HEART FAILURE
R Programming
LIFE SCIENCES : VISUALIZATION TECHNIQUES IN RWD FOR ONCOLOGY
VISUALIZATION TECHNIQUES IN RWD FOR ONCOLOGY
LIFE SCIENCES
LIFE SCIENCES : EHR DATA ANALYSIS FOR PREDICTING MEDICATION NON-ADHERENCE
EHR DATA ANALYSIS FOR PREDICTING MEDICATION NON-ADHERENCE
LIFE SCIENCES
LIFE SCIENCES : DIABETES PREDICTION IN CLINICAL TRIALS USING R PROGRAMMING
DIABETES PREDICTION IN CLINICAL TRIALS USING R PROGRAMMING
LIFE SCIENCES
LIFE SCIENCES : DEEP LEARNING IN CLINICAL TRIALS - ANALYZING MEDICAL IMAGING DATA FOR LUNG CANCER
DEEP LEARNING IN CLINICAL TRIALS - ANALYZING MEDICAL IMAGING DATA FOR LUNG CANCER
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DATA SCIENCE : AGGREGATING GENOMIC DATA FROM MULTIPLE SOURCES WITHOUT MISSING ANY DATA POINTS
AGGREGATING GENOMIC DATA FROM MULTIPLE SOURCES WITHOUT MISSING ANY DATA POINTS
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REAL WORLD DATA : AN EXPLORATORY ANALYSIS OF REAL-WORLD DATA (RWD) FOR ASSESSING AND UNDERSTANDING MARKET
AN EXPLORATORY ANALYSIS OF REAL-WORLD DATA (RWD) FOR ASSESSING AND UNDERSTANDING MARKET
REAL WORLD DATA
LIFE SCIENCES : LEVERAGING REAL-WORLD DATA FOR COST ANALYSIS INSIGHTS
LEVERAGING REAL-WORLD DATA FOR COST ANALYSIS INSIGHTS
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HEALTHCARE : AI-POWERED MEDICATION PARAMETER ANALYSIS IN HEALTHCARE EHRS
LIFE SCIENCES : IMPLEMENTATION OF PROCESSES AND STANDARDS
LIFE SCIENCES : CREATING ADAM (ANALYSIS DATA MODEL) FOLLOWING SDTM STANDARDS
LIFE SCIENCES : SETTING-UP A STATISTICAL PROGRAMMING TEAM FOR COVID-19 VACCINE PROJECT
SETTING-UP A STATISTICAL PROGRAMMING TEAM FOR COVID-19 VACCINE PROJECT
LIFE SCIENCES
HEALTHCARE : MATCHES NEED NOT BE MADE IN HEAVEN
FINANCE : A LEAF OUT OF RISK MANAGEMENT FOR REVENUE MAXIMIZATION
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RETAIL : DYNAMIC MODELS THAT REACT QUICKLY TO KEY TRIGGERS
LIFE SCIENCES : MAPPING RAW DATA FROM LEGACY FORMAT TO SDTM FORMAT
E-COMMERCE : ACTIONABLE INSIGHTS AND ANALYTICS FROM DAY ONE
SUPPLY CHAIN : CONVERT FAILURES INTO OPPORTUNITIES
TECHNOLOGY : EMPOWERING YOUR EMPLOYEES TO SELF-MANAGE
MANUFACTURING : CONVERTING SMALL DEVICES INTO BIG OPERATIONAL EFFICIENCIES
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MEDIA : PREDICTING AND OPTIMIZING ADVERTISEMENT SPENDING THROUGH ADSTOCK MODEL
UTILITY : IDENTIFYING METER MALFUNCTIONS & BILLING EXCEPTIONS
