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Our Solutions

Empowering Pharmaceutical & Lifescience with AI

Our AI models are equipped to scrutinise extensive datasets sourced from varied channels.

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Real-World Evidence Solutions

Our AI models analyze extensive datasets from diverse sources, ensuring decipherable, scalable, and privacy-focused insights with a federated learning architecture. Trust AI-backed decision-making without compromising data privacy and legal compli

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1Patient Similarity Analysis

Using multimodal AI, we identify clusters of patients with similar profiles, optimizing interventions for targeted demographics.This approach ensures tailored treatments, enhancing patient care outcomes.

2Outcome Prediction with Connected Patient Journeys

AI-driven predictions use diverse data to map detailed patient health trajectories, providing foresight into potential risks and outcomes.Connected visualizations calibrate unique patient pathways, refining treatment strategies.

3Enhanced Safety Monitoring

With AI and multimodal data, we offer vigilant oversight of patient reactions to medical interventions, catching potential risks early.This approach prioritizes patient safety, ensuring timely course corrections.

4Efficacy Signal Detection

Harnessing textual and visual data, our AI models detect early indicators of treatment effectiveness.This in-depth analysis ensures circulated treatments meet the dynamic needs of patients.

5External Control Arm Analysis

External Control Arms (ECA) refer to the use of real-world data as a comparative group in clinical trials when a randomized control is infeasible or unethical. ECAs harness data from sources such as electronic health records, registries, and insurance claims to supplement or replace traditional control arms.AI can rapidly and accurately analyze vast datasets to create these ECAs, ensuring trials are both efficient and maintain rigorous standards of evidence.
ai-illustration

1.Patient Similarity Analysis

Using multimodal AI, we identify clusters of patients with similar profiles, optimizing interventions for targeted demographics.This approach ensures tailored treatments, enhancing patient care outcomes.

ai-illustration

2.Outcome Prediction with Connected Patient Journeys

AI-driven predictions use diverse data to map detailed patient health trajectories, providing foresight into potential risks and outcomes.Connected visualizations calibrate unique patient pathways, refining treatment strategies.

ai-illustration

3.Enhanced Safety Monitoring

With AI and multimodal data, we offer vigilant oversight of patient reactions to medical interventions, catching potential risks early.This approach prioritizes patient safety, ensuring timely course corrections.

ai-illustration

4.Efficacy Signal Detection

Harnessing textual and visual data, our AI models detect early indicators of treatment effectiveness.This in-depth analysis ensures circulated treatments meet the dynamic needs of patients.

ai-illustration

5.External Control Arm Analysis

External Control Arms (ECA) refer to the use of real-world data as a comparative group in clinical trials when a randomized control is infeasible or unethical. ECAs harness data from sources such as electronic health records, registries, and insurance claims to supplement or replace traditional control arms.AI can rapidly and accurately analyze vast datasets to create these ECAs, ensuring trials are both efficient and maintain rigorous standards of evidence.

Evidence based Covariate Adjustment in RCT

Our powerful AI platform utilizes evidence-based covariate adjustment to analyze clinical trials and observational studies. By accounting for influential variables and avoiding confounding effects, we ensure accurate interpretation of results and enhance statistical efficiency.

With the ability to process various data types in a unified model - text, images, structured data, and more - our platform gains comprehensive insights. Identifying correlations across different modalities, such as genetic markers and disease progressi

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Evidence based Covariate Adjustment in RCT

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Our AI-driven conversational agents are seamlessly integrated into an interactive web-based platform, delivering personalized and engaging user experiences. User-centered design principles ensure optimum engagement and satisfaction.

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By integrating human-like characteristics into our conversational agent and web application, we ensure an intuitive and relatable user experience, bridging the gap between AI and human interaction.

Our system constantly learns from user interactions, refining its responses and recommendations in real-time to provide even more accurate and tailored insights over time.

A versatile architecture that synergizes multiple data formats, offering deeper, comprehensive insights and superior decision-making.

State-of-the-art Natural Language Processing/Understanding and Computer Vision algorithms to extract meaningful interpretations from complex data.

Beyond predictions, we emphasize understanding—making sure our AI’s processes and outcomes are transparent and interpretable.

Through Federated Learning, we keep sensitive data localized, setting a new standard in preserving user privacy.

A future-proof architecture, designed to scale and adapt to emerging needs and challenges.

Our product reflects the vision of a leadership team possessing both deep clinical insight and technological prowess, ensuring a harmonious blend of cutting-edge tech with real-world healthcare applications.