Skip to main content Skip to footer

Research and development

Innovate faster to drive productivity and transform patient outcomes

Why reinvent research and development?

With scientific progress and innovation reshaping R&D, the life sciences industry is changing. To meet the demands of faster, cost-effective, and accessible treatments, organizations must adapt to drive value and growth. By integrating advanced technologies, data-driven insights, and innovative models, they can advance pipelines, enhance productivity, and deliver better patient outcomes.

How research and development is changing

Intelligent technologies are advancing R&D

Organizations are moving to the forefront of the industry by applying intelligent technologies to R&D strategy design. These technologies use data to make better decisions, helping companies focus their priorities, reinvent workflows, predict regulatory complexities and aid decentralized clinical trials―accelerating treatments to patients.

What you can do

01

Transform your lab for the future

In the rapidly changing world of science, laboratories are under pressure to speed up research, increase productivity, and drive innovation. Transforming traditional labs into facilities ready for the future requires a strategic approach that embraces cutting-edge technologies and fosters a culture of continuous improvement.

As well as integrating advanced technologies, you can streamline operations by implementing laboratory information management systems (LIMS) and electronic laboratory notebooks (ELNs) to reduce manual effort, accelerate batch release, and simplify record reviews.

Below are some other ways you can unlock your lab’s full potential:

  • Generative AI and the Internet of Lab Things (IoLT): Revolutionize research processes and data management.

  • Augmented Reality (AR) and Virtual Reality (VR): Boost collaboration and deliver immersive training experiences.

  • Robotic Process Automation (RPA): Automate repetitive tasks, allowing scientists to focus on high-value work.

  • Intelligent Scheduling & Lean Lab Principles: Optimize resources and workflows.

  • Lab Digitization: Transition to digital methods for better data accuracy and analysis.

  • Establish dedicated spaces for experimentation and collaboration, and invest in training to ensure your teams stay at the forefront of scientific advancements.

By taking these steps, you can transform your labs into dynamic, future-ready facilities that drive breakthroughs, accelerate innovation, and advance progress in science and medicine.

Read how we collaborated with Lundbeck to use AI to qualify new drug targets.

02

Accelerate clinical trials with human ingenuity and data-driven strategies

The acceleration of clinical development pipelines to stay competitive, sustain growth and meet patient needs more effectively is now critical. Revising traditional methods of drug development, including processes, operating models, and technologies, is necessary to deliver products to patients more quickly, at a lower cost, and with better global access.

To achieve the ambitious goal of 30% reduction in drug development timelines, a well-tuned, efficient, and future-ready clinical development landscape is essential, below are some examples of what you can do: 

1. Design Smarter Trials

  • Use real-world data such as electronic health records Electronic Health Records (EHRs) and wearables to optimize trial feasibility, resource planning, and predictability.
  • Leverage advanced analytics to capture novel endpoints and gain deeper insights into patient experiences.
  • Employ digital tools to refine trial designs and enhance the decision-making process.

The benefits of smarter trials include improved design with greater accuracy, leading to more reliable results. Additionally, there is an enhanced ability to predict outcomes and allocate resources more effectively, ensuring optimal efficiency throughout the process.

2. Streamline Site Selection

  • Utilize data-driven analytics to objectively identify, qualify, and engage high-performing sites.
  • Move beyond subjective decision-making by leveraging clinical trial registries to enhance site efficiency and collaboration.
  • Incorporate data insights to match the best sites with the right trials for faster study initiation.

These actions will result in faster site qualification with reduced administrative burden, as well as more efficient trial execution through higher-performing sites.

3. Enhance Patient Recruitment

  • Use claims data, population health insights, and benchmarking to match patients to trials more quickly and accurately.
  • Leverage digital tools for trial awareness, proactive pre-screening, and engagement to improve patient recruitment.
  • Apply data-led strategies to drive better patient retention and compliance throughout the trial.

Doing so will reduce recruitment times and better patient matching as well as improve patient engagement and retention rates.

4. Ensure Seamless Data Flow

  • Integrate and analyze data from diverse sources (e.g., clinical, operational, and patient data) using advanced methodologies like machine learning and AI for actionable insights.
  • Establish a holistic view of data to drive better decision-making, improving trial speed and outcomes.
  • Minimize manual data entry and ensure real-time data accessibility to support quick, informed decisions.

The benefits include streamlined data processes that lead to faster decision-making and enhanced trial efficiency through consistent data flow and analysis.

5. A Data-First Approach to Modernize Clinical Development

  • Digitally transform clinical development processes by integrating advanced technologies and data science capabilities.
  • Use AI, machine learning, and automation to accelerate decision-making, reduce costs, and enhance the predictability of clinical trial outcomes.
  • Boost productivity by minimizing inefficiencies across people, processes, and technology, leading to quicker clinical development cycles.

90%

of eligible patient populations are not aware of available clinical trials in the US

60%

As many as 60% of protocols require amendments

50%

Up to 50% of trials are not completed on time due to insufficient enrolment, and the average trial extends recruitment by ~70%, costing sponsors millions

03

Optimize regulatory processes with intelligent automation

Transform your regulatory processes by leveraging intelligent automation to enhance efficiency, compliance, and decision-making.

Key strategies for optimizing regulatory processes include:

  • Adopt advanced technologies:
    • Implement RIM technology, generative AI, and digital tools to streamline operations.

    • Use cloud-based solutions to centralize submission documents, clinical trial data, and regulatory correspondence, enabling global, real-time collaboration.

    • Consolidate data in unified repositories to eliminate inefficiencies and ensure up-to-date accessibility.
  • Streamline workflows and standardize data:
    • Apply data standardization and master data management to maintain data uniformity across product registration, labeling, and clinical trials.

    • Use robust data governance to ensure compliance with evolving global regulations, enhancing traceability and visibility into submission statuses.
  • Leverage advanced analytics:
    • Use AI and machine learning to analyze historical regulatory data, predict trends, and optimize submission strategies.

    • Identify and address bottlenecks in the approval process, reducing cycle times and improving efficiency.
  • Automate submission creation:
    • Automate document creation for submissions like CTDs or Module 3 using pre-filled templates, reducing errors and preparation time.

    • Enable faster responses to regulatory inquiries and ensure manufacturing schedules align with the latest regulatory updates.

By adopting these strategies, you can reduce manual workloads, enhance global collaboration, and achieve faster, more reliable regulatory approvals while maintaining compliance and driving innovation.

50%

Achieve up to 50% efficiency gains by automating manual processes.

$1m

Save up to $1 million per 10,000 submissions with AI-powered solutions that eliminate repetitive tasks.

50%

Automate up to 50% of routine maintenance, enabling teams to focus on strategic oversight.

04

Reimagine operations to elevate your function to a strategic value center

Reimagine R&D operations through business process outsourcing (BPO) to shift from a cost center to a strategic value driver, addressing growing drug development complexity, reducing costs, and accelerating innovation. Key actions include outsourcing data management, optimizing site payments, and providing expert support in complex areas like oncology. By adopting next-gen operating models and leveraging digital transformation, R&D functions can be streamlined for better decision-making and efficiency.

Additionally, BPO services, such as AI-driven pharmacovigilance and automated quality management through eQMS solutions, improve compliance, enhance collaboration, and deliver measurable business impact, driving faster innovation.

50%

Transforming R&D Labeling Review with a one-stop, patented solution - iACTIVATE, unlocking more than 40% efficiencies and more than 50% cost reduction for our clients

20%

Organizations can achieve up to 20% efficiencies by combining lean operating models with intelligent tech for services such as Pharmacovigilance across drugs, devices and cosmetics

05

Simplify submission authoring with generative AI

An AI-driven solution designed to automate the creation of regulatory documents, particularly the Common Technical Document (CTD), required for pharmaceutical submissions. It streamlines the process of ingesting and summarizing hundreds of files in various formats, enabling quick and accurate document drafting.

Key Features

  • Automated Document Drafting: Ingest and summarize data from various formats (PDFs, tables) to quickly generate CTDs and other regulatory documentation.
  • Intelligent Content Generation: Uses AI/ML to select and populate CTD templates with relevant content, which is then human-verified and completed.
  • Pre-Built Templates: Access 450+ CTD and 100+ medical device templates to expedite document creation.
  • Microsoft Word Integration: Custom toolbar in Word for efficient formatting, ensuring compliance with regulatory guidelines.
  • Validation and Compliance: Built-in tools for document validation, PLR functionality, and reference management, ensuring adherence to ICH guidelines and regional requirements.

Key Benefits

  • Streamlines the creation of submission-ready documents, saving time and ensuring compliance with regulatory standards.
  • Reduces manual effort by automating content generation and validation, improving efficiency and accuracy in regulatory submissions.

450+

Templates allow rapid deployment of authoring standards across all functional areas to facilitate efficient formation of submission documents.

Our leader

Thomas Lehmann​​​

Managing Director – Life Sciences​