Today in FridayScience:
Massachusetts Institute of Technology researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with PersonalizedMedicine.
The enormous amount of information in these now-digital records could be used to answer very specific questions beyond the scope of clinical trials:
- What’s the right dose of this medication for patients with this height and weight?
- What about patients with a specific genomic profile?
The new research can help disentangle the important medical information full of jargon and acronyms, and enable more personalized clinical recommendations for patients.
Read more here: MIT news – Large language models help decipher clinical notes
