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researcher

M. Isgut

2 papers hereh-index 8409 citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • q-bio.GN1

identity via Semantic Scholar / OpenAlex

most citedExplainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.GN2024

Are gene-by-environment interactions leveraged in multi-modality neural networks for breast cancer prediction?

Monica Isgut, Andrew Hornback, Yunan Luo +3

Polygenic risk scores (PRSs) can significantly enhance breast cancer risk prediction when combined with clinical risk factor data. While many studies have explored the value-add of…

cs.AI2021★ 7 cited

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

Felipe Giuste, Wenqi Shi, Yuanda Zhu +6

Despite the myriad peer-reviewed papers demonstrating novel Artificial Intelligence (AI)-based solutions to COVID-19 challenges during the pandemic, few have made significant clini…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.