Innovation and growth drive the life sciences industry. Yet increasing complexity, cost pressures, regulatory issues, and information overload are making innovation harder and harder to achieve.

What if you could manage, analyze, and turn massive volumes of data into valuable and actionable insights to sustain your innovation and maintain competitiveness?
What if you had insight into life science’s toughest challenges?
What if you could make better clinical decisions, ultimately bringing viable, safer products to market faster?

Life Science Analytics Cloud

Life Science Analytics Cloud is the leading AI-enabled clinical analytics platform that seamlessly integrates, curates, and animates your data, delivering more actionable insights.

AI-Enabled
Solutions

Saama employs the focused use of AI to overcome obstacles historically associated with clinical development and improve the life sciences industry’s ability to deliver safe and effective therapies. Intelligently read and use unstructured EMR data while maintaining HIPPA-compliant use of medical text containing de-identified PII. Learn more about our approach.

Holistic View of Critical Enterprise Data

If you have a limited or siloed view of your data, it has a negative effect on the speed and accuracy of your corporate decision-making processes. Saama provides a holistic and comprehensive view of all your data and delivers solutions tailored to your business, guaranteeing the most pressing problems get solved.

Graphical Data Orchestration

All data analytics companies process and aggregate data. The key questions are how comprehensive are the data sets that they can ingest, how long does it take to do it, and how much effort do you need to put into doing it. Saama abstracts data management, making it simple and quick to stitch all your disparate data silos together. Its orchestration environment integrates and aggregates structured and unstructured data, saving up to 26 weeks in trial implementation time.

LSAC for Study Conduct

Saama's Life Science Analytics Cloud (LSAC) for study conduct delivers cleansed, aggregated operational and clinical data for more cost-effective management of clinical trials. Life Science Analytics Cloud provides clinical data management and analytics for bioinformatics and operations. LSAC’s data engine normalizes disparate sources of data from a variety of systems across your enterprise such as CTMS, EDC, financial, etc., to give you a persona-based, holistic view of your clinical trials. Dynamic user experience (ability to zoom in and out) enables the user to spend less time wrangling data while gaining instant access to actionable insights. With LSAC you can assess operational and financial risks across all studies to evaluate performance based on key metrics and flag potential risks that would impede the study.

LSAC for Study Conduct

Saama's Life Science Analytics Cloud (LSAC) for study conduct delivers cleansed, aggregated operational and clinical data for more cost-effective management of clinical trials. Life Science Analytics Cloud provides clinical data management and analytics for bioinformatics and operations. LSAC’s data engine normalizes disparate sources of data from a variety of systems across your enterprise such as CTMS, EDC, financial, etc., to give you a persona-based, holistic view of your clinical trials. Dynamic user experience (ability to zoom in and out) enables the user to spend less time wrangling data while gaining instant access to actionable insights. With LSAC you can assess operational and financial risks across all studies to evaluate performance based on key metrics and flag potential risks that would impede the study.

Global Portfolio Analysis
Life Science Analytics Cloud allows you to keep track of and monitor one study or an entire portfolio of studies.

Risk Management/Mitigation (Operational, Financial)
KPIs tracking ensures that any deviation from expected operational or financial business objectives are flagged so that you can take immediate remedial action.

Region, Country, and Study-Based Milestone Management
Tailored to your business, your regional, country, or study leaders can manage the studies within their control - all from data that represents a single version of the truth.

Global Portfolio Analysis
Life Science Analytics Cloud allows you to keep track of and monitor one study or an entire portfolio of studies.

Risk Management/Mitigation (Operational, Financial)
KPIs tracking ensures that any deviation from expected operational or financial business objectives are flagged so that you can take immediate remedial action.

Region, Country, and Study-Based Milestone Management
Tailored to your business, your regional, country, or study leaders can manage the studies within their control - all from data that represents a single version of the truth.

LSAC for Study Planning

Life Science Analytics Cloud for study planning enables protocol optimization and investigator site selection. Use Real World Data to evaluate:

  1. Study Design by identifying inclusion and exclusion criteria that can have a significant impact on the number of eligible patients
  2. Complexity issues that can negatively impact patient recruitment and retention
  3. Identification of eligible patient and Principal Investigator populations

Life Science Analytics Cloud identifies patient populations based on inclusion-exclusion criteria. LSAC organizes real world patient information based on diagnosis, drug therapy, and procedures, to pinpoint population groups easily that fit specified criteria. LSAC summarizes incidence rates and co-morbidities of a disease and various other target metrics across a target cohort.

Site Selection
Over 11% of sites for a given study fail to enroll a single patient, and close to 40% miss their enrollment targets. Sponsors cannot afford to get this wrong, given the consequences in cycle time delay and cost. LSAC’s augmented Machine Learning helps you choose sites more carefully based on predicted performance for a trial's phase and therapeutic area.

Optimized Protocol Design
Your current protocol is not necessarily the first written for this therapeutic area and phase. Gain wisdom from historic protocols of the same phase and therapeutic area so that you can avoid mistakes that might decrease the performance of your current study. Life Science Analytics Cloud gives you the ability to gain insights that help you see around the curve.

Trial Feasibility/Complexity Scoring
Wouldn't you like to know if your trial had the potential to fail because the inclusion-exclusion criteria made it difficult to find the right patients, the appropriate sites, or PIs who were difficult to select confidently? Life Science Analytics Cloud uses historical, global (Citeline, real world), and unique contextualized data (geospatial, etc.) and AI-augmented techniques to find the right sites and PIs to support the cohorts identified for the trial.

Principal Investigator Selection
Finding the right Principal Investigator for your trial is critical. The skills of the PI that best complement the needs of a given trial and therapeutic area can make a difference in the success of a trial, even after finding the right patients and sites. Leverage LSAC’s advanced capabilities to recommend the most appropriate PIs for your study.

Leveraging Artificial Intelligence to address stubborn drug development challenges

Artificial Intelligence, (Machine Learning, Deep Learning) technologies have very powerful and broad applications across industries. Saama employs the focused use of AI to overcome obstacles historically associated with clinical development and improve the life sciences industry’s ability to deliver safe and effective therapies.

We offer a revolutionary way on interacting with and gaining new insights from your data through a Deep Learning Virtual Assistant (DaLIA) that provides easy-to-use, context and domain-aware conversational experiences as an alternative to the traditional user experience with keyboard and mouse. DaLIA puts you in touch with deep learning, machine learning-augmented functions within LSAC designed to alleviate the planning, feasibility and conduct challenges inherent in and pervasive throughout the drug development continuum.

Application of AI to produce superior business outcomes:

Download the infographic

Clinical Data Analytics: Disruptive Technology on the horizon

Optimize your clinical development processes for faster time-to-market

  • Optimize your clinical development processes giving you faster time-to-commercialization for your products, better business, and patient outcomes, and lowering your development costs.
  • An enterprise-wide view of all your clinical data ingested from all data sources.
  • Evaluate trial performance across a portfolio of studies and flag potential risks that could impede the study by delivering actionable insights on demand.
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