The IOClinica Platform

IOClinica, powered by Excelra, is a clinical trials data platform, manually curated from multiple registries. It is specially built to help revolutionize the field of Immuno-Oncology (IO) with the power of information. To make all of this more actionable, the platform facilitates navigation through disparate clinical trial channels. What’s more, IOClinica is designed to offer complete support to clinical trial optimization, strategic decision making, and other areas of business intelligence.

Key Features of IOClinica

Trends Analysis

Trends Analysis

Save hours of research by dissecting Immune-Oncology (IO) clinical trial data on our trends dashboard. It helps you visualize data of ~7,000 IO clinical trials while filtering real-time data across manually verified and structured biological variables.

Comparative Analysis

Comparative Analysis

Get an executive view to compare IO clinical trials across therapies, indications, sponsors, and targets. You can even look at overlaps and list unique entities related to clinical trials across each of these.

Trial Design

Trial Design

Inform and expedite the process of building your next clinical trial protocol by understanding eligibility criteria of other protocols. You can also discover the most common inclusions and exclusions by phase, therapeutic area, and several other parameters.

Combination Exploration

Combination Exploration

Navigate the complex landscape of combinations for immuno-oncology therapies, explore the most frequent combinations used for a disease of your interest.

Ask an Analyst

Ask an Analyst

Receive bespoke reports and custom services, among other forms of support, based on your searches on IOClinica.

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Our IO Services

Indication Prioritization

Identify and prioritize the right tumor type by using a combination of proprietary algorithms to correlate disease biology, drug response, and pathway analysis in different tumor types.

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Patient Stratification

Fast track the approval of your asset and decrease patient burden by identifying the subset of disease as well as the treatment that is most likely to work.

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Combination Prediction

The process of overcoming the limitations of monotherapy is often elaborate and expensive. With IO services, you can now explore and identify effective drug combinations for different cancer types.

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Target ID & Validation

Current drug discovery efforts are mainly focused on previously validated 'druggable’ protein families. However, our computational pipelines expand and diversify this portfolio by identifying and validating new cancer-relevant targets.

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Tumor Cell Profiling

Single-cell RNA-seq is a powerful tool for revealing heterogeneity in cancer cells. We have built pipelines that classify individual tumor cells, and study interactions between malignant cells and immune cells in the tumor microenvironment

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