Nalini Garg
Senior Manager, Deloitte
San Mateo, California, United States
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AI & Data leader with 14+ years of experience. Women in AI California State Ambassador. Talks about #AI in Life Sciences #Building solutions using Gemini #GenAI #Career in tech
Area of Expertise
Topics
Gender-Inclusive Patient Recruitment: Enhancing Fairness in Clinical Trials
Gender bias in clinical trials has long been a barrier to developing effective treatments that work for everyone. This session focuses on the critical need to eliminate gender bias in patient recruitment to ensure that clinical trials are inclusive and representative of the entire population.
We'll explore the ways in which gender bias can unintentionally influence trial design, patient selection, and data interpretation, leading to skewed results that fail to account for gender differences in treatment responses. We'll also discuss strategies for identifying and addressing these biases at every stage of the recruitment process, from protocol design to outreach and enrollment.
Participants will learn about innovative approaches and best practices for recruiting a diverse patient population that accurately reflects both male and female experiences. By removing gender bias, we can improve the validity and applicability of clinical trial outcomes, ultimately leading to more equitable healthcare solutions.
Building master data pipelines for commercial Life sciences
n today's fast-evolving life sciences industry, the ability to harness and manage data effectively is critical to staying competitive. This session will dive into the intricacies of building master data pipelines that are tailored for commercial life sciences. We'll explore how to design and implement data infrastructures that centralize and standardize critical information from various sources, including clinical trials, patient records, sales data, and market research.
We'll discuss the importance of data consistency, accuracy, and accessibility in driving business decisions, supporting product development, and ensuring regulatory compliance. Attendees will learn about the key components of master data pipelines— from data extraction, transformation, and loading (ETL) processes to implementing rigorous quality checks and ongoing monitoring.
By the end of this session, you'll have a clear understanding of how effective data pipelines can streamline operations, enhance decision-making, and accelerate the time-to-market for new therapies and products. Join us to discover best practices and innovative approaches to mastering data management in the life sciences sector.
Responsibly Advancing AI in Clinical Trials
As artificial intelligence (AI) rapidly transforms the landscape of clinical trials, the need for responsible implementation has never been more critical. This session will explore how AI can be harnessed to enhance clinical trial design, patient recruitment, data analysis, and outcome prediction, while ensuring ethical considerations are front and center.
We'll delve into the potential of AI to streamline trial processes, reduce costs, and accelerate the development of new therapies. However, with great power comes great responsibility. We'll discuss the challenges of bias, data privacy, transparency, and regulatory compliance, and how to address them to build trust in AI-driven methodologies.
Join us as we navigate the delicate balance between innovation and ethics, and discover best practices for integrating AI into clinical trials in a way that enhances accuracy, efficiency, and fairness. Whether you're a researcher, clinician, or industry professional, this session will provide valuable insights into the responsible advancement of AI in clinical trials, ensuring that technological progress benefits both science and society.
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