Shreyas Havaldar

Also affiliated with Icahn School of Medicine at Mount Sinai

MedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “A foundation model for clinician-centered drug repurposing”.

A foundation model for clinician-centered drug repurposing

Nature Medicine(2024)10.1038/s41591-024-03233-x

N/A

0.785DataRank · unranked

186 citations

Payal Chandak, Qianwen Wang, Shreyas Havaldar, Akhil Vaid, Jure Leskovec +5 more

dynaPhenoM: Dynamic Phenotype Modeling from Longitudinal Patient Records Using Machine Learning

medRxiv(2021)10.1101/2021.11.01.21265725

N/A

0DataRank · unranked

1 citations

Chengxi Zang, Jie Xu, Hansi Zhang, Sajjad Fouladvand, Shreyas Havaldar +7 more

High-Throughput Clinical Trial Emulation with Real World Data and Machine Learning: A Case Study of Drug Repurposing for Alzheimer’s Disease

medRxiv(2022)10.1101/2022.01.31.22270132

N/A

0DataRank · unranked

7 citations

Hao Zhang, Jie Xu, Hansi Zhang, Sajjad Fouladvand, Shreyas Havaldar +8 more

High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data

Nature Communications(2023)10.1038/s41467-023-43929-1

N/A

0DataRank · unranked

60 citations

Hao Zhang, Jie Xu, Hansi Zhang, Sajjad Fouladvand, Shreyas Havaldar +8 more