The Hol Picture

Our Insights on Real-World Evidence and Behavioral Health

Posts by:

Abhijit Ghosh

A theoretical condensed matter physicist by training, Abhijit now leads the AI & ML team at Holmusk with focus on developing state-of-the-art language models catered to information extraction from unstructured real world clinical notes in behavioural health. He did his PhD from Raman Research Institute, India and has held visiting scientist's position at research institutions of international repute including Brandeis University (USA), Weizmann Institute of Science (Israel) and the Max Planck Institute for Polymer Research (Germany).

Capitalizing on untapped value: Extracting environmental stressors from clinical notes via natural language processing

Consider an emergency room doctor who is caring for a patient who has been hospitalized after a suicide attempt. When she consults his chart, she can see that he has been diagnosed with depression, but the structured data that is immediately available does not provide much additional context. 

Read More