Please register to join us September 12 at 6:15pm to hear from our speakers:
- Tomasz Adamusiak MD, PhD, Chief Scientist, Clinical Quality and Data Science at MITRE on “Transforming Healthcare with Large Language Models: Towards Patient-Centric AI Solutions”
- Philip Blair, Director, Blair Software will speak on “Active Learning in the Era of LLMs”
Meetup Program
Talks
Transforming Healthcare with Large Language Models: Towards Patient-Centric AI Solutions
Speaker: Tomasz Adamusiak MD, PhD
This talk will explore the revolutionary impact of Large Language Models (LLMs) in healthcare, focusing on patient-centric solutions. The presentation will cover LLM applications in clinical settings, patient engagement, and medical research. Ethical considerations, challenges, and future directions will be addressed, illustrated with real-world case studies. Attendees will gain insights into how LLMs are driving healthcare towards more personalized, efficient, and patient-centered care models.
Active Learning in the Era of LLMs
Speaker: Philip Blair
The expense of annotating data is one of the biggest bottlenecks when training or fine-tuning LLMs for end-user use cases. While few-shot learning has helped dramatically with these costs, it can still be challenging to decide what kind of data is appropriate to use. Active learning is a technique for selecting unlabeled data efficiently using the model as a guide. In this talk, I provide an overview of active learning and discuss recent developments in the space which make it more suitable for the unique use cases of LLMs, including multi-task instruction tuning.
Philip Blair, Director, Blair Software
Philip is the director of Blair Software, an Amsterdam-based AI consultancy specializing in NLP software. Originally from the United States, he spent nearly a decade doing applied research and development on NLP systems, and conducts a mixture of AI software development, AI corporate advisory work, and advising software companies of the impacts of transatlantic AI regulation for companies in Europe and the United States.
Tomasz Adamusiak MD, PhD, Chief Scientist, Clinical Quality and Data Science at MITRE
Tomasz leads a multi-disciplinary group driving high-impact contributions to private and public sectors in Clinical and Genomic Data Science. Before MITRE, Tomasz was the Head of Data Science in the Pfizer Innovation Research (PfIRe) Lab. His team was responsible for developing novel digital endpoints, designing decentralized approaches for clinical trials, and applying AI/machine learning methods to generate novel insights from clinical data. Tomasz served in leadership and advisory roles in the American Medical Informatics Association, the SNOMED International, and the Epic Research Data Network.
