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Saama Blog

Big Data Insights on Saama solutions and services

Analytics Trends 2018: Blockchain and AI to Accelerate Clinical Trials Transformation

By Sagar Anisingaraju | January 10, 2018

All clinical trial processes are witnessing rapid transformation due to the demand for faster and completion of trials at lower costs. Insights gleaned from Real World Data (RWD) in the past few years have offered several avenues for improving clinical trials. Sagar Anisingaraju discusses the upcoming trends of 2018 in this light. Read on to learn about the technologies poised to make a wave this year.

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An Attentive Sequence Model for Adverse Drug Event Extraction from Biomedical Text

By Malaikannan Sankarasubbu | January 3, 2018

Adverse reaction caused by drugs is a potentially dangerous problem which may lead to mortality and morbidity in patients. Adverse Drug Event (ADE) extraction is a significant problem in biomedical research. We model ADE extraction as a Question-Answering problem and take inspiration from Machine Reading Comprehension (MRC) literature, to design our model. Our objective in…

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Reflections 2017: All Roads Lead to Excellence in Data Analytics Solutions and Services

By Suresh Katta | January 3, 2018

As I look back at our accomplishments in 2017, I am delighted at the progress we have made on many fronts to make Saama a very relevant contributor to the life sciences industry. Over the course of the year, we have expanded our global presence, achieved significant technological milestones, and added several industry luminaries to…

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Different Kinds of Convolutional Filters

By Soham Chatterjee | December 20, 2017

Convolutional Neural Networks have brought about huge changes in computer vision and other image related tasks. Soham Chatterjee discusses how different convolution operations work and uses illustrations of design techniques for different filters to explain them in depth.

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machine learning

Applications of Signal Processing in Machine Learning

By Archana Iyer | December 13, 2017

Data is available abundantly in today’s world. However, it is noisy most of the time. In this article, Archana Iyer discusses some filter processing techniques that can help us get a better quality of data. With the advent of IoT, many types of medical data are now available in the form of sensor data. This…

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Clinical Data

Lab Data Generation: Evaluation of Data Simulation Approaches and a General Solution

By Rajeev Gangal | December 6, 2017

Most of the time, not enough sample clinical data is available due to various reasons. This sample data is essential for running analytics for development and testing. Rajeev Gangal discusses the way they tackled their need for generating simulated data for a project. Read on to know more. To paraphrase a recent statement by The…

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big data

3 Key Big Data Challenges that Pharma Companies Needs to Solve to Keep Their Competitive Edge

By Leon Surgeon | November 29, 2017

Very few pharmaceutical companies have been able to truly leverage their data for competitive advantage. Leon Surgeon discusses the main challenges faced by pharmaceutical companies in their quest to successfully leverage their data to gain and sustain business advantage.

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Thanksgiving Week: Acknowledging Everything that Deserves Our Gratitude

By Crystal Black | November 21, 2017

Today, in a world where it’s easy to be caught up in the day-to-day tasks, we forget to take a moment to pause and say a heartfelt, “thank you,” especially when there is so much to be thankful for. Crystal Black does just that in this post, keeping in with the spirit of Thanksgiving.

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machine learning

Capsule Networks and the Limitations of CNNs

By Soham Chatterjee | November 16, 2017

Convolutional Neural Networks are considered the State-of-the-Art in computer vision related Machine Learning tasks. Soham Chatterjee highlights the limitations of CNNs and discusses alternate models that closely mirror the way the human brain work. He uses Professor Geoffrey Hinton’s paper, Dynamic Routing Between Capsules, to establish certain points. Convolutional Neural Networks, popularly called CNNs, have…

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Deep Learning

Deep Learning Diaries: Building Custom Layers in Keras

By Abhai Kollara | November 1, 2017

There are many deep learning libraries available, some are more popular than the others, and some get used for very specific tasks.  Abhai Kollara discusses the merits of Keras and walks us through various examples of its uses and functionalities. He also compares it with some of the popular libraries. Natural Language Processing or Computer…

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Emerging Key Trends in Data and Analytics in Pharma Industry

By Rajeev Dadia | October 18, 2017

Key data and analytics trends are evolving rapidly as they are increasingly being driven by business needs. Rajeev Dadia looks at the technologies that are supporting the emerging and existing trends in data and analytics in the pharmaceutical industry.

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Life Science Analytics Cloud

Setting new standards in optimizing clinical development processes: Saama launches the Life Science Analytics Cloud

By Leon Surgeon | September 27, 2017

Last week, Saama launched Life Science Analytics Cloud, a complete set of offerings that can fast-track clinical development processes. Crystal Black talks about the launch process, response from customers so far, and the impact such an offering can have, especially in saving lives.

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Data Analytics

New Frontiers in Data Analytics for Pharma and Healthcare

By Malaikannan Sankarasubbu | September 13, 2017

Mining Unstructured Texts for Insights using Convolutional Neural Networks Pharmaceutical and Healthcare domains deal with a tremendous amount of unstructured texts, which can be mined effectively using CNN for NLP approach. Malaikannan Sankarasubbu talk about these advanced techniques that can have many applications, such as, building better cohort for clinical trials or establishing better inclusion/exclusion…

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Disease data mining

Value of Biological Data Integration

By Rajeev Gangal | September 6, 2017

Mining Disease-Disease Associations using Disease-Gene Analytics The key to developing a treatment to any disease lies in understanding the gene mechanism. There has been tremendous progress in elucidating molecular mechanisms of diseases. Rajeev Gangal discusses the significance of mining disease-disease associations using disease-gene analytics. It can be used to find ways of repurposing drugs, among…

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Clinical Data Analytics

5 Abilities an Effective Clinical Data Analytics Solution Must Have to Grow Your Business

By Leon Surgeon | August 30, 2017

Most of the clinical data analytics solutions available today tend to solve only a part of the data management challenge. Leon Surgeon talks about a solution that has the ability to harmonize data from disparate sources, leverage it for actionable insights, and accelerate the clinical trial process. Read the white paper to learn more about…

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