Accelerating the Digital Journey for Life Science Organizations

The Life Sciences industry is increasingly looking at the transformative impact of digital technologies, AI and other intelligent solutions to deliver value and scale to their business landscape. From understanding of diseases and engaging with patients to creating innovative product design, organizations are busily engaging in tech modernization and creation of digital organizations for more data driven and self-learning business models.

GS Lab | GAVS is uniquely positioned to accelerate their digital journey, deliver value at scale and transform organization level pain points into industry benchmark solutions.

How We Help You

  • Drug design and optimization
  • Predictive AI models for drug data testing and outcomes prediction
  • Molecules screening and selection
  • AI driven clinical trial design, monitoring, and insights
  • Enable capture, adoption, and analysis of unconventional data
  • Hypothesis generation focused on clinical development and precision medicine approaches

  • Manufacturing process optimization
  • Supply chain and inventory optimization
  • Manufacturing performance and process monitoring
  • Predictive demand and operations management

  • Omni-channel experience for HCP engagement
  • AI powered intelligence across sales & commercial functions
  • New channel development for patient engagement and monitoring

  • AI powered IT management
  • End-to-end infrastructure security management across hybrid environments
  • Adherence to regulatory compliances

Our Services

  • AI driven Intelligent solutions
  • Digital Engineering
  • Data Management and Analytics
  • IoT
  • AI driven Managed Services
  • Cloud solutions
  • Cybersecurity
  • Digital Validation and Assurance

Digital Solutions for Every Need

R&D Solutions

  • Molecule screening and compound- target outcomes prediction
  • Drug design and optimization based on pattern recognition
  • Compound/ molecule libraries assessment, selection, re-evaluation/ repurposing
  • AI model for data testing- cellular response, end point prediction, biomarker models and analysis
  • Predictive drug properties, bioactivity, therapeutic response, potency and toxicity

Clinical Solutions

  • Understand, aggregate, and derive insights from proprietary and external data to generate hypothesis focused on clinical development and precision medicine approaches
  • Enable analysis on unconventional and unstructured data from varied sources- files, images, EMRs, devices, wearables and sensors, social media listening
  • Strategies for patient segmentation, subpopulations, patient enrollment and engagement
  • AI-driven clinical trial insights for study monitoring to improve accuracy of RBQM and faster risk prediction/ identification
  • Insights and interpretation for future protocol design

Commercial and Marketing Solutions

  • AI-powered marketing Intelligence
  • Personalized and dynamic HCP communications and content
  • AI-driven omnichannel and next best action programs
  • AI powered MSL apps and feedback tools
  • HCP and patient journeys- personas analysis, behavior prediction
  • ML models for personalized and Precision medicine inputs
  • Channel analysis- ROI, performance, effectiveness

Manufacturing & Supply Chain Solutions

  • Manufacturing process optimization, identify bottlenecks, predict outcomes of corrective actions
  • Manufacturing performance- yield, quality, capacity management insights
  • Monitor in-line manufacturing processes
  • Predictive quality management
  • Supply chain management, supplier reliability and inventory optimization
  • AI enabled Integration of manufacturing, logistics, and sales for optimizing demand management and operations

  • Enterprise digital transformation
  • Digital therapeutics
  • “Around the pill” digital offerings
  • “Beyond the pill” digital offerings
  • Digital commercial aids
  • Omni-channel Marketing/engagement tools
  • Patient journey aids

Clinical, R&D

  • Unmet need identification
  • Disease state analytics
  • Target identification and validation
  • Lead optimization, molecule refinement
  • Trial protocol reviews, design innovation
  • Portfolio planning
  • Patient and site profiling
  • RBQM (Risk Based Quality Management)

Manufacturing & Supply Chain

  • Demand management and planning
  • Cost optimization
  • Supply chain optimization
  • Yield maximization
  • Procurement planning
  • Quality reviews
  • Commercial/marketing

Commercial & Marketing

  • Time to market acceleration
  • Launch management
  • Sales and field team management
  • Physician engagement
  • Patient engagement
  • Behavior analysis
  • CDSS, disease progression
  • RWE utilization
  • VBC, outcome-based pricing models
  • HEOR

Clinical, R&D

  • Drug discovery scenarios
  • Wearables and sensors in trials
  • Site and subject screening/monitoring

Manufacturing & Supply Chain

  • Serialization
  • Logistics and warehouse tracking, routing
  • Supply chain- sensors to capture temperature and storage parameters
  • Predictive maintenance

Commercial & Marketing

  • Wearables, remote devices for Patient monitoring
  • Smart and mobility devices for patient engagement
  • Smart pills- ingestible and implantable sensors
  • Treatment compliance

Functional testing – 3Q’s approach

  • IQ ensures successful and right installation of software, build verification, and smoke tests.
  • OQ tests key operational and security functions.
  • PQ validates performance gaps and issues impacting business, user experience.

AI-Driven Autonomous Validation Model

Continuous testing that plugs right into DevOps tooling

Test Creation
  • New functionality and regression testing.
  • ML & cognitive generation to instantly produce thousands of tests.
Test Execution
  • Wide variety of tests across functional, unit, performance, load & security.
  • Lightning-fast test runner – test across 1000’s of browsers/multiple devices at once.
  • Unique write-once capability.

Test Automation

Application Analysis
  • Analysis of the applications in scope – technology stack, users, business criticality, current automation levels, etc.
Tool Selection
  • Evaluation of tools & fitment analysis – ROI, tool reusability, tool maintenance.
  • Efforts for team up-skilling.
  • Provide tool recommendation report.
Automation Framework
  • Design and create an automation framework broadly covering the processes.
  • Documentation covering process and framework reusability.
Pilot
  • Define success criteria for Pilot.
  • Choose an application/module for Pilot – a representation of the application environment.
  • Execute the Pilot and demonstrate the outcome.
Execution
  • Mainstream QA of the applications through automation using the tools.
  • Maintenance of scripts in the repository for reuse.
  • Gauge performance metrics.

Performance Testing

Our Key Considerations
  • Architecture review and changes – Component/Cluster/SOA model
  • Deployment plan – Multiple servers and web farm
  • Code structure – Structure of the core code, code generation, code integration
  • Environment – Scaled down environment (extrapolate through modelling techniques), types of environment (dev, pre prod and prod)
  • Functional stability – Major functional defects to be closed, all UI defects to be closed

Our Accelerators


Expert Insights
Workplace
Computer


Key Engagements

  • AI/ML in oncology
  • Vocal biomarkers on an AI/ML platform
  • Pharma 4.0 – intelligent factories and integrated supply chains

You are just a call away from superior care delivery

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