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Sameer Sundrani

Explore the profile of Sameer Sundrani including associated specialties, affiliations and a list of published articles. Areas
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Articles 5
Citations 28
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Recent Articles
1.
Evans P, Sundrani S, Bailey C, Robinson J, Upperman J, Lovvorn 3rd H
J Surg Educ . 2025 Feb; 82(4):103444. PMID: 39919581
Objective: Most operative education for surgery trainees occurs in primary academic hospitals. The impact of ambulatory surgery centers (ASCs) on resident operative experience with adult procedures is variable but has...
2.
Jeong D, Sundrani S, Hall R, Krupovic M, Koonin E, Fire A
Mol Biol Evol . 2023 Dec; 40(12). PMID: 38069639
Polintons are double-stranded DNA, virus-like self-synthesizing transposons widely found in eukaryotic genomes. Recent metagenomic discoveries of Polinton-like viruses are consistent with the hypothesis that Polintons invade eukaryotic host genomes through...
3.
Jeong D, Sundrani S, Hall R, Krupovic M, Koonin E, Fire A
bioRxiv . 2023 Sep; PMID: 37662302
Polintons are dsDNA, virus-like self-synthesizing transposons widely found in eukaryotic genomes. Recent metagenomic discoveries of Polinton-like viruses are consistent with the hypothesis that Polintons invade eukaryotic host genomes through infectious...
4.
Sundrani S, Chen J, Jin B, Shakeri Hossein Abad Z, Rajpurkar P, Kim D
NPJ Digit Med . 2023 Apr; 6(1):60. PMID: 37016152
Anticipation of clinical decompensation is essential for effective emergency and critical care. In this study, we develop a multimodal machine learning approach to predict the onset of new vital sign...
5.
Kotani N, Wilkins J, Wade J, Dang S, Sutaria D, Yoshida K, et al.
Cancer Chemother Pharmacol . 2022 Oct; 90(6):511-521. PMID: 36305957
Purpose: The exposure-response relationships for efficacy and safety of ipatasertib, a selective AKT kinase inhibitor, were characterized using data collected from 1101 patients with metastatic castration-resistant prostate cancer in the...
6.
Sundrani S, Lu J
JCO Clin Cancer Inform . 2021 Apr; 5:364-378. PMID: 33797958
Purpose: The application of Cox proportional hazards (CoxPH) models to survival data and the derivation of hazard ratio (HR) are well established. Although nonlinear, tree-based machine learning (ML) models have...