Laboratory and Clinical Trials Automation

Solution Group

Industry

Smart Manufacturing
Health & Life Science

PoC Duration

Iotellect Match

10-20 days
AI powered Low Code IoT/IIoT Platform

Automate lab experiments, test runs, as well as scientific and clinical trial workflows with a comprehensive solution that integrates data collection, analysis, and reporting. Enhance efficiency, ensure legislation and corporate policy compliance, and drive better outcomes by digitizing your processes. Leverage real-time insights to make informed decisions and optimize your research initiatives. Empower teams to focus on innovation while your custom-tailored solution handles the operational complexities.

This platform is designed to empower you to build your own unique solution for laboratory and clinical trials automation. It provides the tools and capabilities you need to convert your domain expertise into a tailored application that meets the specific requirements of your business or customers. This is not a pre-built, off-the-shelf solution. Instead, it is a flexible, low-code development environment that allows you to rapidly create and deploy your own customized system for automating laboratory processes and clinical trials workflows. If you are a business or professional in the health and life sciences industry seeking to enhance your laboratory and clinical trials operations through IoT and automation, this platform provides the tools and capabilities you need to build a tailored solution that drives efficiency, productivity, and innovation.

Build Your IoT Application

Connect Your

Lab or Clinic Infrastructure

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Data loggers
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Smart lab equipment
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Analytical instruments
(spectrophotometers, PCR machines, flow cytometers, etc.)
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Liquid handling robots
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Environment sensors and sensor hubs
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Biosafety cabinets
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Incubators
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Centrifuges
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Microscopes
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Fridges and freezers
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Autoclaves
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Patient wearables
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Telemedicine devices
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Mobile health apps
  • The platform offers out-of-the-box support for many communication protocols, enabling connections with analytical instruments like spectrophotometers and PCR machines
  • Device drivers are used for normalizing data from any device, ensuring efficient integration and operation
  • Edge gateways facilitate real-time environmental monitoring by connecting sensors for temperature, humidity, and CO2 levels within laboratories
  • Integration of biosafety cabinets with the system ensures operational safety and regulatory compliance through comprehensive device control
  • Remote connectivity allows centrifuges to be managed and monitored, optimizing lab operations via centralized management
  • Automated protocols facilitate interaction with incubators, enabling users to control and adjust settings remotely based on real-time data
  • Fridges and freezers are connected through secure protocols, maintaining optimal conditions for clinical trials and sample storage
  • Autoclaves can be remotely programmed to perform sterilization cycles, reducing manual intervention and enhancing process efficiency

Connectivity and Management

  • Coordinated integration with laboratory information management systems (LIMS) consolidates data from various lab devices and trial participants
  • Low-code integrations link remote monitoring systems with environmental sensor data to enhance experimental validation processes
  • Integration with third-party analytics platforms allows dynamic visualization of spectrophotometer data for research insight enhancement
  • Enhanced process efficiency through streamlined data-sharing pipelines via JDBC/ODBC connections

Integration

  • Time-series analysis of data collected from analytical instruments enables predictive insights into experiment outcomes using machine learning models
  • The Statistical Process Control module handles heavy data loads from flow cytometers for spotting trends and anomalies in trial results
  • Edge processing allows for immediate anomaly detection in real-time environmental sensor data to prevent trial interruptions
  • Granulation techniques offer insights into long-term performance of biosafety cabinets by comparing historical operational efficiency
  • Machine learning analysis of incubator performance guides enhancements in experimental protocols based on previous trial outcomes
  • Predictive modeling informs preventative maintenance schedules for centrifuges, minimizing downtime during critical phases of trials
  • Analysis connects environmental sensor readings with experimental results to identify correlations affecting trial outcomes
  • Automated reporting offers comprehensive insights into autoclave utilization patterns, helping optimize resource allocation

Analytics

  • Dynamic dashboards harmonize diverse datasets from analytical instruments, giving researchers an intuitive visual overview of trial results
  • Customizable visual interfaces display live data streams from any device, allowing interactive workflow optimization in real time
  • Visualization features graphically represent past performance trends for strategic planning
  • Interactive alerts through web-based UIs notify technicians about fridge temperature fluctuations, ensuring prompt response to preserve sample integrity
  • An easy-to-use drag-and-drop GUI Builder enables rapid deployment of tailored interfaces for different roles and stakeholders
  • Simplified navigation facilitates instant access to complex datasets generated by environmental sensors across multiple laboratory sites

UI/UX

Key Features
of Your Laboratory and Clinical Trial Automation Solution

Customers and Partners

  • System Integrators
  • Independent Software Vendors
  • Pharmaceutical Companies
  • Contract Research Organizations
  • Academic Research Institutions
  • Medical Device Manufacturers

Solution Users and Developers

  • Dedicated low code developers
  • IoT/IIoT hardware developers
  • Life science industry professionals
  • Scientific and medical equipment specialists
  • Automation and control engineers
Customer success team
Community
Online training

Assistance