Kareem S. Mohamed

ORCID: 0009-0003-9667-704X
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About
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Research Areas
  • CRISPR and Genetic Engineering
  • Genomic variations and chromosomal abnormalities
  • Chromosomal and Genetic Variations
  • Healthcare cost, quality, practices
  • Clinical practice guidelines implementation
  • Machine Learning in Healthcare

Icahn School of Medicine at Mount Sinai
2023-2025

Institute for Systems Biology
2022-2023

Retrospective cohort study.This study assessed the effectiveness of a popular large language model, ChatGPT-4, in predicting Current Procedural Terminology (CPT) codes from surgical operative notes. By employing combination prompt engineering, natural processing (NLP), and machine learning techniques on standard notes, sought to enhance billing efficiency, optimize revenue collection, reduce coding errors.The model was given 3 different types prompts for 50 notes 2 spine surgeons. The first...

10.1177/21925682231224753 article EN cc-by-nc-nd Global Spine Journal 2023-12-26

SUMMARY Aneuploidy, the presence of chromosome gains or losses, is a hallmark cancer and congenital syndromes. Here, we describe KaryoCreate ( Karyo type CR ISPR E ngineered A neuploidy Te chnology), system that enables generation chromosome-specific aneuploidies by co-expression sgRNA targeting CENPA-binding ɑ-satellite repeats together with dCas9 fused to mutant form KNL1. We designed unique highly specific sgRNAs for 19 out 24 chromosomes. Expression these KNL1 Mut -dCas9 leads...

10.1101/2022.09.27.509580 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-09-28
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