Program
Day 1
Tuesday, April 5
(All times are US Eastern Time)
12:00 pm ET – 12:25 pm ET
Industry Survey Analysis: AI in Healthcare 2022
Paco Nathan – Managing Partner at Derwen AI
12:25 pm ET – 12.45 pm ET
The Unified NLP Platform
David Talby – CTO at John Snow Labs
12:45 pm ET – 1:05 pm ET
The Quest for Proactive and Reactive Healthcare
Kira Radinsky – CEO & CTO at Diagnostic Robotics
1:05 pm ET – 1:25 pm ET
Natural Language Technologies: Current Status and Future Evolution
Yoav Shoham – Co-Founder at AI21 Labs
1:25 pm ET – 1:45 pm ET
Cleanlab: Making AI Work with Messy, Real-World Healthcare and NLP Data
Curtis Northcutt– CEO & Co-Founder at Cleanlab
2:00 pm ET – 2:30 pm ET
Automated Patient Risk Adjustment and Medicare HCC Coding from Clinical Notes
Moritz Steller – Architect, AI + ML at Microsoft
Amir Kermany – Technical Director, Healthcare and Life Science at Databricks
How to Build a Foundation of AI-based Healthcare Systems Through Language Models?
Mehdi Bahrami – Member of Research Staff at Fujitsu Research of America
Preparing For The Next Pandemic: Transfer Learning From Existing Diseases Via Hierarchical Multi-Modal BERT Models to Predict COVID-19 Outcomes
Khushbu Agarwal – Senior Research Scientist at Pacific Northwest National Laboratory
2:35 pm ET – 3:05 pm ET
Leveraging Deep Learning and Clinical Text to Predict Asthma Exacerbation
Matthew Davis – Data Science Manager at Ironside
Natural Language Processing for Clinical Excellence: The State of Practices, Opportunities, and Challenges
Yanshan Wang – Vice Chair of Research and Assistant Professor at University of Pittsburgh
Building Reproducible Evaluation Processes for Spark NLP Models
Dhruv Nair – Data Scientist at Comet.ML
3:10 pm ET – 3:40 pm ET
Extracting Events and their Dates from Clinical Text to Generate Real World Evidence
Alex Rich – Staff Data Science Manager at Flatiron Health
Accelerating Healthcare Innovation: Finding Answers Faster Using NLP Models and Dedicated AI Compute
Natalia Vassilieva – Director of Product at Cerebras Systems
Is it Enough to Simply Apply Language Model for Optimal Text Classification?
Meysam Ghaffari – Senior Data Scientist (NLP and Deep Learning) at Memorial Sloan Kettering Cancer Center
3:45 pm ET – 4:15 pm ET
Using Spark NLP to De-Identify Doctor Notes in the German Language
Maciej Piotrowski – Director, IT Architecture, Real World Solutions at IQVIA
Jiri Dobes – Head of Solutions at John Snow Labs
Supporting Mental Healthcare Delivery Using NLP
Setu Shah – Lead Machine Learning Engineer at Headspace Health
Using NLP at Scale to Process Patient Charts for Identifying Patient Encounters
Jayant Thomas – NLP Expert
Day 2
Wednesday, April 6
(All times are US Eastern Time)
12:00 pm ET – 12:25 pm ET
Machine Reading for Precision Medicine
Hoifung Poon – Senior Director of Biomedical NLP at Microsoft
12:25 pm ET – 12.45 pm ET
Current State-of-the-Art Accuracy for Key Medical Natural Language Processing Benchmarks
Veysel Kocaman – Principal Data Scientist at John Snow Labs
12:45 pm ET – 1:05 pm ET
Opportunities and Challenges of Applying Advances in NLP to Healthcare
Elif Ozkirimli – Head of Data Science at Roche
1:05 pm ET – 1:25 pm ET
Collaborative Healthcare NLP: Customisable NLP platforms for health and related research
Xingyi Song – Academic Fellow at The University of Sheffield
1:25 pm ET – 1:45 pm ET
End-to-End No-Code Development of AI Models for Text and Images
Dia Trambitas – Head of Product at John Snow Labs
2:00 pm ET – 2:30 pm ET
Accelerating Use of the Digital Medical Record with Optimized Structured & Unstructured Data
Lucy Parente– Director, Strategy at Diameter Health
1 Line of Code to Use 600+ State-of-the-Art Clinical & Biomedical NLP Models
Christian Kasim Loan – Data Scientist and Spark/Scala ML engineer at John Snow Labs
Few-Shot Text Classification in the Real-World
Moshe Wasserblat – NLP Research Manager at INTEL LAB
2:35 pm ET – 3:05 pm ET
Entropy and Sentiment: the Anna Karenina Principle in Patient Experience Data
Zach Childers – Manager, NLP and Machine Learning at Press Ganey
Using Spark NLP in R: a Drug Standardization Case Study
Katie Goznikar – Senior Data Scientist at IDEXX
Data Centric AI for Healthcare
Leo Janze – Head of NLP at Change Healthcare
Ha Pham -Principal Architect, AI at Change Healthcare
3:10 pm ET – 3:40 pm ET
Radiology Report Summarization
Sanjeev Kumar Karn – Senior Research Scientist at Siemens Healthineers
Medical NLP: Domain Expertise and Data Quality are Vital For Success
Hugo Altamirano – Medical Solutions Architect at iMerit Technology
Automatic mining of adverse drug reactions from social media posts and unstructured chats
Jiri Dobes – Head of Solutions at John Snow Labs
3:45 pm ET – 4:15 pm ET
A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention
Cansu Sen – Senior Machine Learning Scientist at CodaMetrix
Lessons Learned Applying NLP to Create a Web-Scale Knowledge Graph
Filipe Mesquita – Vice President of Research at Diffbot
Identifying Housing Insecurity and Other Social Determinants of Health from Free-Text Notes
Eric Hilton – Senior Data Scientist at Cityblock Health
Caitlin Dugan – Data Scientist at Cityblock Health
NLP Training
Spark NLP for Data Scientists
Training & Certification
April 12, 2022 – 9:00 to 1:00 PST
April 13, 2022 – 9:00 to 1:00 PST
Spark NLP for Healthcare Data Scientists
Training & Certification
Day 1: April 14, 2022 – 9:00 to 1:00 PST
Day 2: April 15, 2022 – 9:00 to 1:00 PST
