• Track actual efforts against Government Grants
• Facilitate on time timesheets to Government submissionss
• Reconciliation analytics to reduce the errors and leakage
Life Sciences
Learn how machine learning, AI, data analytics in life sciences and pharma industry is helping customers
to be quality compliant, improving clinical studies, automating processes and saving overall costs.
Research & Discovery
- Prototype Results
- Drug targets and formulations
- R&D Tax Credits
- Clinical Studies
- Optimize Trial Design
- FDA Reporting
Manufacturing
- Yield Analytics
- Cycle time Optimizer
- OEE Analysis
- Line Simulation & Optimization
- Key alarm trigger detections
Quality Compliance
- Audit Findings
- CAPA Analytics
- Quality metrics
- Pharmacovigilance
- PSMF Optimization
- Safety Data
- Integrated Data
Post Market Intelligence
- Product Complaints
- Adverse Events
- Brand Perception
- Product Forecasting
- Pricing Analytics
- Topic Modeling
Pharma tax credits –
Loss prevention
• Trace defect with manufacturing process
• Identify which raw material is doing better
• Predict patterns during the manufacturing
processes and defects
Manufacturing Results Analysis
• Patient Recruitment & Screening
• Assign treatment groups against masked products
• Map R&D data against results
Clinical Analytics
Visualize defect tracking through all the stages of the manufacturing process.
• Multiple visualization formats
• Slicing and dicing of data from pre-arranged
classification
Defect tracking
Using data analytics in life sciences for optimizing % yield
• Visualize Top N Detractors that cause productivity of the manufacturing unit.
• Get atleast 5% improvement in the yield using our specialized
trouble shooting technique created using AI and ML.
Top N Detractors
• Visualize root cause and dependencies for the downtime of the machine or manufacturing line.
• Present and analyze downtime, uptime and cycle time
measures of the manufacturing line.
• Association rules to potentially predict the next alarm or downtime
Downtime
Collection, detection, assessment, monitoring, and prevention of adverse effects with pharmaceutical products
• Technology enabled services across the life cycle of a drug, device or vaccine for pharma industry and regulators
• Established platform to provide a portfolio of connected
service offerings relevant to pharmacovigilance
Pharmacovigilance
CAPA is a process which investigates and solves problems, identifies causes, takes corrective action and prevents recurrence of the root causes
• Capture, track and maintain accurate, auditable nonconformance records
• Manages all discovered nonconformances and enables
comprehensive preventive planning
Corrective & Preventive
Actions Analytics
The system provides oversight and assurance which are the key elements for controlling the laboratory processes and the manufacturing processes throughout the product life cycle.
• Predict CAPA from nonconformances through the life cycle from audit, inspection, observation and actions
• Helps FDA Compliance procedures and processes
Quality Metrics
Automating Adverse Event detection with AI/ML eliminating manual efforts and aiding to timely FDA submittals.
• Reduce dependency on highly trained professionals for
FDA submittal.
• Detecting potential adverse event and assist the experts for validation.
Adverse Events detection
Predict the primary drivers of conversation influencing brand perception
• To understand the demographics, interests, and habits of
the consumers
• Monitor fluctuations in brand health and identify
potential crises
Monitoring brand
perception with AI
Net ASP by Region, Market, Trade channel, brand & pack including/excluding currency impact
• Define alternative and other trade channels
• Product Master, Plan ASP and actual NTS and COGS
Average Selling Price by Trade
Are you looking for solutions using data analytics in Life Sciences?
What Our Clients Say
"What we love about ICUBE CSI is their enviable workforce who is very passionate about partners success, showcasing the true meaning of a great synergy. The team has quickly learned the intricacies of Healthcare domain and has provided fantastic solutions. Highly recommend them."
Prashanthi Manchukonda
Co-Founder
"We really value our long-term relationship with iCube. In addition to the quality of work, a key advantage of partnering with iCube is the governance by the management team. Whenever we had a challenge or opportunity, iCube was a professional, competent partner. I recommend them."
Ted H Sergott
EVP Product Development
"The University of Florida Institute for Child Health Policy has worked closely with ICUBE CSI for over two years in developing online portals for visualizing health care data. ICUBE CSI has been exceptional with the planning, design, and execution of our portal development. Their developers are talented, professional, and work to understand our needs throughout the entire development process."
Deepa Ranka
Director
"What we love about ICUBE CSI is their enviable workforce who is very passionate about partners success, showcasing the true meaning of a great synergy. The team has quickly learned the intricacies of Healthcare domain and has provided fantastic solutions. Highly recommend them."
Prashanthi Manchukonda
Co-Founder
"We really value our long-term relationship with iCube. In addition to the quality of work, a key advantage of partnering with iCube is the governance by the management team. Whenever we had a challenge or opportunity, iCube was a professional, competent partner. I recommend them."
Ted H Sergott
EVP Product Development
"The University of Florida Institute for Child Health Policy has worked closely with ICUBE CSI for over two years in developing online portals for visualizing health care data. ICUBE CSI has been exceptional with the planning, design, and execution of our portal development. Their developers are talented, professional, and work to understand our needs throughout the entire development process."
Deepa Ranka
Director
