Iotellect - 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

Data loggers

Smart lab equipment

Analytical instruments

(spectrophotometers, PCR machines, flow cytometers, etc.)

Liquid handling robots

Environment sensors and sensor hubs

Biosafety cabinets

Incubators

Centrifuges

Microscopes

Fridges and freezers

Autoclaves

Patient wearables

Telemedicine devices

Mobile health apps

Connect Devices

Connectivity & Management

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

Integration

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

Analytics

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

UI/UX

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

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

Laboratory and Clinical Trials Automation