Saama @ SCOPE 2022
While we won’t be there in person, the Saama team will be offering four interactive presentations on life sciences innovation.
Our Sessions
10X Efficiency in Clinical Data Quality Processes
Srini Anandakumar, VP Product Management, will share best practices for cleaning and standardizing data, so it’s ready for analysis and submission in record time.
Track: Clinical Data Strategy and Analytics
Natural Language Understanding and Knowledge Graphs
Malai Sankarasubbu, VP, AI Research, will explain how natural language understanding improves data integration, analytics, and sharing.
Track: Artificial Intelligence in Clinical Research
Next-Gen Clinical Risk Mitigation
Garrett Manasco, Solutions Lead, RBQM, will show you how to leverage artificial intelligence and machine learning for more efficient, effective, and transparent risk-based management.
Track: Central and Remote Monitoring
Finding the Needle in the Haystack: AI-Guided Medical Monitoring
Nekzad Shroff, VP Product Management, and Aditya Gadiko, Product Manager, Clinical Informatics, will cover new approaches to medical monitoring that can simplify workflows and scale to meet growing data challenges.
Track: Artificial Intelligence in Clinical Research
Our Speakers
Srinivasan Anandakumar
Srini heads the Product management at Saama for a portfolio of products that accelerate clinical data management and submissions. He is also responsible for clinical trials data platform strategy that enables both analytics and submission pathways. Srini has 20+ years of Clinical trials process and technology experience and is passionate about building next-generation products to accelerate Clinical Trials.
Srinivasan Anandakumar
Aditya Gadiko
Aditya is the Director of Clinical Informatics at Saama, he is currently hyper-focused on transforming the way clinical trial data is consumed by medical monitors and clinical scientists by leveraging his deep understanding of clinical sciences, data standards, and regulatory requirements along with tech and statistics experience to build an AI-guided data exploration product.
Aditya Gadiko
Garrett Manasco
With more than 10 years of clinical risk-based management experience, including five years as a product manager, Garrett leads Saama’s efforts to mitigate risk through the application of artificial intelligence and machine learning technologies.
Garrett Manasco
Malaikannan Sankarasubbu
In charge of accelerating clinical trials using AI, Malaikannan Sankarasubbu specializes in deriving insights from unstructured data. Prior to Saama, he was Founder/CTO at Datalog.ai, whose MyPolly chatbot-building platform was powered by natural language understanding. Before that, he worked in Enterprise Architecture at Optum and Cognizant. Malaikannan actively builds community, shares his knowledge, and blogs about AI at malaikannan.io.
Malai Sankarasubbu
Nekzad Shroff
Nekzad Shroff heads product management for Saama’s portfolio of LSAC Smart Analytics products. He brings 20+ years of expertise in product design, user experience, business intelligence, business case development, and change management. He has deep experience in the life sciences industry and the clinical development lifecycle, focusing on bringing transformational AI-driven insights directly to key stakeholders to speed up and enable them to shorten time to market for life-saving therapies.
Nekzad Shoff
Be sure to attend one or more of our sessions to learn how AI, automation, and analytics can accelerate your trials, improve quality, and cut your costs dramatically. To learn more, fill out the form below and a representative will reach out to schedule a meeting.
Fill out the form below for a virtual lunch-on-us!
Saama Insights
SDQ, SAM, and SPACE: Smart Applications and the Renaissance in Life Sciences Data Management
Saama’s Smart Applications are revolutionizing data management in clinical research. These AI-powered, independent software modules sit on top of your …
A Breakthrough in Medical Coding
Saama’s new auto-coding module improves medical coding accuracy using popular dictionaries. Despite the importance of medical coding during clinical trials, …
Introducing a Better Work Environment for Clinical Programmers and Biostatisticians
Drug development delays are common throughout the course of clinical studies, and clinical programmers and biostatisticians experience their fair share …