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A Metadata-Driven Approach for Trial Data Management & Analysis for Application in Scalable Clinical Data Lakes

In clinical research and development, data is central to optimizing clinical trials, especially the way the studies are designed and executed. In order to meet the demand of scientists, operations, and project management teams, life sciences companies have evolved their data collection systems with cloud-based solutions. Even though traditional ETL is useful when preparing data…

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Managing Site and Study Performance in Clinical Trials with AI

Clinical trials are extremely expensive and are often fraught with delays. With the increasing complexity of clinical trials, the cost and delays tend to increase and add to the potential risk-factors as well. The pharmaceutical industry is leveraging AI technology to streamline clinical study processes and make them more efficient. It has already made a…

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Streamlining Clinical Trials with AI

A clinical trial involves a set of complex processes, which include writing the protocol, recruiting patients, conducting the study, and culminating in bringing the drug to market. There are many stakeholders involved, in different capacities, to carry out these processes, ensure adherence to regulations, and keep the trial on track. Here are some of the…

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Saama: Walking in IDC’s Footprint, But Forging Our Own Path

Saama recently attended IDC’s 2019 Directions Conference in Santa Clara, CA to hear from the go-to IT industry advisor about how to ensure success in the scaled-up digital economy. The information shared by IDC during the conference was yet another validation of the accuracy of Saama’s strategic vision and data analytics offerings for the life…

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Patient Safety Made More Effective with ML-Enabled Solutions

Patients’ safety is the top priority in any clinical trial. The data safety and monitoring services (DSMC) are there to ensure that the clinical studies are safe and run in accordance with regulations. The medical monitors observe the study in critical detail to ensure patient safety is assured. While medical monitors are here to keep…

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Advancing Outcomes-Based AI to Interact with Trial Data

Only two months into 2019, Saama is excited to announce a capabilities expansion for its Deep Learning Intelligent Assistant (DaLIA). DaLIA, a context and domain-aware conversational user interface for Saama’s Life Science Analytics Cloud (LSAC), was launched in 2018 and shifted the human-computer interaction paradigm. DaLIA’s new, heightened functionality reinforces Saama’s position as an industry…

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Mitigate Risks with AI Capability

One of the major challenges of managing clinical trials is collecting and applying relevant and important performance metrics. These Key Performance Indicators (KPIs) are used to monitor quality and efficiency of the processes. There are many operational parameters that need monitoring, a few of them being: First and last site activated First and last patient…

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Saama’s New Patent and Why it Matters

Saama’s expertise as a leading data analytics innovator continues to be recognized, with the company having just been awarded a new patent, “Systems and Methods for Analyzing Consumer Sentiment with Social Perspective Insight.” This patent focuses on a system which is adaptive, making data harmonization and systems of engagement within systems of intelligence more fluid. Through smart metadata…

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Insights-Driven Trial Planning – Better Decisions for Better Trial Outcomes

This is Part #2 of a blog series describing how disruptive innovation technologies such as Saama’s Life Science Analytics Cloud is enabling the Pharma industry to bend its clinical development cost curve sharply downwards while bringing cures to patients sooner.  This blog, co-authored by Nekzad Shroff  and Amit Gulwadi , explains the ROI benefits of improved trial planning decisions…

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